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After considering the sampling problems associated with Problem 1, your friend decides to interview people who literally are "on the street." That is, he stands on a downtown sidewalk and takes as his population passersby who come near enough that he might buttonhole them for an interview. List four sources of bias that you believe might prevent him from obtaining a truly random sample of interviewees.
Problem 1
"The average person on the street is not happy," or so claimed the newscaster after interviewing patrons of a local sports bar regarding severe sanctions that had been imposed on the state university for NCAA infractions.
(a) What population does the newscaster appear to have in mind?
(b) What is the sample in this instance?
(c) Do you believe this sample is representative of the apparent population? If not, in what ways might this sample be biased?
A Department of Transportation survey showed that 60% of U.S. residents over 65 years of age oppose use of cell phones in flight even if there were no issues.
the average life expectancy in the united states l has been rising steadily over the past few decades as shown in the
Why do a null and alternative hypothesis have to be mutually exclusive? When would you accept the null hypothesis? Can you give an example of this?
The price of a railroad car purchased by Rio Corporation was $78,600. Using the MACRS method, calculate the annual depreciation for year 3. (Round all dollar amounts to the nearest cent)
Test-preparation organizations like Kaplan, Princeton Review, etc. often advertise their services by claiming that students gain an average of 100 or more points on the Scholastic Achievement Test (SAT). Do you think that taking one of those class..
Why is the standard error for prediction even larger than the standard deviation S?
A mean score of 600 and a standard deviation of 100. What credit score defines the top five percent of scores. Within what range would 85% of credit score fall.
Use this calculation table for the chi-square test for goodness-of-fit to complete this exercise.
Assuming that his list represents a simple random sample of those persons who could be called, what is the probability that Albert will meet or exceed his quota?
What concepts and constructs would you use to study this phenomenon? How might the concepts or constructs relate to explanatory hypotheses? Explain.
Let X and ff denote, respectively, the mean and the variance of a random sample of size n from a distribution which is N(O, u2).
In the course of her analysis, she selected a random sample of 20 weeks and recorded the sales for each week and the amount spent on advertising.
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