Practical Data Analysis With JMP 1st Edition Robert Carver - Solutions

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Following are boxplots comparing the charge (in coulombs per mole [C/mol] × 10−25) at pH 4.0 and pH 4.5 for a collection of proteins (from the article“Optimal Synthesis of Protein Purification Processes,”E. Vasquez-Alvarez,M. Leinqueo, and J. Pinto,Biotechnology Progress, 2001:685–695).
Was the number of absences the next day an outlier?
The following table presents the number of students absent in a middle school in northwestern Montana for each school day in January 2008.Number Number Number Date Absent Date Absent Date Absent Jan. 2 65 Jan. 14 59 Jan. 23 42 Jan. 3 67 Jan. 15 49 Jan. 24 45 Jan. 4 71 Jan. 16 42 Jan. 25 46 Jan. 7
Which of the following statistics cannot be determined from a boxplot?i. The median ii. The mean iii. The first quartile iv. The third quartile v. The interquartile range
An engineer wants to draw a boxplot for the following sample:37 82 20 25 31 10 41 44 4 36 68 Which of these values, if any, will be labeled as outliers?
The histogram below presents the compressive strengths of a sample of concrete blocks hardened for 28 days. One rectangle from the histogram is missing.What is its height? Relative frequency 0.3 0.25 0.2 0.15 0.1 0.05 0 17 18 19 20 21 22 23 24 Compressive strength (mPa)
The figure below is a histogram showing the distribution of serum cholesterol level for a sample of men.Use the histogram to answer the following questions:a. Is the percentage of men with cholesterol levels above 240 mg/dL closest to 30%, 50%, or 70%?b. In which interval are there more men:
Sketch a histogram for whicha. The mean is greater than the median.b. The mean is less than the median.c. The mean is approximately equal to the median.
A certain reaction was run several times using each of two catalysts, A and B. The catalysts were supposed to control the yield of an undesirable side product. Results, in units of percentage yield, for 24 runs of catalyst A and 20 runs of catalyst B are as follows:Catalyst A 4.4 3.4 2.6 3.8 4.9
Following are measurements of soil concentrations(in mg/kg) of chromium (Cr) and nickel (Ni) at 20 sites in the area of Cleveland, Ohio. These data are taken from the article “Variation in North American Regulatory Guidance for Heavy Metal Surface Soil Contamination at Commercial and Industrial
Refer to Table 1.2 (page 18). Construct a stem-andleaf plot with the ones digit as the stem (for values greater than or equal to 10, the stem will have two digits) and the tenths digit as the leaf. How many stems are there (be sure to include leafless stems)? What are some advantages and
Forty-five specimens of a certain type of powder were analyzed for sulfur trioxide content. Following are the results, in percent. The list has been sorted into numerical order.14.1 14.4 14.7 14.8 15.3 15.6 16.1 16.6 17.3 14.2 14.4 14.7 14.9 15.3 15.7 16.2 17.2 17.3 14.3 14.4 14.8 15.0 15.4 15.7
The weather in Los Angeles is dry most of the time, but it can be quite rainy in the winter. The rainiest month of the year is February. The following table presents the annual rainfall in Los Angeles, in inches, for each February during a recent 42-year period.a. Construct a stem-and-leaf plot for
In each of the following data sets, tell whether the outlier seems certain to be due to an error, or whether it could conceivably be correct.a. The length of a rod is measured five times.The readings in centimeters are 48.5, 47.2, 4.91, 49.5, 46.3.b. The prices of five cars on a dealer’s lot
Quartiles divide a sample into four nearly equal pieces. In general, a sample of size n can be broken into k nearly equal pieces by using the cutpoints(i∕k)(n+1) for i = 1,… , k−1. Consider the following ordered sample:2 18 23 41 44 46 49 61 62 74 76 79 82 89 92 95a. Tertiles divide a sample
There are 10 employees in a particular division of a company. Their salaries have a mean of$70,000, a median of $55,000, and a standard deviation of $60,000. The largest number on the list is $100,000. By accident, this number is changed to $1,000,000.a. What is the value of the mean after the
Refer to Exercise 12.a. If the measurements for one of the methods were converted to inches (1 inch = 2.54 cm), how would this affect the mean? The median? The quartiles?The standard deviation?b. If the students remeasured the ball, using a ruler marked in inches, would the effects on the mean,
Each of 16 students measured the circumference of a tennis ball by four different methods, which were:Method A: Estimate the circumference by eye.Method B: Measure the diameter with a ruler, and then compute the circumference.Method C: Measure the circumference with a ruler and string.Method D:
In a sample of 20 men, the mean height was 178 cm.In a sample of 30 women, the mean height was 164 cm.What was the mean height for both groups put together?
