Latest Posted Questions

Some previous exercises have involved model (theoretical) properties of an $\mathrm{AR}(2)$ process. In this exercise, you are to use simulated data from an $\mathrm{AR}(2)$ process. For each...
(a) Show that the denominator in the solutions to the Yule-Walker equations (5.119) and (5.120), $(\gamma(0))^{2}-(\gamma(1))^{2}$, is positive and less than 1. (b) Suppose that for a certain...
Obtain the weekly log returns of the S\&P 500 index for the period January 1, 1978 through December 31, 2017, and compute the weekly $\log$ returns. (a) Test for an ARCH effect in this time series....
Consider the regression of the US gross domestic product (GDP) on some other economic measures relating to the labor force. There are various measure of the GDP. We will use the dataset GDP at FRED,...
The weekly yields of Moody's seasoned Aaa corporate bonds, the yields of 3-month Treasury bills, the yields of 2 -year Treasury notes, the yields of 10 -year Treasury notes, and the yields of 30-year...
(a) Generate four sets of ARIMA data using the same models as used to produce the series shown in Figure 5.13, except for the innovations, use a t distribution with 5 degrees of freedom. Plot the...
Simulate a random walk $\left\{z_{t} ight\}$ of length 500 . Now generate two series, $\left\{x_{t} ight\}$ and $\left\{y_{t} ight\}$, each of which follows the random walk with an additive...
(a) i. Generate a random walk of length 10 and perform an augmented Dickey-Fuller test on the series for a unit root. ii. Generate a random walk of length 100 and perform an augmented Dickey-Fuller...
Obtain the quarterly, seasonally-adjusted US gross domestic product (GDP) in the FRED dataset GDP (beginning in 1947). Test for a unit root in the $\log \mathrm{CDF}$. Use six different tests:...
(a) Obtain the daily adjusted closing prices of MSFT for the period January 1, 2007, through December 31, 2007. i. Perform an augmented Dickey-Fuller test on the series of adjusted closing prices for...
What does a value of = .95 tell you? a
Give two advantages of a matched-samples study over a study with independent groups.
What is the usual null hypothesis with matched samples?
The major advantage of matched samples is that ____.
What do we mean by matched samples?
To what does the symbol 0 refer?
Obtain the exchange rates for the US dollar versus the euro from 1999-01-04 to the present and the exchange rates for the Japanese yen versus the US dollar for the same period, and test for...
In question F, what would we use in the denominator to calculate ? a
What is a carry-over effect?
What is the difference in the standard deviation used to calculate and the standard deviation used to calculate a confidence interval? a
The Step Company has the following Information for the year just ended: Sales in units Budget 15,000 Actual 14,000 Sales $150,000 $147,000 Less: Variable Expenses 90,000 82,600 Contribution Margin $...
For the data in Exercise 13.1, create a scatterplot and calculate the correlation between husbands and wifes sexual satisfaction. How does this amplify what we have learned from the analysis in...
In the study referred to in Exercise 13.1, what, if anything, does your answer to that question tell us about whether couples are sexually compatible? What do we know from this analysis, and what...
Some would object that the data in Exercise 13.1 are clearly discrete, if not ordinal, as defined in Chapter 2, and that it is inappropriate to run a t test on them. Can you think what might be a...
Use techniques developed in Chapter 12 and this chapter to construct 95% confidence limits on the true mean difference between the Sexual Satisfaction scores in Exercise 13.1. Exercise 13.1 Hout,...
Create a scatterplot of the data in Exercise 13.6, and compute the correlation between the two sets of scores. What does this say that is relevant to the answer to Exercise 13.7? Exercise 13.7 Why...
Why would you use a paired t test in Exercise 13.6? Exercise 13.6 Hoaglin, Mosteller, and Tukey (1983) present data on blood levels of beta-endorphin as a function of stress. They took beta-endorphin...
Compute a measure of effect size for the data in Exercise 13.6, and tell what this measure indicates. Exercise 13.6 Hoaglin, Mosteller, and Tukey (1983) present data on blood levels of beta-endorphin...
We always need to look closely at our data. Sometimes we find things that are hard to explain. Look closely at the data in Exercise 13.6; what attracts your attention? Exercise 13.6 Hoaglin,...
