Straightforward Statistics With Excel 2nd Edition Chieh-Chen Bowen - Solutions

Unlock the full potential of "Straightforward Statistics With Excel 2nd Edition" by Chieh-Chen Bowen with our comprehensive online resources. Dive into a world of knowledge with our answers key and solutions manual, available for free download. Access step-by-step answers and solved problems that cover all chapter solutions, ensuring you grasp every concept effortlessly. Whether you're seeking the instructor manual or a detailed test bank, our solutions PDF has got you covered. Enhance your understanding with our textbook solutions and questions and answers, all designed to guide you to success in statistics.

8. What are the statistic(s) and parameter(s) of interest in this study?
7. What kind of study is this (i.e., experimental, quasi-experimental, correlational)?
6. What type of measurement does each of these variables use (i.e., nominal, ordinal, interval, ratio)?
5. What are the independent and dependent variables in this study?
4. Do you think the results of this study will generalize to the population(s)? Why or why not?
3. What is/are the population(s) in this study?
2. What is/are the sample(s) in this study?
1. What kind of sampling method did the researcher use?
define the own
(b) The three schools may also differ in the socioeconomic status of the community they serve, the teacher-student ratio, or the level of experience and ability of the teaching staff.
20. (a) Problem 12: Because students were not randomly assigned to the instructional programs, it is difficult to conclude that a causal relationship exists between the instructional program and the phonological awareness of students.
(b) They agree, of course: Where H0 had been retained, the 95% confidence interval includes 0; where H0 had been rejected (m1 2m3), 0 falls outside the 95% confidence interval.
19. (a) m1 2m2: 25:368:19, or 213.49 to 12.89 m1 2m3: 28:968:19, or 217.09 to 2.71 m1 2m4: 22:268:19, or 210.39 to 15.99 m2 2m3: 23:668:19, or 211.79 to 14.59 m2 2m4: 3:168:19, or 25.09 to 111.29 m3 2m4: 6:768:19, or 21.49 to 114.89
) m3 .m1: Method 3 is superior to Method 1 for teaching metacognitive strategies to fifth graders.
(f) oˆ 2 5:15, or 15% of the variance in the response variable (number of metacognitive strategies invoked by the child) is explained by the independent variable, teaching method.
(e) HSD53:85 ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 45:23=10 p 58:19; only the difference between X1 and X3 (28.9) exceeds this value.
(c) Volunteer parents are more likely to provide academic assistance and encouragement to their children.
(b) With random assignment, it is much easier to clarify cause-and-effect relationships.
13. (a) Unlike Problems 6 and 11, here there is no random assignment within pairs.
(d) Conclude mD ,0 (i.e., mbrowser1 2mbrowser2 ,0): Finding the desired information on the Internet is faster when using browser 1.
(c) t5 4:86=1:815 2:69; t:05562:447; reject H0.
(b) D5 4:86; SSD 5136:86; sD 51:81
9. (a) H0: mD 50; H1: mD 6¼ 0
(b) 2.67 6 (2.571)(.95), or 1.23 to 15.11. With 95% confidence, you conclude that the \true" treatment effect is between .23 and 5.11 milliseconds in favor of the white-noise condition.
8. (a) Because H0: m1 2m2 50 was earlier rejected (a5:05, two-tailed), you know that a 95% confidence interval would not include zero.
(e) Such a low correlation (r12 5:04) will not appreciably reduce the standard error, thus negating the statistical advantage of forming matched pairs.
(d) The sample difference is insufficient to permit the conclusion that a real difference exists between the two training programs.
(c) t5 þ 12:00=3:915 þ 3:07; t:01563:499; retain H0.
(b) H0: m1 2m2 50; H1: m1 2m2 6¼ 0
6. (a) sX1 2 X2 5ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 76:86150:5722(:04)(8:77)(7:11)8 r53:91
(d) Conclude mD .0 (i.e., mmusic 2mwhite noise .0): Problem solving is faster with white noise than with background music.
(b) D5 12:67; SSD 527:33; sD 5:95(•c) t5 þ 2:67=:955 þ 2:81; t:05562:571; reject H0.
5. (a) H0: mD 50; H1: mD 6¼ 0
(e) There is insufficient evidence to conclude an effect from pretest to posttest.
(d) t5 þ 2=1:055 þ 1:90; t:05 5 þ 2:132; retain H0.
(c) sX1 2 X2 5ffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffiffi 7:519:522(:68)(2:74)(3:08)5 r51:05
6. (a) d5 1:29; the mean of sample 1 is 1.29 standard deviations below the mean of sample 2, which is a \large" effect by Cohen’s criteria. Because .40 of the area in a normal distribution falls between the mean and z51:29 (Table A), this effect size
(e) conclude m1 ,m2
(d) X1 2X2 5 3, t5 1:92, t:05 5 1:895, reject H0 in favor of H1
(c) 1.56
(b) 5.43
5. (a) SS1 58, SS2 530
(b) Compute the standard deviation of the sample differences obtained in Problem 3a.