A sample of 100 cars driving on a freeway during a morning commute was drawn, and the number of occupants in each car was recorded. The results were as follows:Occupants 1 2 3 45 Number of Cars 70 15 10 3 2a. Find the sample mean number of occupants.b. Find the sample standard deviation of the
Is it possible for the standard deviation of a list of numbers to equal 0? If so, give an example. If not, explain why not.
For a list of positive numbers, is it possible for the standard deviation to be greater than the mean? If so, give an example. If not, explain why not.
Find a sample size for which the median will always equal one of the values in the sample.
Is the sample median always equal to one of the values in the sample? If so, explain why. If not, give an example.
Is the sample mean always equal to one of the values in the sample? If so, explain why. If not, give an example.
Refer to Exercise 1. The vendor begins using heavier packaging, which increases the weight of each package by 50 g.a. How does this affect the mean weight of the packages?b. How does this affect the standard deviation of the weights?
A vendor converts the weights on the packages she sends out from pounds to kilograms (1 kg ≈ 2.2 lb).a. How does this affect the mean weight of the packages?b. How does this affect the standard deviation of the weights?
If n numbers are ordered from smallest to largest:■ If n is odd, the sample median is the number in position n + 1 2 .■ If n is even, the sample median is the average of the numbers in positions n 2and n 2 + 1.
A medical researcher wants to determine whether exercising can lower blood pressure. She recruits 100 people with high blood pressure to participate in the study.She assigns a random sample of 50 of them to pursue an exercise program that includes daily swimming and jogging. She assigns the other
A medical researcher wants to determine whether exercising can lower blood pressure. At a health fair, he measures the blood pressure of 100 individuals, and interviews them about their exercise habits. He divides the individuals into two categories: those whose typical level of exercise is low,
To determine whether a sample should be treated as a simple random sample, which is more important: a good knowledge of statistics, or a good knowledge of the process that produced the data?
Refer to Exercise 5. True or false:a. If the proportion of defectives in the sample is less than 12%, it is reasonable to conclude that the new process is better.b. If the proportion of defectives in the sample is only slightly less than 12%, the difference could well be due entirely to sampling
A certain process for manufacturing integrated circuits has been in use for a period of time, and it is known that 12% of the circuits it produces are defective. A new process that is supposed to reduce the proportion of defectives is being tested. In a simple random sample of 100 circuits produced
A sample of 100 college students is selected from all students registered at a certain college, and it turns out that 38 of them participate in intramural sports.True or false:a. The proportion of students at this college who participate in intramural sports is 0.38.b. The proportion of students at
True or false:a. A simple random sample is guaranteed to reflect exactly the population from which it was drawn.b. A simple random sample is free from any systematic tendency to differ from the population from which it was drawn.
If you wanted to estimate the mean height of all the students at a university, which one of the following sampling strategies would be best? Why? Note that none of the methods are true simple random samples.i. Measure the heights of 50 students found in the gym during basketball intramurals.ii.
Each of the following processes involves sampling from a population. Define the population, and state whether it is tangible or conceptual.a. A chemical process is run 15 times, and the yield is measured each time.b. A pollster samples 1000 registered voters in a certain state and asks them which
Scenario: The data table called Earthquakes contains earthquake measurements across the entire globe for one month of 2009. Although this refers to a natural process of geologic activity, we can use control charts to look for changes in earthquake activity. The key variable is Magnitude, which
Scenario: Let’s look again at some airline delays data from Chicago. This time, we’ll consider a single week during March 2009, and focus on departure delays for United Airlines flights. There were more than 1,500 scheduled departures during the week. Fifty-eight were cancelled and have been
Scenario: The World Bank and other international organizations monitor many forms of technological development around the world. Elsewhere we’ve looked at other Millenium Development Indicators. In this exercise, we’ll study carbon dioxide emissions between 1990 and 2004. The relevant data
Scenario: In the United States, the management of solid waste is a substantial challenge. Landfills have closed in many parts of the nation, and efforts have been made to reduce waste, increase recycling, and otherwise control the burgeoning stream of waste materials. Our data table Maine SW
Scenario: Let’s continue our analysis of the Pipeline Safety data. Before performing any further analysis, we first need to sort the data chronologically.Select Tables  Sort. Select the columns IDATE and IHOUR and click OK. This opens a new data table with the rows in the proper sequence.a.