Assume that the mean and the standard deviation of the difference scores in Exercise 13.6 would remain the same if we added more subjects. How many subjects would we need to obtain a t that is...
Using your answer to Exercise 13.14 and your knowledge about correlation, how would you expect the degree of correlation between two variables (sets of data) to affect the magnitude of the t test...
Modify the data in Exercise 13.6 by shifting the entries in the 12 hour column so as to increase the relationship between the two variables. Run a t test on the modified data and notice the effect on...
Whether or not you found a significant difference in Exercise 13.13, Vul and Pashler did. But are first guesses better than the average of the two? Exercise 13.13 Assume that the mean and the...
Many mothers experience a sense of depression shortly after the birth of a child, known as postpartum depression (PPD). Design a study to examine PPD and tell how you would estimate the mean increase...
In the anorexia example in Section 13.2 I subtracted the After scores from the Before scores. What would have happened if I had done that the other way around?
We have not discussed confidence limits on effect sizes, but Ken Kelly and Keke Lai, at Notre Dame, created an R library named MBESS to calculate such limits. Using the data in Table 13.1, compute...
Question 2 (2 marks) The year level coordinators for Years 7 to 11 at the school are Amy (A), Brian (B), Claire (C), Daisy (D) and Ellie (E). A faulty telephone system means that some of these...
What is the difference between N and n?
Give two reasons why we would run an experiment with independent groups of scores.
What do we mean by pooling variances?
What do we mean when we say that two effects are confounded?
What is meant by the assumption of homogeneity of variance?
What are error bars?
How does the calculation of confidence limits on the difference between two means differ from the calculation when we have one mean?
What do we mean by a bidirectional hypothesis?
The t value that you obtain in Exercise 14.1 will be somewhat smaller than the t value from Exercise 13.1. Why should we have anticipated this? Exercise 14.1 In Exercise 13.1 we had paired data...
In Exercise 13.1 we had paired data because we had a response from both the husband and the wife within a married couple. Suppose that instead of using married couples we just took a large group of...
Why isnt the difference between the results of Exercises 13.1 and 14.1 greater than it is? Exercise 13.1 Hout, Duncan, and Sobel (1987) reported on the relative sexual satisfaction of married...
On a certain farm alfalfa yields have been 4.3, 7.2, 5.6, and 3.6 tons per acre in the last 4 years. What is the expected value for the farm's alfalfa yield, if each past result is given equal weight...
What is the role of random sampling in the anorexia study?
In the example in this chapter about the treatment of anorexia, what basic assumption would we have to make if we compared the final weights of the two groups (rather than comparing the amount of...
In Exercise 14.8 a significant difference might lead someone to suggest that poor parentchild relationships are the cause of schizophrenia. Why might this be a troublesome conclusion? Exercise 14.8...
Calculate the 95% confidence limits on 1 2 for the data in Exercise 14.11. Exercise 14.11 Much has been made of the concept of experimenter bias, which refers to the fact that for even the most...
Calculate a measure of effect size for the data in Exercise 14.11. Exercise 14.11 Much has been made of the concept of experimenter bias, which refers to the fact that for even the most conscientious...
Clark Company's current year income statement, comparative balance sheets, and additional information follow. For the year. (1) all sales are credit sales. (2) all credits to Accounts Receivable...
What would be the confidence limits on the results in Exercise 14.13? Exercise 14.13 Calculate a measure of effect size for the data in Exercise 14.11. Exercise 14.11 Much has been made of the...
Calculate Cohens for the data in Exercise 14.15. Exercise 14.15 Using the data in the file Add.dat on the Web, compare grade point averages for those having ADDSC scores of 65 or less with those...
Using the data in the file Add.dat on the Web, compare grade point averages for those having ADDSC scores of 65 or less with those having ADDSC scores of 66 or more.
With respect to the previous exercise, what would happen if regardless of n i ? 2 s=s 2
What do the answers to Exercises 14.15 and 14.16 tell you about the predictive utility of the ADDSC score? Exercise 14.16 Calculate Cohens d^ for the data in Exercise 14.15. Exercise 14.15 Using the...