3. (a) Select repeated pairs of random samples of size nA 55 and nB 55 from the two populations and compute the sample difference XA 2XB for each pair; group the sample differences into a frequency distribution and construct a frequency polygon.
(d) mA doesn’t equal mB; mA 2mB 6¼ 0
(c) mA equals mB; mA 2mB 50
(b) mA is less than mB; mA 2mB ,0
1. (a) mA is greater than mB; mA 2mB .0
13. College Board collects information about the total annual cost of tuition, room and board from small private universities, midsize private universities, and large private universities. The tuition, room, and board from different private universities are normally distributed and reported in
12. A team of psychologists compared college students’ ability to concentrate under different noise conditions: constant background noise, unpredictable noise, and no noise.Psychologists randomly selected 30 participants and randomly split them into three groups. The ability to concentrate was
11. Assume that the Insurance Institute for Highway Safety conducted crash safety tests on small SUVs, midsize SUVs, and large SUVs. Five SUVs in each type were randomly selected and their crash safety ratings were reported in Table 12.10. The ratings were normally distributed and reported on a
10. When conducting multiple post hoc comparisons without keeping FWER under control, 1. The FWER is larger than the individual pairwise comparison error rate.2. The FWER is smaller than the individual pairwise comparison error rate.3. The FWER is the same as the individual pairwise comparison
9. The dependent variable in an ANOVA needs to be 1. a nominal, ordinal, interval, or ratio variable.2. an ordinal, interval, or ratio variable.3. an interval or ratio variable.4. a ratio variable.
8. Which one of the following variances is largely attributable to random individual differences or unsystematic measurement errors?1. The total variance 2. The between-group variance 3. The within-group variance 4. The variance due to regression
7. Which one of the following variances is largely attributable to systematic group effects that are deliberately designed by the researchers?1. The total variance 2. The between-group variance 3. The within-group variance 4. The subject variance
6. What are the df for the total variance, dfT, in ANOVA?1. dfT = k, where k = number of groups 2. dfT = k − 1, where k = number of groups 3. dfT = n − k, where n = sample size and k = number of groups 4. dfT = n − 1, where n = sample size
5. What are the df for the within-group variance, dfW, in ANOVA?1. dfW = k, where k = number of groups 2. dfW = k − 1, where k = number of groups 3. dfW = n − k, where n = sample size and k = number of groups 4. dfW = n − 1, where n = sample size
4. What are the df for the between-group variance, dfB, in ANOVA?1. dfB = k, where k = number of groups 2. dfB = k − 1, where k = number of groups 3. dfB = n − k, where n = sample size and k = number of groups 4. dfB = n − 1, where n = sample size
3. When do you need to conduct post hoc comparisons to identify exactly where the difference comes from?1. After conducting an ANOVA for three or more groups 2. After conducting an ANOVA for two groups 3. After a significant ANOVA result for three or more groups 4. After a significant ANOVA result
2. The independent variable in an ANOVA needs to be 1. an interval variable 2. a ratio variable 3. an interval or ratio variable 4. a nominal or ordinal variable
1. Which one of the following statistical procedures is appropriate to compare means across three different groups?1. Independent-samples t tests 2. Dependent-samples t tests 3. ANOVA 4. Correlation
2. Many people lost their jobs during economic slowdown caused by the COVID-19 pandemic. An industrial and organizational psychologist studied the degree of psychological stress of job seekers. A sample of 63 job seekers is randomly selected. Their ages were classified into three levels: (1)
1. A beverage company compared customer preferences on the color of a sports drink: red, orange, and yellow. The company randomly selected 30 participants, then randomly assigned 10 participants to each group. The customers’ preferences were measured and reported in Table 12.8. The preferences
3. What was the degrees of freedom within-group variance (dfW)?1. 2 2. 3 3. 33 4. 35
2. What was the SSW based on the information provided here?1. 21.57 2. 35 3. 449.48 4. 1566.97
1. What was the SSB based on the information provided here?
4. Use α = .05 to evaluate if car weights predict fuel efficiency.Describe the purpose for the one-way analysis of variance (ANOVA)Describe the sources of variance as between-group versus within-group Calculate sum of squares total (SST), sum of squares between (SSB), and sum of squares within
3. What is the predicted fuel efficiency when a car weighs 4,500 pounds?
2. Identify the regression line using weight to predict fuel efficiency.
1. Construct a scatterplot of car weight and fuel efficiency to see if a linear relationship exists between these two variables.
8. What is the coefficient that describes the value changes in Y when X increases by one unit?1. Intercept 2. Slope 3. F value 4. Pearson’s r?
7. Which of the following statistics will always be positive?1. t tests 2. Z tests 3. Pearson correlations 4. F tests
6. What are the degrees of freedom when conducting an F test for a simple regression analysis?1. (1, n − 1)2. (1, n − 2)3. (2, n − 1)4. (2, n − 2)
5. The coefficient of determination measures the percentage of variance from the dependent variable Y that can be explained by the independent variable X, and is calculated by 1. r 2. r 23. b 4. b 2
2. All correlation coefficients fall within the range of −1 ≤ r ≤ 1. There is no range for the unstandardized regression coefficients.4. Which one of the following statements is correct?1. The correct range for the correlation coefficient is −1 ≤ r ≤ 1 2. The correct range for the
1. A correlation coefficient can be generated by any two interval or ratio variables without distinguishing between an independent variable and a dependent variable; because rXY = rYX, there is no need for such a distinction. Regression, on the other hand, requires explicitly identifying both the
4. The F value is the square root of the standard error of the estimate.
3. The F value is the square of the standard error of the estimate.
2. The larger the F value, the larger the standard error of the estimate.
1. The larger the F value, the smaller the standard error of the estimate.
3. Conduct a hypothesis test to verify if years of schooling help predict annual salaries.
2. Identify the best fitting line for years of schooling and annual salaries.
1. Construct a scatterplot to verify if a linear relationship exists between years of schooling and annual salaries.
Distinguish and explain the differences between Pearson’s correlation and the simple regression?
Describe the statistical assumptions for regression
Identify the four-step hypothesis test for a simple regression
Explain how to calculate the regression slope and Yintercept
Describe how the regression line is mathematically determined
2. Conduct a hypothesis test to see whether there was a significant relationship between ACT and SAT scores, using
1. Construct a scatterplot to visually inspect the data to see if there was a linear relationship between ACT and SAT scores.
9. A group of 10 incoming freshmen was randomly selected. Their ACT composite scores and SAT scores were reported in Table 10.8. Assume that ACT and SAT scores are normally distributed.
8. The coefficient of determination is defined as 1. the direction of Pearson’s r 2. the absolute value of Pearson’s r 3. the absolute value of Spearman’s rank correlation 4. the square of Pearson’s r
7. The partial correlation is calculated 1. to show association between an interval or ratio variable and a dichotomous variable 2. to show association between two dichotomous variables 3. to show association between two primary variables while keeping a third variable constant 4. to show
6. The Pearson’s r between age and reaction time is .784. What is the percentage of variance in reaction time that is overlapped with age?1. 78.4%2. 21.6%3. 4.6%4. 61.5%
5. What is the range of Pearson’s product moment correlation coefficient, r?1. −1 < r < 1 2. 0 < r < 1 3. −1 ≤ r ≤ 1 4. 0 ≤ r ≤ 1
4. How is the strength of Pearson’s product moment correlation coefficient, r, expressed?1. The calculated value of Pearson’s r 2. The absolute value of Pearson’s r 3. The square of Pearson’s r 4. The square root of Pearson’s r
3. What is the most likely direction of the relationship between time running on a treadmill and calories burned?1. Positive correlation 2. Negative correlation 3. No relationship 4. None of the above
2. Which of the following pairs of variables is most likely to be negatively correlated?1. Years on the job and salary 2. Educational attainment and income 3. Number of hours in the sun and severity of sunburn 4. Number of missed classes and exam grades
1. Which of the following pairs of variables is most likely to be positively correlated?1. Years after retirement and bank account amount 2. Age and running speed 3. Number of hours in the sun and severity of sunburn 4. Number of missed classes and exam grades
3. A newly designed 5-minute rapid COVID-19 test was given to a group of 12 volunteers who were also given a PCR test that was well-established with high accuracy. The results of these tests for the 12 volunteers on both the rapid test and the PCR test were reported in Table 10.7. Assume the scores

Showing 1800 - 1900 of 2391

First
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24

Straightforward Statistics With Excel 2nd Edition Chieh-Chen Bowen - Solutions

Step by Step Answers