Scenario: Let’s return to our analysis of the Indian Index of Industrial Production and look more closely at some of the sub-indexes for specific types of products. For this exercise, we’ll treat each three-month quarter as a sample and therefore specify a sample size of 3 observations.a.
Scenario: Let’s return to the airline data in Airline delays 2. In this exercise, we’ll focus on flight cancellations.a. Create a P chart for the PctCanc column (percent cancelled flights) and report on what you see.b. Create an NP chart using the columns NumCancelled and TotFlight and report
Scenario: Let’s continue our analysis of the tubing diameter data (Diameter data table). As before we’ll use sample sizes of 6, corresponding to the six daily measurements.a. In Phase 1, we concluded that the process was not in control. Restrict your attention to Phase 1 data once more, and
Scenario: A Harvard Business Review article described an e-mail survey conducted by Crayola.com that illustrates DOE in marketing. (Almquist & Wyner 2001). The response variable was simply whether the e-mail recipient completed the survey questionnaire. During a two-week period surveys were
Scenario: Manufacturers frequently test materials and products to determine how long they will stand up to repeated use or to field conditions. This exercise is inspired by an article (Fernandes-Hachic & Agopyan 2008) describing the use of a material called unplasticized polyvinyl chloride (uPVC),
Scenario: Social scientists, opinion pollsters, and others engaging is survey research are often concerned with low response rates in household surveys. Some survey researchers offer incentives to encourage responses, and some have investigated the effectiveness of different types of incentives. A
Scenario: There is a growing body of evidence to suggest that sleep plays an important role in the learning process. Some neuroscientists think that our brains consolidate newly acquired learning during the sleep process, so that interrupted or insufficient sleep can actually prevent us from
Scenario: We’ll continue our work on a customer loyalty program experiment. We typically apply the response surface methodology after we have identified relevant factors. In this problem, we’ll assume we’re still working at the screening stage of the experiment. Use the DOE  Screening
Scenario: We’ll continue our work on concrete compressive strength.a. Return to our initial full factorial design and add a fourth categorical factor representing the type of stone used as a coarse aggregate. Set the initial values as Granite or Marble. Leave all other settings as they were
Scenario: Our data table called Stock Index Weekly contains weekly broad market indexes and trading volumes for six major stock markets around the world.Specifically, we have observations for every week of 2008, a year in which financial markets across the globe shuddered as a consequence of
Scenario: Our data table called MCD contains daily share prices for McDonald’s common stock for the first six months of 2009. The Daily Close column is the price of one share of stock on any given day.a. Create a time series plot of the Daily Close column. Looking at this series, which time
Scenario: The World Bank and other international organizations monitor many forms of technological development around the world. Elsewhere we’ve looked at other Millenium Development Indicators. In this exercise, we’ll study carbon dioxide emissions between 1990 and 2004. The relevant data
Scenario: In the United States, the management of solid waste is a substantial challenge. Landfills have closed in many parts of the nation, and efforts have been made to reduce waste, increase recycling, and otherwise control the burgeoning stream of waste materials. Our data table Maine SW
Scenario: In prior chapters we examined cross-sectional data about fertility and birth rates in 2005. In this exercise, we’ll look at fertility time series for several countries. The time series are all in the data table Fertility; unlike the other examples in the chapter, these figures are
Scenario: The United Nations and other international organizations monitor many forms of technological development around the world. In Chapter 16 we estimated the annual growth of mobile phone subscriptions in Thailand. Let’s apply some of our newer techniques to the data in the Cell Subscribers
Scenario: Our India Industrial Production data table also contains several other indexes, including one for the production of Consumer Durable goods. Durables are long-term purchases made by households, including items such as appliances and automobiles.a. Use several of the techniques presented in
Scenario: Let’s continue our analysis of the Indian Index of Industrial Production.a. We used Winters’ method with an assumed season of three months. Reestimate using this approach with a six-month “season” (that is, two different seasons per year). Compare the performance of this model to
Scenario: The United Nations and other international organizations monitor many forms of technological development around the world. Earlier in the chapter we examined the growth of mobile phone subscriptions in Thailand. Let’s look at a single year, and examine the relationships between adoption
Scenario: From time to time a historian discovers an unsigned manuscript, musical composition, or work of art. Scholars in these fields have various methods to infer the creator of such an unattributed work, and sometimes turn to statistical methods for assistance. Let’s consider a hypothetical
Scenario: Earlier in the chapter we estimated a logistic model using the Parkinson’s disease (PD) data. The researchers reported on the development of a new composite measure of phonation, which they called PPE.a. Run a logistic regression using PPE as the only regressor, and Status as the
