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A sample of students from an introductory psychology class were polled regarding the number of hours they spent studying for the last exam. All students anonymously submitted the number of hours on a 3 by 5 card. There were 24 individuals in the one section of the course polled. The data was used to make inferences regarding the other students taking the course. Construct a 95% confidence interval estimate. Explain your findings so that your non-quantitative partner will understand them. Their data is below:
20 18 7.5 11 10 3.5 7.5 18 19 2.5 9 149 14 14.5 17 22 4.5 10.5 15 5 8.5 8 20
The student body of a large university comprises 60% female students. Elucidate what is the probability that the students in the sample exactly two are female?
What will be critical value of chi-square if test is to be performed at 0.025 level? At the 0.05 level?
Otherwise you lose $1. If you make this wager very many times, what will be the mean outcome?
Test the claim that the mean age of the prison population in one city is less than 26 years. Sample data are summarized as n = 25, x = 24.4 years, and s = 9.2 years. Use a significance level of α = 0.05.
Use the sales data given below determine: a) The least square trend line.
At the .05 significance level, can we conclude that there is a difference in their mean times?
Set up the null and alternative hypotheses to test whether the proportion of MBA students who expect to stay at their first job five years or more is less than one-fourth of all U.S. MBA students.
Advertisers need to know which age groups are likely to see their ads. Purchasers of 120 copies of Cosmopolitan are shown by age group Perform the chi-square test for a uniform distribution at α = .01
Find out the mean number of letters that will arrive in two days.
Assume that the mean parameter θ for the RV L is unknown. To estimate it, a random sample of n = 10 light bulbs is selected, and the lifetime of each light bulb is measured. Let X denote the number of those 10 sampled light bulbs that burn longer ..
She believes that the number of customers served on weekdays follows a normal distribution. Construct an 99% confidence interval of the average number of customers served on weekdays.
Mean = 14.2, s² = 5.92 and sum of X squared EX² = 2941.60. What can be concluded about age differences in problem solving ability?
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