STAT TECH IN BUSINESS & ECON AC
18th Edition
ISBN: 9781264731657
Author: Lind
Publisher: MCG
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Chapter 13, Problem 4E
a.
To determine
Construct a
b.
To determine
Check whether there is a linear relationship between number assemblers and production.
Explain the answer.
c.
To determine
Identify the
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The director of an obesity clinic in a large northwestern city believes that drinking soft drinks contribute to obesity in children. To determine whether a relationship exists between these two variables, she conducts the following pilot study. Eight- 12-year-old male volunteers are randomly selected from children attending a local junior high school. Parents of the children are asked to monitor the number of soft drinks consumed by their child over a one week period. The children are weighed at the end of the week and their weights converted into body mass index (BMI) values. The BMI is a common index used to measure obesity and takes into account both height and weight. An individual is considered obese if they have a BMI value 30. The following data or collected:
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Mandrake Falls High School is experimenting with a weekend course in laboratory techniques. Of the 200 students enrolled in
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Chapter 13 Solutions
STAT TECH IN BUSINESS & ECON AC
Ch. 13 - Prob. 1SRCh. 13 - Prob. 1ECh. 13 - Prob. 2ECh. 13 - Bi-lo Appliance Super-Store has outlets in several...Ch. 13 - Prob. 4ECh. 13 - Prob. 5ECh. 13 - The owner of Maumee Ford-Volvo wants to study the...Ch. 13 - Prob. 2SRCh. 13 - Prob. 7ECh. 13 - Prob. 8E
Ch. 13 - Prob. 9ECh. 13 - Prob. 10ECh. 13 - Prob. 11ECh. 13 - Prob. 12ECh. 13 - Prob. 3SRCh. 13 - Prob. 13ECh. 13 - Prob. 14ECh. 13 - Prob. 15ECh. 13 - Prob. 16ECh. 13 - Prob. 17ECh. 13 - Prob. 18ECh. 13 - Prob. 19ECh. 13 - Prob. 20ECh. 13 - Prob. 4SRCh. 13 - Prob. 21ECh. 13 - Prob. 22ECh. 13 - Prob. 23ECh. 13 - Prob. 24ECh. 13 - Prob. 5SRCh. 13 - Prob. 25ECh. 13 - Prob. 26ECh. 13 - Prob. 27ECh. 13 - Prob. 28ECh. 13 - Prob. 29ECh. 13 - Prob. 30ECh. 13 - Prob. 6SRCh. 13 - Prob. 31ECh. 13 - Prob. 32ECh. 13 - Prob. 33ECh. 13 - Refer to Exercise 16. a. Determine the .95...Ch. 13 - Prob. 35ECh. 13 - A regional commuter airline selected a random...Ch. 13 - Prob. 38CECh. 13 - Prob. 39CECh. 13 - Prob. 40CECh. 13 - Prob. 41CECh. 13 - Prob. 42CECh. 13 - Prob. 43CECh. 13 - Prob. 44CECh. 13 - The manufacturer of Cardio Glide exercise...Ch. 13 - Prob. 46CECh. 13 - Prob. 47CECh. 13 - Prob. 48CECh. 13 - Prob. 49CECh. 13 - Mr. William Profit is studying companies going...Ch. 13 - Prob. 51CECh. 13 - Prob. 54CECh. 13 - A regression analysis relating the current market...Ch. 13 - Prob. 56CECh. 13 - Prob. 57CECh. 13 - Prob. 58CECh. 13 - Prob. 59CECh. 13 - Prob. 60CECh. 13 - TravelAir.com samples domestic airline flights to...Ch. 13 - The North Valley Real Estate data reports...Ch. 13 - Prob. 64DA
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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4arrow_forwardUrban Travel Times Population of cities and driving times are related, as shown in the accompanying table, which shows the 1960 population N, in thousands, for several cities, together with the average time T, in minutes, sent by residents driving to work. City Population N Driving time T Los Angeles 6489 16.8 Pittsburgh 1804 12.6 Washington 1808 14.3 Hutchinson 38 6.1 Nashville 347 10.8 Tallahassee 48 7.3 An analysis of these data, along with data from 17 other cities in the United States and Canada, led to a power model of average driving time as a function of population. a Construct a power model of driving time in minutes as a function of population measured in thousands b Is average driving time in Pittsburgh more or less than would be expected from its population? c If you wish to move to a smaller city to reduce your average driving time to work by 25, how much smaller should the city be?arrow_forwardStatus regarding lab techniques course Took the techniques course Didn't take the techniques course Total Involved in no incident 40 58 98 Laboratory performance Involved in exactly one incident 17 22.57 1.375 44 38.43 0.807 61 Involved in 2+ incidents 17 0 24 0 41 Total 74 126 200arrow_forward