Scenario: The United Nations and other international organizations monitor many forms of technological development around the world. Earlier in the chapter we examined the growth of mobile phone subscriptions in Thailand. Let’s repeat the same analysis for two other countries using the Cell
Scenario: We’ll continue to examine the World Development Indicators data in BirthRate 2005. Throughout the exercise, we’ll use BirthRate at the Y variable.We’ll broaden our analysis to work with other variables in that file:a. Earlier we estimated a quadratic model with maternal mortality as
Scenario: High blood pressure continues to be a leading health problem in the United States. In this problem, continue to use the NHANES SRS table. For this analysis, we’ll focus on just the following variables, and focus on respondents between the ages of 12 and 19.a. Perform a regression
Scenario: Return to the NHANES SRS data table. Exclude and hide respondents under age 18.a. Perform a regression analysis for adult respondents with BMI as Y, and use waist circumference and gender as the independent variables. Discuss the ways in which this model is or is not an improvement over a
Scenario: In the United States, the management of solid waste is a substantial challenge. Landfills have closed in many parts of the nation, and efforts have been made to reduce waste, increase recycling, and otherwise control the burgeoning stream of waste materials. Our data table Maine SW
Scenario: Industrial production refers to the manufacture of goods within a country, and is measured in this scenario by India’s Index of Industrial Production(IIP). The IIP is a figure that compares a weighted average of industrial output from different sectors of the economy (for example,
Scenario: Throughout the animal kingdom, animals require sleep and there is extensive variation in the number of hours in the days that different animals sleep.The data table called Sleeping Animals contains information for more than 60 mammalian species, including the average number of hours per
Scenario: We’ll continue to examine the World Development Indicators data in BirthRate 2005. Throughout the exercise, we’ll use BirthRate as the Y variable.We’ll broaden our analysis to work with other variables in that file: MortUnder5: deaths, children under 5 years per 1,000 live
Scenario: High blood pressure continues to be a leading health problem in the United States. In this problem, continue to use the NHANES SRS table. For this analysis, we’ll focus on females between the ages of 12 and 19.a. Create a 3-D scatterplot of systolic blood pressure (the “top” number
Scenario: Return to the NHANES SRS data table. Select, include, and show only female respondents ages 18 and older.a. Perform a regression analysis for adult women with BMI as Y and use waist circumference and height as the independent variables. Discuss the ways in which this model is or is not an
Scenario: Prof. Frank Anscombe of Yale University created an artificial data set to illustrate the hazards of applying linear regression analysis without looking at a scatterplot (Anscombe 1973). His work has been very influential, and JMP includes his illustration among the sample data tables
Scenario: In Chapter 2 our first illustration of experimental data involved a study of the compressive strength of concrete. In this scenario, we look at a set of observations all taken at 28 days (4 weeks) after the concrete was initially formulated; the data table is called Concrete 28. The
Scenario: For many years, it has been understood that tobacco use leads to health problems related to the heart and lungs. The Tobacco Use data table contains recent data about the prevalence of tobacco use and of certain diseases around the world.a. Using Cancer Mortality (CancerMort) as the
Scenario: Throughout the animal kingdom, animals require sleep, and there is extensive variation in the number of hours in the day that different animals sleep.The data table called Sleeping Animals contains information for more than 60 mammalian species, including the average number of hours per
Scenario: Franz Joseph Haydn was a successful and well-established composer when the young Mozart burst upon the cultural scene. Haydn wrote more than twice as many piano sonatas as Mozart. Use the data table Haydn to perform a parallel analysis to the one we did for Mozart.a. Evaluate the
Scenario: Stock market analysts are always on the lookout for profitable opportunities and for signs of weakness in publicly traded stocks. Market analysts make extensive use of regression models in their work, and one of the simplest ones is known as the Random, or Drunkard’s, Walk model. Simply
Scenario: How do the prices of used cars vary according to the mileage of the cars? Our data table Used Cars contains observational data about the listed prices of three popular compact car models in three different metropolitan areas in the U.S. All of the cars are two years old.a. Create a
Scenario: We’ll continue to examine the World Development Indicators data in BirthRate 2005. We’ll broaden our analysis to work with other variables in that file: MortUnder5: deaths, children under 5 years per 1,000 live births MortInfant: deaths, infants per 1,000 live birthsa. Create a
Scenario: High blood pressure continues to be a leading health problem in the United States. In this problem, continue to use the NHANES SRS table. For this analysis, we’ll focus on just the following variables: RIAGENDR: respondent’s gender RIDAGEYR: respondent’s age in years BMXWT:
Scenario: Return to the NHANES SRS data table.a. Exclude and hide respondents under age 18 and all males, leaving only adult females. Perform a regression analysis for BMI and waist circumference for adult women, evaluate the OLS conditions for inference, and report your findings and conclusions.b.
Scenario: Prof. Frank Anscombe of Yale University created an artificial data set to illustrate the hazards of applying linear regression analysis without looking at a scatterplot (Anscombe 1973). His work has been very influential, and JMP includes his illustration among the sample data tables
Scenario: In Chapter 2, our first illustration of experimental data involved a study of the compressive strength of concrete. In this scenario, we look at a set of observations all taken at 28 days (4 weeks) after the concrete was initially formulated. The response variable is the Compressive
Scenario: For many years, it has been understood that tobacco use leads to health problems related to the heart and lungs. The Tobacco Use data table contains recent data about the prevalence of tobacco use and of certain diseases around the world.a. Using cancer mortality (CancerMort) as the
Scenario: Throughout the animal kingdom, animals require sleep and there is extensive variation in the number of hours in a day that different animals sleep.The data table called Sleeping Animals contains information for more than 60 mammalian species, including the average number of hours per day
Scenario: Franz Joseph Haydn was a successful and well-established composer when the young Mozart burst upon the cultural scene. Haydn wrote more than twice as many piano sonatas as Mozart. Use the data table Haydn to perform a parallel analysis to the one we did for Mozart.a. Report fully on your
Scenario: Stock market analysts are always on the lookout for profitable opportunities and for signs of weakness in publicly traded stocks. Market analysts make extensive use of regression models in their work, and one of the simplest ones is known as the random (or drunkard’s) walk model. Simply
Scenario: How do the prices of used cars vary according to the mileage of the cars? Our data table Used Cars contains observational data about the listed prices of three popular compact car models in three different metropolitan areas in the U.S. All of the cars are two years old.a. Create a
Scenario: We’ll continue to examine the World Development Indicators data in BirthRate 2005. We’ll broaden our analysis to work with other variables in that file: MortUnder5: deaths, children under 5 years per 1,000 live births MortInfant: deaths, infants per 1,000 live birthsa. Create a
Scenario: High blood pressure continues to be a leading health problem in the United States. In this problem, continue to use the NHANES SRS data table. For this analysis, we’ll focus on just the following variables: RIAGENDR: respondent’s gender RIDAGEYR: respondent’s age in years
Scenario: Return to the NHANES SRS data table.a. Exclude and hide respondents under age 18 and all males, leaving only adult females. Perform a regression analysis for BMI and waist circumference for adult women, and report your findings and conclusions.b. Is waist measurement a better predictor
Scenario: A company manufactures catheters, blood transfusion tubes, and other tubing for medical applications. In this particular instance, we have diameter measurements from a newly designed process to produce tubing that is designed to be 4.4 millimeters in diameter. These measurements are
Scenario: In this scenario, we return to the Pipeline Safety data table to examine the consequences of pipeline disruptions.a. Perform a one-way ANOVA to see how the dollar amount of property damage caused by a disruption varies by Region. If you find differences, perform an appropriate multiple
Scenario: Does a person’s employment situation influence the amount that he or she sleeps? Our TimeUse data table can provide a foundation for analysis of this question.a. Perform a one-way ANOVA to see how hours of sleep vary by employment status. If you find differences, perform an appropriate
Scenario: How do prices of used cars differ, if at all, in different areas of the United States? Our data table Used Cars contains observational data about the listed prices of three popular compact car models in three different metropolitan areas in the U.S. The cities are Phoenix, AZ; Portland,
Scenario: A company that manufactures insulating materials wants to evaluate the effectiveness of three different additives to a particular material. The company performs an industrial experiment to evaluate the additives. For the sake of this example, these additives are called Regular, Extra, and
Scenario: We’ll continue to examine the World Development Indicators data in the data table BirthRate 2005. We’ll broaden our analysis to work with other columns in that table: Region: country’s geographic region Fertil: number of births per woman  Mortmaternal: Maternal mortality,
Scenario: For these questions we return to the TimeUse data table. Use the data filter to confine the analysis to the responses from 2007.a. Are employment status and gender independent? Explain.b. Are employment status and region independent? Explain.c. Are employment status and marital status
Scenario: Let us once again look at the Sleeping Animals data table.a. Are mammal species equally likely to be classified across the five categories of the exposure index?b. Are all mammal species equally likely to be classified across the five categories of the predation index?c. Are the variables

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Practical Data Analysis With JMP 1st Edition Robert Carver - Solutions

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