Brescoll and Uhlman(2008), in the study described in Exercise 14.18, found the reverse effect for females. They thought that perhaps this latter result was related to the way anger is judged in...
Use R or other software to repeat the results for Exercise 14.11. Exercise 14.11 Much has been made of the concept of experimenter bias, which refers to the fact that for even the most conscientious...
Use R or other software to repeat the results for Exercise 14.8. Exercise 14.8 The Thematic Apperception Test (TAT) presents participants with ambiguous pictures and asks them to tell a story about...
List three things that affect the power of a test.
What do we mean by power?
Why does power depend upon sample size?
Write each claim as a mathematical statement. State the null and alternative hypotheses, and identify which represents the claim. 1. A school publicizes that the proportion of its students who are...
What name do we give to our adjusted sample size with unequal ns?
Why do we have a special formula for calculating power in a two-group experiment with quite unequal sample sizes?
What do we mean when we write d (delta) 5 d[f(n)]?
As a rough estimate, a medium effect size would have d = _____.
A medical research team is investigating the benefits of a new surgical treatment. One of the claims is that the mean recovery time for patients after the new treatment is less than 96 hours. 1. How...
You perform a hypothesis test for each claim. How should you interpret your decision if you reject H 0 ? If you fail to reject H 0 ? 1. H 0 (Claim): A school publicizes that the proportion of its...
For each claim, state H 0 and H a in words and in symbols. Then determine whether the hypothesis test is a left-tailed test, right-tailed test, or two-tailed test. Sketch a normal sampling...
The USDA limit for salmonella contamination for ground beef is 7.5%. A meat inspector reports that the ground beef produced by a company exceeds the USDA limit. You perform a hypothesis test to...
A process manufacturer reports the following: Conversion Units Beginning work in process inventory 194,000 Percent Complete 85% Units started this period 420,000 Units completed and transferred out...
The data show the number of school districts in each state in the United States. Construct a frequency distribution using six classes for the data and summarize the results. 134 54 627 255 1042 198 1...
The following data show the household pets that people own: F = fish, D = dog, B = bird, C = cat, and R = reptile. Construct a categorical frequency distribution for the data and summarize the...
The following data show the high temperatures for May 8 in 22 selected cities around the world. Construct a frequency distribution for the data. Use five classes. 733 28 888 102 80 91 77 171 775
A survey of 32 medical doctors shows the number of days that they worked in a recent year. Construct a frequency distribution for the data using six classes. Summarize the results. 240 232 280 261...
The following data show the ages of 50 patients who had sports-related surgeries. Construct a frequency distribution for the data using five classes and summarize the results. SEARC REESE 7253 28 25...
The data show the mean ranges for tides in coastal cities in the United States. The ranges represent the difference of the mean high water mark and the mean low water mark. Construct a frequency...
Let $X$ be a random variable and let $\mathrm{E}(X)=\theta eq 0$ and $\mathrm{V}(X)=$ $\tau^{2}>0$. Let $b$ be a constant such that \(0
(a) Show that the variance of the Poisson distribution whose probability function is shown in Table 3.1 is $\lambda$, the same as the mean of the distribution. (b) Show that the mean of the...
Consider the simple discrete distribution of the random variable $X$ with probability function as given in equation (3.18). Make two transformations, \[ Y=2 X+1 \] and \[ Z=X^{2}+1 \] (a) Using the...
(a) Determine the survival function and the hazard function for the Weibull distribution with parameters $\alpha$ and $\beta$. (b) Determine the hazard function for the exponential distribution...
Suppose the price of stock XYZ is $\$ 100$, suppose that the standard deviation of the daily returns of XYZ is 0.002 , and suppose that the risk-free interest rate $r_{\mathrm{F}}$ is $1 \%$....
(a) Let $X$ have the triangular distribution (see Exercise 3.3e.) Let $Y=2 X+3$. Determine the PDF of $Y$, show that your function is a $\mathrm{PDF}$, and compute $\mathrm{E}(Y)$ and...
Crane Windows manufactures and sells custom storm windows for three-season porches. Crane also provides installation service for the windows. The installation process does not involve changes in the...
(a) Plot on the same set of axes, using different line types and/or different colors, the PDFs of a standard normal distribution, a $t$ with 10 degrees of freedom, a $t$ with 2 degrees of...
