The F Statistic from an experiment with k = 7 and n = 42 is 2.55. At α = 0.05, will you reject the null hypothesis?

An education researcher claims that 57​%of college students work​ year-round. In a random sample of 300 college​ students, 171 say they work​ year-round. At α=0.01​, is there enough evidence to reject the​ researcher's claim?    Find the standardized test statistic z.   z=   (f) Decide whether to reject or fail to reject the null hypothesis and​ (e) interpret the decision in the context of the original claim.   ▼ a.Fail to reject b.Reject the null hypothesis. There ▼ a.is not b.is enough evidence to ▼ a.reject b.support the​ researcher's claim.

An internet provider wants to see if male and female college students spend a different amount of time online each day. In a random sample of 200 male college student shows the mean was 85 minutes with σ = 15 minutes. Another sample of 250 female college students has a mean of 81 minutes and σ = 17 minutes. Is there enough evidence to prove the claim at α = .05.

Find the​ P-value for a​ left-tailed hypothesis test with a test statistic of z=−1.50. Decide whether to reject H0 if the level of significance is α=0.05. ​P-value=nothing ​(Round to four decimal places as​ needed.)

A track coach is trying to decide whether to recommend a new running shoe by Converse or his preferred shoe by Nike. The coach decides to recruit four of his runners to run one kilometer with each shoe type. The coach spreads his experiment over two days, to allow his runners to rest. Below are the run times in minutes. Are the run times for the two types of shoes different? Does it matter? states null and alternative hypothesis, an alpha level of 0.05 test null hypothesis, draw rejection region, effect size, conclusion  Table below  Converse  Nike  4.4 4.1 4.7 4.8 4.8 4.1 4.4 4 4.1 3.9

A hypothesis regarding the weight of newborn infants at a community hospital is that the mean is 6.6 pounds. A sample of seven infants is randomly selected and their weights at birth are recorded as 9.0, 7.3, 6.0, 8.8, 6.8, 8.4, and 6.6 pounds. If α = 0.05, what is the critical t value? 2) A hypothesis regarding the weight of newborn infants at a community hospital is that the mean is 6.6 pounds. A sample of seven infants is randomly selected and their weights at birth are recorded as 9.0, 7.3, 6.0, 8.8, 6.8, 8.4, and 6.6 pounds. What are the degrees of freedom

A sample of n = 36 scores is selected from a normal population with µ = 75 and σ = 7. The probability of obtaining a sample mean greater than M = 73 is p = 0.9056. True or False?

Suppose that we have a problem for which the null and alternative hypothesis are given by: H0: μ = 88.5 ounces. H1:μ < 88.5 ounces. Is this a right-tailed test, left-tailed test, or two-tailed test. Find the z value based on a level of significance of α=.10.

A sample of n = 4 individuals is selected from a normal population with μ = 70 and σ = 10. A treatment is administered to the individuals in the sample, and after the treatment, the sample mean is found to be M = 75.Part A. On the basis of the sample data, can you conclude that the treatment has a significant effect? Use a two-tailed test with α = .05.Part B. Suppose that the sample consisted of n = 25 individuals and produced a mean of M = 75. Repeat the hypothesis test at the .05 level of significance.Part C. Compare the results from part (a) and part (b). How does the sample size influence the outcome of a hypothesis test?Your answers for parts (A), (B), and (C) respectively are A) N.S. (meaning "Not Significant"); significant; larger n means MORE likely to be significant B) significant; N.S.; larger n means MORE likely to be significant C) N.S.; significant; larger n means LESS likely to be significant D) significant; N.S.; larger n means LESS likely to be significant

A sample of n = 25 scores is selected from a population with a mean of μ = 73 , and a treatment is administered to the sample. After treatment, the sample has M = 70 and s2 = 100. If a hypothesis test with a t statistic is used to evaluate the treatment effect, then what value will be obtained for the t statistic?     t = -0.75     t = -3.00     t = -1.50     t = +1.50