Student's Solutions Manual For Statistics For Business And Economics
13th Edition
ISBN: 9780134513034
Author: Boudreau, Nancy
Publisher: PEARSON
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Chapter 15.7, Problem 15.73ACB
a.
To determine
To interpret: The value of
b.
To determine
To Interpret: The p-values.
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A researcher assesses work ethic among college students using a self-report questionnaire. Moreover, the researcher tracks how many hours students seek out extra support at the tutoring center and with their professors on campus during the semester. The researcher determines that there is a significant positive relationship between self-reported work ethic and the number of hours students seek out extra support at the tutoring center and with their professors during the semester. This demonstrates how correlations can be used to demonstrate _____.
A fast-food chain decided to carry out an experiment to assess the influence of advertising expenditure on sales. Different relative changes in advertising expenditure, compared to the previous year, were made in eight regions of the country, and resulting changes in sales levels were observed the accompanying table shows the results.
Increase in advertising expenditure (%)
0
5
15
20
25
30
35
40
Increase in sales (%)
5
10
18
25
35
50
60
65
Determine and interpret the coefficient of correlation between the two variables.
wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of
α=0.05.
Correlation Results
Correlation coeff, r:
0.978552
Critical r:
±0.2680855
P-value (two tailed):
0.000
Chapter 15 Solutions
Student's Solutions Manual For Statistics For Business And Economics
Ch. 15.2 - Under what circumstances is the sign test...Ch. 15.2 - What is the probability that a randomly selected...Ch. 15.2 - Use Table I of Appendix D to calculate the...Ch. 15.2 - Consider the following sample of 10 measurements....Ch. 15.2 - Suppose you wish to conduct a test of the research...Ch. 15.2 - Accidents at construction sites. Refer to the...Ch. 15.2 - Salaries of experienced MBA graduates. According...Ch. 15.2 - Caffeine in Starbucks coffee. Researchers at the...Ch. 15.2 - Short-sale stock returns. The Securities and...Ch. 15.2 - Lobster trap placement. Refer to the Bulletin of...
Ch. 15.2 - Repair and replacement costs of water pipes. Refer...Ch. 15.2 - Performance of stock screeners. Refer to Exercise...Ch. 15.2 - Radon exposure in Egyptian tombs. Refer to the...Ch. 15.2 - Prob. 15.14ACICh. 15.3 - Prob. 15.15LMCh. 15.3 - Specify the test statistic and the rejection...Ch. 15.3 - Prob. 15.17LMCh. 15.3 - Prob. 15.18LMCh. 15.3 - Prob. 15.19ACBCh. 15.3 - Prob. 15.21ACBCh. 15.3 - Prob. 15.22ACBCh. 15.3 - The X-Factor in golf performance. Many golf...Ch. 15.3 - Prob. 15.24ACICh. 15.3 - Prob. 15.25ACICh. 15.3 - Prob. 15.26ACICh. 15.3 - Does rudeness really matter in the workplace?...Ch. 15.3 - Prob. 15.28ACICh. 15.4 - Prob. 15.29LMCh. 15.4 - Prob. 15.30LMCh. 15.4 - Prob. 15.31LMCh. 15.4 - Prob. 15.32LMCh. 15.4 - Twinned drill holes. Refer to the Exploration and...Ch. 15.4 - Prob. 15.34ACBCh. 15.4 - Prob. 15.35ACBCh. 15.4 - Prob. 15.36ACBCh. 15.4 - Prob. 15.37ACBCh. 15.4 - Prob. 15.38ACICh. 15.4 - Prob. 15.39ACICh. 15.4 - Prob. 15.40ACICh. 15.4 - Prob. 15.41ACICh. 15.4 - Prob. 15.42ACICh. 15.5 - Under what circumstances does the 2 distribution...Ch. 15.5 - Data were collected from three populations, A, B....Ch. 15.5 - Prob. 15.45LMCh. 15.5 - Prob. 15.46ACBCh. 15.5 - Prob. 15.47ACBCh. 15.5 - Prob. 15.48ACBCh. 15.5 - Prob. 15.49ACBCh. 15.5 - Prob. 15.50ACICh. 15.5 - Public defenders salaries. Random samples of seven...Ch. 15.5 - Prob. 15.52ACICh. 15.5 - Prob. 15.53ACICh. 15.6 - Prob. 15.54LMCh. 15.6 - Prob. 15.55LMCh. 15.6 - Prob. 15.56LMCh. 15.6 - Prob. 15.57ACBCh. 15.6 - Condit ions impeding farm production. A review of...Ch. 15.6 - Peer mentor training at a firm. Refer to the...Ch. 15.6 - Prob. 15.60ACBCh. 15.6 - Prob. 15.61ACICh. 15.6 - Prob. 15.62ACICh. 15.6 - Prob. 15.63ACICh. 15.6 - Prob. 15.64ACICh. 15.6 - Prob. 15.65ACICh. 15.7 - Prob. 15.66LMCh. 15.7 - Prob. 15.67LMCh. 15.7 - The following sample data were collected on...Ch. 15.7 - Compute Spearman s rank correlation coefficient...Ch. 15.7 - Charisma of top-level leaders. Refer to the...Ch. 15.7 - Prob. 15.71ACBCh. 15.7 - Prob. 15.72ACBCh. 15.7 - Prob. 15.73ACBCh. 15.7 - Prob. 15.74ACICh. 15.7 - Prob. 15.75ACICh. 15.7 - Prob. 15.76ACICh. 15.7 - Prob. 15.77ACICh. 15.7 - Sweetness of orange juice Refer to the orange...Ch. 15.7 - Americas most reputable companies. Forbes magazine...Ch. 15 - The data for three independent random samples are...Ch. 15 - Prob. 15.81LMCh. 15 - Two independent random samples produced the...Ch. 15 - Prob. 15.83LMCh. 15 - Prob. 15.84ACBCh. 