(a) Generate 10,000 random variables following the beta $(5,5)$, the beta $(0.8,0.8)$, the beta $(0.8,5)$, the beta $(5,2)$, the beta $(2,5)$, and the beta( $5,0.8)$ distributions. Fit...
(a) For the standard normal distribution, plot the PDF in equation (3.101) for four values of $\alpha, \alpha=-1, \frac{1}{2}, 1,2$, along with the PDF of the standard normal. (b) Generate 1,000...
(a) Consider a normal distribution with mean 100 and variance 100. Write out the CDF of the threshold exceedance distribution with respect to 120 (two standard deviations above the mean). Just use...
(a) Write a function to generate multivariate normal random numbers of a specified dimension and with a specified covariance matrix. The first statement for an $\mathrm{R}$ function should be...
(a) Let $X$ be a random variable with a location-scale t distribution with 3 degrees of freedom, location 100, and scale 10. i. What is the probability that $X$ is less than or equal to 110 ? ii....
(a) Show formally that the median of a lognormal distribution with parameters $\mu$ and $\sigma$ is $\mathrm{e}^{\mu}$. Now generate 1,000 numbers that simulate a lognormal distribution with...
Consider a random sample of size $n$ from the unit Pareto distribution with PDF \[ f(x)=2 x^{-2} \quad \text { for } 0 \leq x \] that is, for the Pareto with $\alpha=2$ and $\gamma=1$. (a)...
Use a Sobol' sequence to generate 1,000 quasirandom numbers from the triangular distribution, as in Exercise 3.17a. (A Sobol' generator is in the $\mathrm{R}$ package randtoolbox.) Produce a...
Let $m=2^{31}-1, j=5$, and $k=17$. Let \[ \left\{x_{1}, x_{2}, \ldots, x_{17} ight\}=\{m / 17-1,2 m / 17-1, \ldots, m-1\} \] Now for $i=18,19, \ldots, 1017$. Compute a "random sample" of size...
Suppose $X$ has a bivariate normal distribution, with mean 0 , $\mathrm{V}\left(X_{1} ight)=\sigma_{1}^{2}$, and $\mathrm{V}\left(X_{2} ight)=\sigma_{2}^{2}$. Let $F_{1}$ and $F_{2}$ be the...
(a) Generate 1,000 random numbers from the triangular distribution. (The PDF is given in equation (3.28).) Produce a histogram and compute some summary statistics. \(f_X(x)= \begin{cases}1-|x| &...
What is meant by sampling error and non sampling error?
We form a portfolio consisting of two stocks, XYZ, and $\mathrm{ABC}$ whose daily log returns of the stock $\mathrm{ABC}$ have a location-scale $t$ distribution with mean 0 , scale 0.005 , and...
Suppose that the daily log returns of an asset follow a location-scale $\mathrm{t}$ distribution with mean 0 , scale 0.002 , and degrees of freedom 6, and assume that the daily log returns are...
Consider the daily prices of XYZ, as in Exercise 3.19, and assume the same location-scale $t$ distribution for the returns. Generate 1,000 random sequences of 253 daily prices of XYZ, each starting...
Suppose the price of stock XYZ is $\$ 100$. Suppose that the daily $\log$ returns follow a location-scale t distribution with mean 0 , scale 0.002, and degrees of freedom 6 . Assume that the...
Determine whether descriptive or inferential statistics were used. a. A study of 5000 diners found that people who used a menu printed with calorie counts for meals reduced their caloric consumption...
Outline two benefits of good group dynamics on a team's performance. Provide examples of three causes of poor group dynamics. Explain why a team would need a team performance plan.
What level of measurement would be used to measure each variable? a. The ages of the instructors at your college b. The occupations of students who work part time after school c. The lowest...
Find the boundaries for each measurement. a. 32.4 feet b. 86 Fahrenheit c. 27.54 mg/dl
Classify each variable as a discrete or continuous variable. a. The number of hours per day that children 6 to 12 years old reported that they played video games b. The number of home runs a Major...
Read the following on attendance and grades, and answer the questions. A study conducted at Manatee Community College revealed that students who attended class 95 to 100% of the time usually received...
State which sampling method was used. a. Out of 14 banks in a city, a researcher selects one bank and records the number of savings deposits made in a one-day period. b. A researcher divides a group...
Read the following information about the number of fatal accidents for the transportation industry in a specific year, and answer each question. 1. Name the variables under study. 2. Categorize each...
Assume you are a member of a research team and have become increasingly concerned about drug use by professional sports players as one of several factors affecting peoples attitudes toward drug use...
Find the NPV of the project below if your company WACC = 10% and the project has comparable risk to your firm's average risk. The project requires an immediate investment of $50,000 and generates a...
Vapor or electronic cigarettes have increased dramatically over the past five years. Compared to traditional tobacco products a lot of research has not been performed on alternative smoking devices...
Seventy-seven percent of consumers dont think small businesses should stay open on holidays. What is meant by a biased sample? determine whether descriptive or inferential statistics were used.
Define statistics.
Construct an ogive for the frequency distribution.
Construct a histogram to represent the data shown for the record high temperatures for each of the 50 states Class boundaries Frequency 99.5-104.5 104.5-109.5 109.5-114.5 18 114.5-119.5 13 20 83 8...
A survey found that 16.8 days was the average number of vacation days that employees had taken during the year. What is meant by a biased sample? determine whether descriptive or inferential...
Sixty-six percent of Americans believe that their communities drinking water is at risk. What is meant by a biased sample? determine whether descriptive or inferential statistics were used.
During a recent year, the TSA found 3957 guns at airport security check points. What is meant by a biased sample? determine whether descriptive or inferential statistics were used.
Performance appraisals are used throughout business to provide feedback and growth opportunities to employees; this in turn leads to increased productivity. Leaders create performance appraisals for...
The number of stores a person visits on a shopping trip Name and define the four types of measurement levels used in statistics. determine whether the data are qualitative or quantitative.
Last year during the week of July 4th, Murrysville Regional Hospital reported that they treated 264 patients for fireworks-related injuries.
During a recent year, the average U.S. diners spent a month on food prepared outside the home was $$144$ . What is meant by a biased sample? determine whether descriptive or inferential statistics...
The number of toppings on pizzas sold at a local pizza restaurant Name and define the four types of measurement levels used in statistics. determine whether the data are qualitative or quantitative.
The times spent cleaning each office at a local office building Name and define the four types of measurement levels used in statistics. determine whether the data are qualitative or quantitative.
The number of physical workouts during the month that an executive completes Ratings of teachers determine whether the data are discrete or continuous.
The amount of water, in ounces, an adult consumes during a 24-hour period Ratings of teachers determine whether the data are discrete or continuous.
Number of degrees awarded by a college each year for the last 10 years Name and define the four types of measurement levels used in statistics. determine whether the data are qualitative or...
Question 3 (4 marks) Students at the school who are studying mathematics in Years 7 to 10 can receive one of three grades at the end of the year: distinction (D), credit (C) or pass (P). A regular...
Explain the difference between discrete and continuous variables.
The amount of bacteria in raw milk Ratings of teachers determine whether the data are discrete or continuous.
Consider the Profit/Loss problem presented in problem 3. a. Use Goal Seek to determine the access price per copy that the publisher must charge to break even with a demand of 3,500 copies. b....
How has technology brought about social change in your lives in comparison to your parents' and your grandparents' generation? how has technology brought about change in your grandparents'/parents'...
Professor Rao would like to accurately calculate the grades for the 58 students in their Operations Planning and Scheduling class (OM 455). Rao has thus far constructed a spreadsheet, part of which...
Californian Vinh Nguyen won the Powerball Jackpot and was the sole winner. The jackpot was $228,467,735. Nguyen had the option of taking a lump sum of $134 million or an annuity that paid 30 annual...
Over the Rhine Brewery (ORB) is conducting a cash flow analysis for the coming year. The first quarter of the calendar year is typically the slowest time for ORB. For each month of the first quarter...
Allegiant Airlines is considering an overbooking policy for one of its flights. The airplane has 50 seats, but Allegiant is considering accepting more reservations than seats because sometimes...
For online purchases, the location of the buyer and the location of the business (seller) determine if state sales tax must be collected at the time of the sale. The rule for collecting sales tax is...
