Introductory Statistics (10th Edition)
10th Edition
ISBN: 9780321989178
Author: Neil A. Weiss
Publisher: PEARSON
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Textbook Question
Chapter 16.3, Problem 42E
In Exercises 16.42-16.47. wt provide data from independent simple random samples from several populations. In each case.
- a. compare SST, SSTR, and SSE by using the computing formulas given in Formula 16.1 on page 709.
- b. compare your results in part (a) for SSTR and SSE with those you obtained in Exercises 16.24-16.29. where you employed the defining formulas.
- c. construct a one-way ANOVA table.
- d. decide, at the 5% significance level, whether the data provide sufficient evidence to conclude that the means of the populations from which the samples were drawn are not all the same.
16.42
| Sample 1 | Sample 2 | Sample 3 |
| 1 | 10 | 4 |
| 9 | 4 | 16 |
| 8 | 10 | |
| 6 | ||
| 2 |
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The table below shows the prices (R) and quantities (kg) of rice, meat and potatoes items bought during 2013 and 2014:
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The table below indicates the number of years of experience of a sample of employees who work on a particular production line and the corresponding number of units of a good that each employee produced last month.
Years of Experience (x)
Number of Goods (y)
11
63
5
57
1
48
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54
45
3
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Q.1.1 By completing the table below and then applying the relevant formulae, determine the line of best fit for this bivariate data set.
Do NOT change the units for the variables.
X
y
X2
xy
Ex=
Ey=
EX2
EXY=
Q.1.2 Estimate the number of units of the good that would have been produced last month by an employee with 8 years of experience.
Q.1.3 Using your calculator, determine the coefficient of correlation for the data set.
Interpret your answer.
Q.1.4 Compute the coefficient of determination for the data set.
Interpret your answer.
Q.3.2 A sample of consumers was asked to name their favourite fruit. The results regarding the popularity of the different fruits are given in the following table.
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Chapter 16 Solutions
Introductory Statistics (10th Edition)
Ch. 16.1 - How do we identify an F-distribution and its...Ch. 16.1 - How many degrees of freedom does an F-curve have?...Ch. 16.1 - What symbol is used to denote the F-value having...Ch. 16.1 - Using the F-notation, identify the F-value having...Ch. 16.1 - An F-curve has df = (12, 7). What is the number of...Ch. 16.1 - An F-curve has df = (8, 19). What is the number of...Ch. 16.1 - In Exercises 16.716.10, use Table VIII in Appendix...Ch. 16.1 - Prob. 8ECh. 16.1 - Prob. 9ECh. 16.1 - Prob. 10E
Ch. 16.2 - One-way ANOVA is a procedure for comparing the...Ch. 16.2 - If we define s=MSE, of which parameter is s an...Ch. 16.2 - Explain the reason for the word variance in the...Ch. 16.2 - For a one-way ANOVA test, suppose that, in...Ch. 16.2 - Regarding one-way ANOVA, fill in the blanks in...Ch. 16.2 - Regarding one-way ANOVA, fill in the blanks in...Ch. 16.2 - Regarding one-way ANOVA, fill in the blanks in...Ch. 16.2 - Explain the logic behind one-way ANOVA.Ch. 16.2 - What does the term one-way signify in the phrase...Ch. 16.2 - Figure 16.6 shows side-by-side boxplots of...Ch. 16.2 - Figure 16.7 shows side-by-side boxplots of...Ch. 16.2 - Discuss two methods for checking the assumptions...Ch. 16.2 - In one-way ANOVA, what is the residual of an...