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A magazine article stated that average age of women who are getting married for first time is 26 years. Researcher decided to test hypothesis at α = .02. She chose the sample of 25 women who were recently married for first time and found average age was 23.5 years. Standard deviation was 3 years. Must null hypothesis be rejected?
A sample of 20 is taken, resulting in a mean of 16.45 and standard deviation of 3.59. Assume that x is normally distributed and used alpha of 0.5 to test hypotheses.
A manufacturer has a maximum of 240, 360, and 180 kilograms of wood, plastic and steel available. The company produces two products, A and B. Each unit of A requires 1, 3 and 2 kilograms of wood, plastic and steel respectively;
Find the critical value for t and determine the null and alternate hypothesis.
We measure the self esteem scores of a sample of statistics students, reasoning that this course may lower their self esteem relative to that of the typical college student (µ=55 and σ x =11.35) We obtain these scores:
Flaws in a certain type of drapery material appear on the average of one in 150 square feet. If we assume the Poisson distribution, give the probability of at most one flaw in 225 square feet.
Department store accepts three types of credit cards, MasterCard, Visa, and their own store card. Charges are normally distributed. A random sample of 18 credit card purchases included 6 MasterCard
Chi-square test for goodness of fit - difference in the use of the four entrances?
Let be the average of the pay you receive for the first and second week. Find the sampling distribution
Jamie expects that a bulb will last for 400 to 500 days, what is the probability of an Acme bulb satisfying that?
Suppose two residents participate in the program (each for 3 weeks= 21 days) and cart review inds a total of 20 medical erros made by the two residents combined. Rate = 20 errors in 21 days per 2 residents .95 error per day per 2 resdients or .4762..
It is estimated that 2% of the athletes competing in a large tournament are users of an illegal drug to enhance performance. The test for this drug is 95% accurate. What is the probability that an athlete who tests positive is actually a user?
Can you describe in detail the differences in ANOVA and the five-step hypothesis testing method?
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