Companies that compete globally must pay attention to exchange rates between currencies. The exchange rate between two currencies depends on a variety of factors including each countrys gross...
OuRx, a retail pharmacy chain, is faced with the decision of how much flu vaccine to order for the next flu season. OuRx has to place a single order for the flu vaccine several months before the...
As an ice-breaker on the first day of analytics class with 25 students in attendance, a professor announces that a free textbook will be awarded to any students who share a birthday (month and day,...
Pancheros sells a variety of Mexican-inspired cuisine for which tortillas are often a main ingredient. Assume that each customer places an order requiring one tortilla with a 75% probability...
Refer to the Jackpot soap scenario in Problem 24. After the sale of the original 1,000 bars of soap, Jackpot soap went viral, and the soap has become wildly popular. Production of the soap has been...
Which of the following statements about logistic regression is true? a. Logistic regression estimates the probability of an observation being in the yes class as a linear function of input variables....
In Section 11.3, the logistic regression equation to predict whether a movie wins the Best Picture Academy Award based on the total number of Oscar nominations was: For a cutoff value of p = 0.5,...
For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and 195 true positives. What is the classifiers specificity?
For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and 195 true positives. What is the classifiers sensitivity?
For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and 195 true positives. What is the classifiers accuracy?
Which of the following statements about the k-nearest neighbors classifier is true? a. The decision boundary corresponding to a k-nearest neighbor classifier is a linear function of the input...
An analyst for an insurance companys data science team is developing a model to predict whether a submitted claim is fraudulent. Generally, less than 10% of claims are fraudulent. The threshold value...
For 10,000 observations, suppose a classifier generates 235 false positives, 138 false negatives, 9,432 true negatives, and 195 true positives.What is the classifiers precision?
A sports betting company is testing the effectiveness of its online ads and has developed a classification model that predicts whether a potential customer will respond to its offer using information...
When the threshold value for binary classification increases, what happens? a. Sensitivity decreases and specificity increases. b. F1 score increases. c. Precision increases. d. Accuracy decreases.
A sports betting company is testing the effectiveness of its online ads and has developed a classification model predicts whether a potential customer will respond to its offer using information in...
Identify the role and function of the major components of the Canadian criminal justice system Demonstrate the manner in which the criminal justice system components relate and interact with each...
What happens if a classification tree is grown to its fullest extent? a. Each leaf node will be 100% pure (all Class 1 observations or all Class 0 observations) b. The best predictive performance on...
Which of the following statements about bagging is false? a. Bagging generates a composite prediction by weighting the votes of the individual classifiers by their individual accuracies. b. Bagging...
How are variables selected in tree-based learning? a. Variables are automatically selected by the tree logic as the best variable (and value to split it at) is identified at each step of the...
It is known that tree-based learning is unstable. What does this mean? a. Trees are poor predictive models. b. The predictive performance of the tree varies dramatically based on the training data...
Why are trees often used as individual classifiers in an ensemble approach? a. Trees are computationally easy to construct. b. Trees are easy to interpret. c. Trees have embedded feature selection....
Suppose each individual classifier in an ensemble has a 70% chance of predicting an observations class correctly and that the individual classifiers are perfectly independent of each other. What is...
Which of the following statements about boosting is false? a. Boosting works best when using logistic regression models as the individual classifiers. b. Boosting constructs a sequence of classifiers...
Which of the following statements about random forests is false? a. The predictive performance of a random forest is often competitive with a boosting ensemble, and it is computationally much...
Which of the following statements about the architecture of a neural network is false? a. The output layer of a neural network for a binary classification task produces an observations probability of...
For which classification method is a lasso regularization commonly used to select features? a. k-nearest neighbors b. Classification trees c. Logistic regression d. Random forest
In a filter method, which of the following is helpful to assess the relationship between a quantitative input variable and a categorical outcome variable? a. Test of independence b. ROC curve c....
Which function is a common choice for the output layer in a neural network for a classification task? a. Logistic function b. Identity function c. ReLu function d. Quadratic function
Fleur-de-Lis is a boutique bakery specializing in cupcakes. The bakers at Fleur-de-Lis like to experiment with different combinations of four major ingredients in its cupcakes and collect customer...
