P(−2.5

When using an independent samples t-test, the author of a journal article reported that t(30) = 3.60, p < .05. Should the researcher reject the null or fail to reject the null?

We take a sample of size 40 to test Hoitt=40 against Hil<40. We compute a test statistic of z = - 2.17. What is the P- value associated with this test statistic? .4850 .5150 .0150 .0300

Professor Nord stated that the mean score on the final exam from all the years he has been teaching is a 79%.  Colby was in his most recent class, and his class’s mean score on the final exam was 82%.  Colby decided to run a hypothesis test to determine if the mean score of his class was significantly greater than the mean score of the population.  α = .01. What is the mean score of the population? What is the mean score of the sample? Is this test one-tailed or two-tailed? Why?

state whether or not this resulting observed interval ended up capturing the true population proportion p of 0.45.

Q: Fewer than 90% of adults have a cell phone. This is a claim about a population proportion so a normal distribution is assumed. The claim undergoes a hypothesis test using a significance level of α = 0.05. The P-value based on sample data is calculated to be 0.0003.   On your graph, next highlight the P-value. (The P-value means that there is a 0.03% chance that your results could be random or happen by chance). State a conclusion about the null hypothesis. (Reject H0 or fail to reject H0.) Without using technical terms or symbols, state a final conclusion that addresses the original claim, i.e., fewer than 90% of adults have a cell phone.Now we will test this hypothesis using the critical value method. The z statistic is most relevant to this test. Using the z-score tables at the back of the textbook, find the z-score for a significance level of α = 0.05. This is the critical value. What is it? Sketch a normal distribution curve, plot the critical value, and highlight the critical…

The results of an independent-samples t test were t(18) = 4.42, p < 0.05. In this example, the sample size is:   Question 10 options:   16.   18.   19.   20.

Determine the minimum sample size required when you want to be 95% confident that the sample mean is within one unit of the population mean and o=17.2. Assume the population is normally distributed