- A researcher uses an anonymous survey to track the number of salmon caught in Gaspe. Based on a set of 115 surveys distributed to a select few of the many hundreds of anglers who fished Gaspe, it was determined that anglers caught an average of 2.3 salmon per week. For this study, the average of 2.3 salmon per week is an example of which one statistic parameter. population samplearrow_forwardAckerman and Goldsmith (2011) compared learning performance for students who studied the same material present on a computer screen. All students were then given a test on the material and the researchers recoded the number of correct answers. a. identify the dependent variable for this study. b. is the dependent variable discrete or continuous ? c. what scale of measurement ( nominal, ordinary, interval, or ration) is used to measure the dependent variable?arrow_forwardA police academy has just brought in a batch of new recruits. All recruits are given an aptitude test and a fitness test. Suppose a researcher wants to know if there is a significant difference in aptitude scores based on a recruits’ fitness level. Recruits are ranked on a scale of 1 – 3 for fitness (1 = lowest fitness category, 3 = highest fitness category). Using “ApScore” as your dependent variable and “FitGroup” as your independent variable, conduct a One-Way, Between Subjects, ANOVA, at α = 0.05, to see if there is a significant difference on the aptitude test between fitness groups. Identify the correct interpretations for your results. Select BOTH correct answers. Hint: Read each option CAREFULLY! A. There IS a significant difference (p = 0.56) in mean aptitude scores across the three different fitness groups (FitGroup1: M = 101.86, SD = 25.87; FitGroup2: M = 120.57, SD = 34.39; FitGroup3: M = 109, SD = 43.84). B. The actual probability (p) of obtaining…arrow_forward
- A police academy has just brought in a batch of new recruits. All recruits are given an aptitude test and a fitness test. Suppose a researcher wants to know if there is a significant difference in aptitude scores based on a recruits’ fitness level. Recruits are ranked on a scale of 1 – 3 for fitness (1 = lowest fitness category, 3 = highest fitness category). Using “ApScore” as your dependent variable and “FitGroup” as your independent variable, conduct a One-Way, Between Subjects, ANOVA, at α = 0.05, to see if there is a significant difference on the aptitude test between fitness groups. Identify the correct written form of the null hypothesis A. The mean fitness score between the three aptitude tests are NOT equal B. The mean aptitude score between the three fitness groups are NOT equal C. The mean aptitude score between the three fitness groups are equal D. The mean fitness score between the three aptitude tests are equalarrow_forwardA company has two chemist, Mr. Morris and Mr. Logan to produce their drinks. Mr. John, their boss, is not pleased with Mr. Logan’s attitude to work, so he is contemplating firing Mr. Logan andkeeping Mr. Morris only to perform this job. The problem, however, is that Mr. Logan seems to produce a higher quality drink whenever he oversees production when compared to Mr. Morris. Before making a final decision, Mr. John decided to collect data measuring the quality of different batches ofdrinks produced by Mr. Morris and Mr. Logan to make a better-informeddecision. The results, measured on a quality scale, are listed below: Name Average Standard Deviation Sample Size Mr. Logan 98 1 8 Mr. Morris 94 4 10 a) Based on this data above, advise Mr. John whether Mr. Logan isbetter at making the signature sauce than Mr. Morris by usinghypothesis testing – use the critical value approach with a level ofsignificance at 5%.arrow_forward
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