The dating web site Oollama.com requires its users to create profiles based on a survey in which they rate their interest (on a scale from 0 to 3) in five categories: physical fitness, music,...
A university is applying classification methods in order to identify alumni who may be interested in donating money. The university has a database of 58,205 alumni profiles containing numerous...
Sommelier4U is a company that ships its customers bottles of different types of wine and then has the customers rate the wines as Like or Dislike. For each customer, Sommelier4U trains a...
Watershed is a media services company that provides online streaming movie and television content. As a result of the competitive market of streaming service providers, Watershed is interested in...
Honey is a technology company that provides online coupons to its subscribers. Honeys analytics staff has developed a classification method to predict whether a customer who has been sent a coupon...
Over the past few years the percentage of students who leave Dana College at the end of their first year has increased. Last year, Dana started voluntary one-credit hour-long seminars with faculty to...
Refer to the scenario in Problem 30 regarding the identification of coupon promotion responders. Apply a neural network to classify observations as a promotion-responder or not by using Coupon as the...
Refer to the scenario in Problem 30 regarding the identification of coupon promotion responders. Apply a classification tree to classify observations as a promotion-responder or not by using Coupon...
Refer to the scenario in Problem 30 regarding the identification of coupon promotion responders. Apply k-nearest neighbors to classify observations as a promotion-responder or not by using Coupon as...
Salmons Stores operates a national chain of womens apparel stores. Five thousand copies of an expensive four-color sales catalog have been printed, and each catalog includes a coupon that provides a...
Refer to the scenario in Problem 38 regarding the identification of bank customers who enroll in paperless banking. Apply k-nearest neighbors to classify observations as enrolling or not by using...
Sandhills Bank would like to increase the number of customers who use paperless banking as part of the rollout of its e-banking platform. Management has proposed offering an increased interest rate...
Refer to the scenario in Problem 34 regarding the identification of students who drop out of school. Apply a neural network to classify observations as a drop-out or not by using Dropped as the...
Refer to the scenario in Problem 34 regarding the identification of students who drop out of school. Apply a classification tree to classify observations as a drop-out or not by using Dropped as the...
Refer to the scenario in Problem 34 regarding the identification of students who drop out of school. Apply k-nearest neighbors to classify observations as a drop-out or not by using Dropped as the...
Campaign organizers for both the Republican and Democratic parties are interested in identifying individual undecided voters who would consider voting for their party in an upcoming election. A...
Refer to the scenario in Problem 38 regarding the identification of bank customers who enroll in paperless banking. Apply a neural network to classify observations as a enroll or not by using Enroll...
Refer to the scenario in Problem 38 regarding the identification of bank customers who enroll in paperless banking. Apply a classification tree to classify observations as enroll or not by using...
Refer to the scenario in Problem 42 regarding the identification of undecided voters. Apply a classification tree to classify observations as undecided or not by using Vote as the target (or...
Refer to the scenario in Problem 42 regarding the identification of undecided voters. Apply k-nearest neighbors to classify observations as undecided or not by using Vote as the target (or response)...
Design a Turing Machine (TM) for the following language, give formal description of the TM and draw state diagram: {w|w is a string over the alphabet {0, 1} and number of 1's in w is divisible by 3}....
Refer to the scenario in Problem 42 regarding the identification of undecided voters. Apply a neural network to classify observations as undecided or not by using Vote as the target (or response)...
Refer to the scenario in Problem 42 regarding the identification of undecided voters. Apply a random forest to classify observations as undecided or not by using Vote as the target (or response)...
Telecommunications companies providing cell-phone service are interested in customer retention. In particular, identifying customers who are about to churn (cancel their service) is potentially worth...
Jimmy John Hunter owns a small farm outside Winona and was getting very frustrated with turkey vultures that pester his sleeping livestock to the point where his chickens are laying fewer eggs. A few...
Refer to the scenario in Problem 47 regarding the identification of churning cellphone customers. Apply a classification tree to classify observations as churning or not by using Churn as the target...
Refer to the scenario in Problem 47 regarding the identification of churning cellphone customers. Apply k-nearest neighbors to classify observations as churning or not by using Churn as the target...

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