15 - Prob. 15.85ACBCh. 15 - Office rental growth rates Real estate market...Ch. 15 - RIF plan to fire older employees. Reducing the...Ch. 15 - Prob. 15.88ACBCh. 15 - Wine-tasting experiment. Two expert wine tasters...Ch. 15 - Employee suggestion system. An employee suggestion...Ch. 15 - Prob. 15.91ACICh. 15 - Prob. 15.92ACICh. 15 - Prob. 15.93ACICh. 15 - Prob. 15.94ACICh. 15 - Cooling method for gas turbines. Refer to the...Ch. 15 - Flexible working hours program. A job-scheduling...Ch. 15 - Fluoride in drinking water. Many water treatment...Ch. 15 - Does fatigue lead to more defectives? A...Ch. 15 - Prob. 15.99ACICh. 15 - Prob. 15.100ACICh. 15 - Prob. 15.101ACICh. 15 - Groundwater contamination of wells. Methyl...
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- A researcher is interested in examining the relationship between spousal abuse and child abuse. Specifically, they are interested in determining whether there is a predictive relationship between spousal abuse and child abuse in 5 county social services offices. Calculate the Pearson's correlation coefficientarrow_forward54 wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of α=0.05. Correlation Results Correlation coeff, r: 0.969428 Critical r: ±0.2680855 P-value (two tailed): 0.000 =0/=0 Identify the correlation coefficient, r. (Round to three decimal places as needed.) Identify the critical value(s). (Round to three decimal places as needed.) Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? Give the absolute value of the test…arrow_forwardWhat is the value of Spearman's correlation coefficient for the association between chocolate consumption and the number of Nobel prize winners in chocolate nobelsarrow_forward
- A suburban hotel derives its revenue from its hotel and restaurant operations. The owners are interested in the relationship between the number of rooms occupied on a nightly basis and the revenue per day in the restaurant. The dataset is a sample of 25 days (Monday through Thursday) from last year showing the restaurant income and the number of rooms occupied. 1) Does the revenue seem to increase as the number of occupied rooms increases? Draw a scatter diagram to support your conclusion. 2) Determine the correlation coefficient between the two variables. Interpret the value. 3) Is it reasonable to conclude that there is a positive relationship between revenue and occupied rooms? Use the .10 significance level. 4) What percent of the variation in revenue in the restaurant is accounted for by the number of rooms occupied?arrow_forwardWhat is the advantage of using the Pearson Product Moment Correlation Coefficient over the use of scatter plots in determining the degree of strength of the relationship between the two variables in a set of data?arrow_forwardFifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of α=0.05. Correlation Results Correlation coeff, r: 0.955111 Critical r: ±0.2680855 P-value (two tailed): 0.000 Determine the null and alternative hypotheses. H0: ρ less than< not equals≠ less than< greater than> equals= nothing H1: ρarrow_forward
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- Fifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of α=0.05. Correlation Results Correlation coeff, r: 0.979514 Critical r: ±0.2680855 P-value (two tailed): 0.000 Determine the null and alternative hypotheses. H0: ρ(>,≠,=,<) ________ H1: ρ (>,≠,=,<) ________ (Type integers or decimals. Do not round.) Identify the correlation coefficient, r. r=_____ (Round to three decimal places as needed.) Identify the critical value(s). (Round to…arrow_forwardFifty-four wild bears were anesthetized, and then their weights and chest sizes were measured and listed in a data set. Results are shown in the accompanying display. Is there sufficient evidence to support the claim that there is a linear correlation between the weights of bears and their chest sizes? When measuring an anesthetized bear, is it easier to measure chest size than weight? If so, does it appear that a measured chest size can be used to predict the weight? Use a significance level of α=0.05. Correlation Results Correlation coeff, r: 0.963947 Critical r: ±0.2680855 P-value (two tailed): 0.000 Determine the null and alternative hypotheses. H0: ρ is: ≠, =, <, or > ______ H1: ρ is: <, =, >, or ≠ ______ (Type integers or decimals)arrow_forwardfind linear correlation coefficient, P value, and test statistic.arrow_forward
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