a.
To explain: Why observational studies suggest that vitamin E therapy reduces that the risk of heart disease by describing the lurking variables.
a.

Explanation of Solution
Answers may vary. One of the possible lurking variables can be as follows:
An observational study conducted, suggested that vitamin E reduces that the risk of heart disease and also experiments showed that vitamin E has no effect in reducing the risk.
It is mentioned that, an observational study concluded that ‘vitamin E reduces that the risk of heart disease’ this conclusion might be reached because of the effect of the lurking variables in the study.
One of the lurking variables that affect the results is that, individuals in the study who are health conscious, this indicates that these individuals might take vitamin E for some other reasons. Also, the researchers who conducted the study might only include the people who are more health conscious. Thus, the study would be bias towards the people who are health conscious. Another lurking variable can be that individuals who are wealthy can buy vitamins for their health.
Thus, the lurking variables that affected the results of the study are individuals who are health conscious and wealthy.
b.
To explain: How the people who take vitamin E supplements have better health in observational studies but not in experiments.
b.

Explanation of Solution
In randomized experiment all the individuals in the study are assigned randomly to the treatments. In this study some of the individuals are randomly administered to vitamin E (treatment) and some the individuals are randomly not administered to vitamin E. Because of the randomly assigned the treatments, the results obtained in the experimental study would be more appropriate than observational study.
Moreover in observational study only the individuals are just observed and conclusion is drawn and also has some affects of lurking variables, All these reasons might lead to the people who take vitamin E supplements have better health in observational studies but not in experiments.
Want to see more full solutions like this?
Chapter 0 Solutions
BASIC PRACTICE OF STATISTICS+LAUNCHPAD
- Consider the following hypothesis test. The following results are for two independent samples taken from the two populations. Sample 1 Sample 2 n 1 = 80 n 2 = 70 x 1 = 104 x 2 = 106 σ 1 = 8.4 σ 2 = 7.6 What is the value of the test statistic? If required enter negative values as negative numbers (to 2 decimals). What is the p-value (to 4 decimals)? Use z-table. With = .05, what is your hypothesis testing conclusion?arrow_forwardPeriodically, Merrill Lynch customers are asked to evaluate Merrill Lynch financial consultants and services (2000 Merrill Lynch Client Satisfaction Survey). Higher ratings on the client satisfaction survey indicate better service with 7 the maximum service rating. Independent samples of service ratings for two financial consultants are summarized here. Consultant A has 10 years of experience, whereas consultant B has 1 year of experience. Use = .05 and test to see whether the consultant with more experience has the higher population mean service rating. Consultant A Consultant B = 16 = 10 = 6.82 = 6.25 = .64 = .75 State the null and alternative hypotheses.H0: 1 - 2 Ha: 1 - 2 Compute the value of the test statistic (to 2 decimals). What is the p-value?The p-value is What is your conclusion?arrow_forwardA firm paid its first annual dividend yesterday in the amount of $.15 per share. The company plans to double the dividend in each of the next 3 years. Starting in Year 4, the firm plans to pay $1.50 per share indefinitely. What is one share of this stock worth today if the market rate of return on similar securities is 13.8 percent? Multiple Choice $11.79 $8.92 $10.77 $11.02 $10.26arrow_forward
- Suppose the random variable X is normally distributed with mean 80 and standard deviation 16. Find following probabilities. Find ‘b’ such that P(X ≥ b) = 0.975. Find the probability using a normal distribution table AND using ti-83 calculator. SHOW ALL STEPS PLEASE.arrow_forwardSuppose the random variable X is normally distributed with mean 80 and standard deviation 16. Find following probabilities. Equation: P(85 ≤ X ≤ 102). Find the probability using a normal distribution table AND using ti-83 calculator. SHOW ALL STEPS PLEASE.arrow_forwardData set is Bachelor Degree's Conferred by Race and Ethnicity.arrow_forward
- 4. Vons, a large supermarket in Grover Beach, California, is con- sidering extending its store hours from 7:00 am to midnight, seven days a week, to 6:00 am to midnight. Discuss the sam- pling bias in the following sampling strategies:arrow_forward3. Natalie Min is an undergraduate in the Haas School of Busi- ness at Berkeley. She wishes to pursue an MBA from Berkeley and wants to know the profile of other students who are likely to apply to the Berkeley MBA program. In particular, she wants to know the GPA of students with whom she might be compet- ing. She randomly surveys 40 students from her accounting class for the analysis. Discuss in detail whether or not Natalie's analysis is based on a representative sample.arrow_forwardSee data attached. SoftBus Company sells PC equipment and customized software to small companies to help them manage their day-to-day business activities. Although SoftBus spends time with all customers to understand their needs, the customers are eventually on their own to use the equipment and software intelligently. To understand its customers better, SoftBus recently sent questionnaires to a large number of prospective customers. Key personnel—those who would be using the software—were asked to fill out the questionnaire. SoftBus received 82 usable responses, as shown in the file. You can assume that these employees represent a random sample of all of SoftBus's prospective customers. SoftBus believes it can afford to spend much less time with customers who own PCs and score at least 4 on PC Knowledge. Let's call these the "PC-savvy" customers. On the other hand, SoftBus believes it will have to spend a lot of time with customers who do not own a PC and score 2 or less on PC…arrow_forward
- See data attached. SoftBus Company sells PC equipment and customized software to small companies to help them manage their day-to-day business activities. Although SoftBus spends time with all customers to understand their needs, the customers are eventually on their own to use the equipment and software intelligently. To understand its customers better, SoftBus recently sent questionnaires to a large number of prospective customers. Key personnel—those who would be using the software—were asked to fill out the questionnaire. SoftBus received 82 usable responses, as shown in the file. You can assume that these employees represent a random sample of all of SoftBus's prospective customers. SoftBus believes it can afford to spend much less time with customers who own PCs and score at least 4 on PC Knowledge. Let's call these the "PC-savvy" customers. On the other hand, SoftBus believes it will have to spend a lot of time with customers who do not own a PC and score 2 or less on PC…arrow_forwardWho is the better student, relative to his or her classmates? Here’s all the information you ever wanted to knowarrow_forward3. A bag of Skittles contains five colors: red, orange, green, yellow, and purple. The probabilities of choosing each color are shown in the chart below. What is the probability of choosing first a red, then a purple, and then a green Skittle, replacing the candies in between picks? Color Probability Red 0.2299 Green 0.1908 Orange 0.2168 Yellow 0.1889 Purple 0.1736arrow_forward
- MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons IncProbability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage LearningStatistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
- Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSONThe Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. FreemanIntroduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman





