(a)
To find: The sample space if the subject is either female or male.
(a)

Answer to Problem 19.1TY
The sample space if the subject is either female or male is
Explanation of Solution
Given info:
The study deals with the exercise and fitness. The participants are either female or male.
Justification
Sample space:
The set of all possible outcomes of an experiment is known as sample space. The sample space denoted as (S). The number of possible outcomes is denoted as N(S).
Here, the possible outcomes for the study are male and female. One subject is randomly selected can be either male or female.
The sample space is,
(b)
To find: The sample space of the rate of perceived exertion (RPE) after 10 minutes bicycle exercise.
(b)

Answer to Problem 19.1TY
The sample space of the rate of perceived exertion (RPE) after 10 minutes bicycle exercise is
Explanation of Solution
Given info:
A study is conducted between the exercise and fitness. The rate of perceived exertion (RPE) measures in whole number from 6 to 20.
Justification
Here, the subject rates of perceived exertion (RPE) are after 10 minutes exercise in bicycle. The RPE
Thus, the sample space is
(c)
To find: The sample space for the maximum volume of oxygen consumed per minute during exercise.
(c)

Answer to Problem 19.1TY
The sample space of the maximum volume of oxygen consumed per minute during exercise is
Explanation of Solution
Given info:
The VO2 is measured during exercise. VO2 ranges from 2.5 and 6.1 liters per minute.
Justification
Here, VO2 is the maximum volume of oxygen is consumed during exercise. It ranges from is 2.5 and 6.1 liters per minute. The minimum oxygen consumed during exercise is 2.5 liters per minute and maximum oxygen consumed during exercise is 6.1 liters per minute.
The sample space is
(d)
To find: The sample space for the maximum heart beat (beats per minute).
(d)

Answer to Problem 19.1TY
The sample space of the maximum heart beat (beats per minute) is
Explanation of Solution
Answers will vary for the maximum heart rate. One of the possible answers is given below:
Given info:
A study is conducted between the exercise and fitness. The maximum heart rate is measured during exercise.
Justification:
The maximum heart rate is recorded for each subject after exercise. Suppose that the lowest maximum heart rate is 70 beats per minute after exercise, hence, the sample space includes all heart rates above 70.
Thus, the sample space of the maximum heart beat (beats per minute) is
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Chapter 19 Solutions
The Basic Practice of Statistics
- ons 12. A sociologist hypothesizes that the crime rate is higher in areas with higher poverty rate and lower median income. She col- lects data on the crime rate (crimes per 100,000 residents), the poverty rate (in %), and the median income (in $1,000s) from 41 New England cities. A portion of the regression results is shown in the following table. Standard Coefficients error t stat p-value Intercept -301.62 549.71 -0.55 0.5864 Poverty 53.16 14.22 3.74 0.0006 Income 4.95 8.26 0.60 0.5526 a. b. Are the signs as expected on the slope coefficients? Predict the crime rate in an area with a poverty rate of 20% and a median income of $50,000. 3. Using data from 50 workarrow_forward2. The owner of several used-car dealerships believes that the selling price of a used car can best be predicted using the car's age. He uses data on the recent selling price (in $) and age of 20 used sedans to estimate Price = Po + B₁Age + ε. A portion of the regression results is shown in the accompanying table. Standard Coefficients Intercept 21187.94 Error 733.42 t Stat p-value 28.89 1.56E-16 Age -1208.25 128.95 -9.37 2.41E-08 a. What is the estimate for B₁? Interpret this value. b. What is the sample regression equation? C. Predict the selling price of a 5-year-old sedan.arrow_forwardian income of $50,000. erty rate of 13. Using data from 50 workers, a researcher estimates Wage = Bo+B,Education + B₂Experience + B3Age+e, where Wage is the hourly wage rate and Education, Experience, and Age are the years of higher education, the years of experience, and the age of the worker, respectively. A portion of the regression results is shown in the following table. ni ogolloo bash 1 Standard Coefficients error t stat p-value Intercept 7.87 4.09 1.93 0.0603 Education 1.44 0.34 4.24 0.0001 Experience 0.45 0.14 3.16 0.0028 Age -0.01 0.08 -0.14 0.8920 a. Interpret the estimated coefficients for Education and Experience. b. Predict the hourly wage rate for a 30-year-old worker with four years of higher education and three years of experience.arrow_forward
- 1. If a firm spends more on advertising, is it likely to increase sales? Data on annual sales (in $100,000s) and advertising expenditures (in $10,000s) were collected for 20 firms in order to estimate the model Sales = Po + B₁Advertising + ε. A portion of the regression results is shown in the accompanying table. Intercept Advertising Standard Coefficients Error t Stat p-value -7.42 1.46 -5.09 7.66E-05 0.42 0.05 8.70 7.26E-08 a. Interpret the estimated slope coefficient. b. What is the sample regression equation? C. Predict the sales for a firm that spends $500,000 annually on advertising.arrow_forwardCan you help me solve problem 38 with steps im stuck.arrow_forwardHow do the samples hold up to the efficiency test? What percentages of the samples pass or fail the test? What would be the likelihood of having the following specific number of efficiency test failures in the next 300 processors tested? 1 failures, 5 failures, 10 failures and 20 failures.arrow_forward
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- Please conduct a step by step of these statistical tests on separate sheets of Microsoft Excel. If the calculations in Microsoft Excel are incorrect, the null and alternative hypotheses, as well as the conclusions drawn from them, will be meaningless and will not receive any points 2. Two-Sample T-Test: Compare the average sales revenue of two different regions to determine if there is a significant difference. (Hints: The null can be about maintaining status-quo or no difference among groups; if alternative hypothesis is non-directional use the two-tailed p-value from excel file to make a decision about rejecting or not rejecting null) H0 = H1=arrow_forwardPlease conduct a step by step of these statistical tests on separate sheets of Microsoft Excel. If the calculations in Microsoft Excel are incorrect, the null and alternative hypotheses, as well as the conclusions drawn from them, will be meaningless and will not receive any points 3. Paired T-Test: A company implemented a training program to improve employee performance. To evaluate the effectiveness of the program, the company recorded the test scores of 25 employees before and after the training. Determine if the training program is effective in terms of scores of participants before and after the training. (Hints: The null can be about maintaining status-quo or no difference among groups; if alternative hypothesis is non-directional, use the two-tailed p-value from excel file to make a decision about rejecting or not rejecting the null) H0 = H1= Conclusion:arrow_forwardPlease conduct a step by step of these statistical tests on separate sheets of Microsoft Excel. If the calculations in Microsoft Excel are incorrect, the null and alternative hypotheses, as well as the conclusions drawn from them, will be meaningless and will not receive any points. The data for the following questions is provided in Microsoft Excel file on 4 separate sheets. Please conduct these statistical tests on separate sheets of Microsoft Excel. If the calculations in Microsoft Excel are incorrect, the null and alternative hypotheses, as well as the conclusions drawn from them, will be meaningless and will not receive any points. 1. One Sample T-Test: Determine whether the average satisfaction rating of customers for a product is significantly different from a hypothetical mean of 75. (Hints: The null can be about maintaining status-quo or no difference; If your alternative hypothesis is non-directional (e.g., μ≠75), you should use the two-tailed p-value from excel file to…arrow_forward
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