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - In Exercises 16.24-16.29. we have provided data...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - Show that, for two populations, MSE=sp2, where is...Ch. 16.2 - Suppose that the variable under consideration is...Ch. 16.3 - Suppose that a one-way ANOVA is being performed to...Ch. 16.3 - We stated earlier that a one-way ANOVA test is...Ch. 16.3 - Following are the notations for the three sums of...Ch. 16.3 - State the one-way ANOVA identity, and interpret...Ch. 16.3 - True or false: If you know any two of the three...Ch. 16.3 - In each part, specify what type of analysis you...Ch. 16.3 - Prob. 38ECh. 16.3 - In Exercises 16.38-16.41, fill in the missing...Ch. 16.3 - In Exercises 16.38-16.41 fill in the missing...Ch. 16.3 - Prob. 41ECh. 16.3 - In Exercises 16.42-16.47. wt provide data from...Ch. 16.3 - In Exercises 16.42-16.47, we provide data from...Ch. 16.3 - Prob. 44ECh. 16.3 - Prob. 45ECh. 16.3 - Prob. 46ECh. 16.3 - Prob. 47ECh. 16.3 - Prob. 48ECh. 16.3 - Copepod Cuisine. Copepods are tiny crustaceans...Ch. 16.3 - In Exercises 16.48-16.53, apply Procedure 16.1 on...Ch. 16.3 - Staph Infections. In the article Using EDE, ANOVA...Ch. 16.3 - Prob. 52ECh. 16.3 - Prob. 53ECh. 16.3 - Prob. 54ECh. 16.3 - Prob. 55ECh. 16.3 - In Exercises 16.54-16.59, use the technology of...Ch. 16.3 - Prob. 57ECh. 16.3 - In Exercises 16.54-16.59, use. the technology of...Ch. 16.3 - Prob. 59ECh. 16.3 - Prob. 60ECh. 16.3 - Prob. 61ECh. 16.3 - In Exercises 16.60-16.63, refer to the discussion...Ch. 16.3 - Starting Salaries. The National Association of...Ch. 16.3 - Working with Large Data Sets In Exercises...Ch. 16.3 - Working with Large Data Sets In Exercises...Ch. 16.3 - In Exercises 16.64-16.72, use the technology of...Ch. 16.3 - In Exercises 16.6416.72, use the technology of...Ch. 16.3 - In Exercises 16.64-16.72, use the technology of...Ch. 16.3 - In Exercises 16.64-16.72, use the technology of...Ch. 16.3 - Prob. 70ECh. 16.3 - Prob. 71ECh. 16.3 - Prob. 72ECh. 16.3 - Prob. 73ECh. 16.3 - Prob. 74ECh. 16.3 - Prob. 75ECh. 16.4 - What is the purpose of doing a multiple...Ch. 16.4 - Fill in the blank: If a confidence interval for...Ch. 16.4 - Explain the difference between the family...Ch. 16.4 - Regarding family and individual confidence levels,...Ch. 16.4 - What is the name of the distribution on which the...Ch. 16.4 - The parameter v for the q-curve in a Tukey...Ch. 16.4 - Explain the essential difference between obtaining...Ch. 16.4 - Determine the following for a q-curve with...Ch. 16.4 - Determine the following for a q-curve with...Ch. 16.4 - Find the following for a q-curve with parameters K...Ch. 16.4 - Find the following for a q-curve with parameters K...Ch. 16.4 - Suppose that you conduct a one-way ANOVA test and...Ch. 16.4 - In Exercises 16.88-16.93, we repeal the data from...Ch. 16.4 - In Exercises 16.88-16.93, we repeat the data from...Ch. 16.4 - In Exercises 16.88-16.93, we repeat the data from...Ch. 16.4 - In Exercises 16.88-16.93, we repeat the data from...Ch. 16.4 - In Exercises 16.88-16.93, we repeat the data from...Ch. 16.4 - Prob. 93ECh. 16.4 - Prob. 94ECh. 16.4 - In Exercises 16.94-16.99, use Procedure 16.2 on...Ch. 16.4 - In Exercises 16.94-16.99, use Procedure 16.2 