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To test effectiveness of treatment, a sample of n = 25 people is chosen from normal population with mean of µ = 60. After treatment is administered to individuals in sample, sample mean is found to be M = 55.
a. Calculate Cohen's d measure effect size for both tests (σ = 20 and σ = 10).b. Briefly explain how sample size affect outcome of hypothesis test. How does sample size affect measures of effect size?
In the 1992 U.S. presidential election, Bill Clinton received 43% of the vote compared to 38% for George H. W. Bush and 19% for Ross Perot. Suppose we had taken a random sample of 100 voters in an exit poll and asked them for whom they had voted.
Is there evidence of difference in median performance between two methods? (Use α = 0.05.)
Based on the answers to a through d, decide whether or not to reject the null hypothesis at the given significance level. Explain your conclusion in the context of the problem.
Print Media Advertising (PMA) has been given a contract to market Buzz Cola via newspaper ads in a major southern newspaper. Full-page ads in the weekday editions (Monday through Saturday) cost $2000, whereas on Sunday a full-page ad costs $8000.
625 males, 398 say they have gone to the dentist in the past year. Construct 90% and 95% confidence intervals for the population proportion.
If the decision in the hypothesis test of population correlation is to reject the null hypothesis, what can we conclude about the population correlation.
By using.02 level of significance, carry out a 5-step hypothesis testing procedure to find out if new processes considerably reduced the wait time.
Using the least squares coded method, determine the equation for the straight line going through the earnings. Project, using the equation for the average hourly earnings for the year 1990
In a regression analysis involving 30 observations, the following estimated regression equation was obtained.
Calculate the Measures of Center and Measures of Variation for the following data set representing the chest size of 20 bears in inches.
A jar contains 12 marbles, 5 of which are blue and 7 of which are red. If 4 marbles are chosen at random and without replacement, what is the probability of selecting 3 blue ones and 1 red one?
Critically discuss the purpose of developing a frequency distribution? What is the relationship between the relative frequency and the cumulative frequency? Could a frequency distribution contain qualitative data? Why?
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