on...Ch. 16.4 - In Exercises 16.94-16.99, use Procedure 16.2 on...Ch. 16.4 - Prob. 98ECh. 16.4 - Prob. 99ECh. 16.4 - Prob. 100ECh. 16.4 - Prob. 101ECh. 16.4 - In Exercises 16.100-16.105, use the technology of...Ch. 16.4 - Prob. 103ECh. 16.4 - Prob. 104ECh. 16.4 - Prob. 105ECh. 16.4 - In Exercises 16.106-16.109, use Procedure 10.2 on...Ch. 16.4 - Prob. 107ECh. 16.4 - Prob. 108ECh. 16.4 - Prob. 109ECh. 16.4 - Prob. 110ECh. 16.4 - In Exercises 16.110-16.118, we repeat information...Ch. 16.4 - Prob. 112ECh. 16.4 - Prob. 113ECh. 16.4 - Prob. 114ECh. 16.4 - In Exercises 16.110-16.118, we repeat information...Ch. 16.4 - Prob. 116ECh. 16.4 - Prob. 117ECh. 16.4 - In Exercises 16.110-16.16.118, we repeat...Ch. 16.4 - Explain why the family confidence level, not the...Ch. 16.4 - Prob. 120ECh. 16.4 - Energy Consumption. Apply Table 16.11 on page 723...Ch. 16.5 - Prob. 122ECh. 16.5 - Prob. 123ECh. 16.5 - Prob. 124ECh. 16.5 - Prob. 125ECh. 16.5 - Prob. 126ECh. 16.5 - The measure of total variation of all the ranks is...Ch. 16.5 - Regarding a Kruskal-Wallis test, fill in the...Ch. 16.5 - Prob. 129ECh. 16.5 - Prob. 130ECh. 16.5 - In each of Exercises 16.130-16.133, suppose that...Ch. 16.5 - Prob. 132ECh. 16.5 - Prob. 133ECh. 16.5 - Prob. 134ECh. 16.5 - Prob. 135ECh. 16.5 - Prob. 136ECh. 16.5 - Prob. 137ECh. 16.5 - Prob. 138ECh. 16.5 - Prob. 139ECh. 16.5 - Prob. 140ECh. 16.5 - Prob. 141ECh. 16.5 - Prob. 142ECh. 16.5 - Prob. 143ECh. 16.5 - Prob. 144ECh. 16.5 - In Exercises 16.144-16.149, perform a...Ch. 16.5 - In Exercises 16.144-16.149, perform a...Ch. 16.5 - In Exercises 16.144-16.149, perform a...Ch. 16.5 - Prob. 148ECh. 16.5 - Prob. 149ECh. 16.5 - Prob. 150ECh. 16.5 - Prob. 151ECh. 16.5 - Prob. 152ECh. 16.5 - Prob. 153ECh. 16.5 - Prob. 154ECh. 16.5 - Prob. 155ECh. 16.5 - Prob. 156ECh. 16.5 - Prob. 157ECh. 16.5 - Prob. 158ECh. 16.5 - Prob. 159ECh. 16.5 - Prob. 160ECh. 16.5 - Prob. 161ECh. 16.5 - Prob. 162ECh. 16.5 - Prob. 163ECh. 16.5 - Prob. 164ECh. 16.5 - Prob. 165ECh. 16.5 - Prob. 166ECh. 16.5 - Prob. 167ECh. 16 - For what is one-way ANOVA used?Ch. 16 - State the four assumptions for one-way ANOVA, and...Ch. 16 - On what distribution does one-way ANOVA rely?Ch. 16 - Suppose that you want to compare the means of...Ch. 16 - Prob. 5RPCh. 16 - In one-way ANOVA, a. list and interpret the three...Ch. 16 - Prob. 7RPCh. 16 - Prob. 8RPCh. 16 - Prob. 9RPCh. 16 - Prob. 10RPCh. 16 - Prob. 11RPCh. 16 - Suppose that you want to compare the means of...Ch. 16 - Prob. 13RPCh. 16 - Prob. 14RPCh. 16 - Prob. 15RPCh. 16 - Prob. 16RPCh. 16 - In Problems 17-21, consider an F-curve with df =...Ch. 16 - Prob. 18RPCh. 16 - Prob. 19RPCh. 16 - Prob. 20RPCh. 16 - Prob. 21RPCh. 16 - Consider a q -curve with parameters 3 and 14. a....Ch. 16 - Consider the following hypothetical samples. A B C...Ch. 16 - Losses to Robbery. The Federal Bureau of...Ch. 16 - Prob. 25RPCh. 16 - Prob. 26RPCh. 16 - Prob. 27RPCh. 16 - Losses to Robbery. Refer to Problem 24. a. At the...Ch. 16 - Foot-pressure Angle. Genu valgum, commonly known...Ch. 16 - Prob. 30RPCh. 16 - Prob. 31RPCh. 16 - Prob. 32RPCh. 16 - In Problems 3234, use the technology of your...Ch. 16 - Prob. 34RPCh. 16 - Prob. 35RPCh. 16 - In Problems 3537, refer to the specified problem...Ch. 16 - Prob. 37RPCh. 16 - Recall from Chapter 1 (see page 34) that the Focus...Ch. 16 - SELF-PERCEPTION AND PHYSICAL ACTIVITY As you...
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