a). A researcher conducts a hypothesis test to evaluate the effect of a treatment. The hypothesis test produces a z-score of z = 2.37. Assuming that the researcher is using a two-tailed test with a = .05, what decision should be made and why? b) If a researcher is using a t statistic to test a null hypothesis about a population, what information is needed from the population to calculate the t statistic

a. set up appropriate null and alternative hypotheses of the test b. choose an appropriate test statistic and use the data to find the p-value

In case of hypothesis testing in places where population variances are unknown and sample size is large (nl and n22 30), sample variances can be a good approximation of population variances. Which best describe this statement? Select one: O a. None of the choices O b. The statement is true c. The statement is false O d. Not enough data to support the statement O e. The statement is neither true nor false

An educator believes that the proportion of finance majors seeking to earn an MBA degree equals the proportion of management majors seeking to earn an MBA degree in the population. A random sample of 100 finance majors is taken and 24 indicate that they will seek to earn an MBA degree. Likewise, a random sample of 400 management majors is taken and 65 indicate that they will seek to earn an MBA degree. Using this information, test the educator’s claim at the 0.05 level

According to the Bureau of Transportation Statistics, on-time performance by airlines is described as follows: Action % of time On Time National Aviation System Delay Aircraft arriving late 71 9. 10 Other (weather and other conditions) 10 When a study was conducted it was found that of the 211 randomly selected flights, 150 were on time, 19 were a National Aviation System Delay, 21 arriving late , 21 were due to weather. Perform a test to see if there is sufficient evidence at a = 0.10 to see if these differ from the governments statistics. The correct hypotheses are: O Ho: The sample is a good fit to the Bureau of Transportation Statistics. HA: The sample is not a good fit to the Bureau of Transportation Statistics. (claim) O Ho: The sample is not a good fit to the Bureau of Transportation Statistics. HA: The sample is a good fit to the Bureau of Transportation Statistics. (claim) O Ho: The sample and the Bureau of Transportation Statistics are independent. HA: The sample and the…

3. The producers of a new toothpaste want to see if it is performing similar to their main whitening toothpaste in preventing cavities. Their main whitening tooth paste performance at a six-month checkup is i.73 (o-1.12). To test the new tooth paste, 60 people used it for six-months. At the checkup they found a mean of 1.5 cavities. Perform the appropriate hypothesis testing. Make sure to include all the steps (hypotheses, critical values, calculations, conclusions an interpretations). 0.0 68

A test of the null hypothesis Ho: p = .25 gives a test statistic z = 1.6. What is the p-value if the alternative is Ha: p > .25? What is the p-value if the alternative is Ha: p < .25? What is the p-value if the alternative is Ha: p .25?

According to a Pew Research Center study, in May 2011, 33% of all American adults had a smart phone (one which the user can use to read email and surf the Internet). A communications professor at a university believes this percentage is higher among community college students. She selects 323 community college students at random and finds that 134 of them have a smart phone. In testing the hypotheses: Ho: p= 0.33 versus Ha: p > 0.33 Do the hypothesis test. Use a level of significance of a = 0.05; Use the unrounded values in Excel to find the answers for # 3 and #4. 1. I 4. Find the p-value.-- 5. The communication professor should the null hypothesis.

B.  What is the test​ statistic? z=___ C. What is the​ P-value? ​P-value=___   D.  What is the null​ hypothesis, and what do you conclude about​ it?   H0: p≠0.09or H0: p<0.09 or H0: p=0.09 or H0: p >0.09   E. Reject  the null hypothesis or Fail to reject the null hypothesis? Why?   F. What is the final​ conclusion?

The value obtained for the test statistic, z, in a one-mean z-test is given. Whether the test is two tailed, left tailed, or right tailed is also specified. For parts (a) and (b), determine the P-value and decide whether, at the 1% significance level, the data provide sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis. a. The test statistic in a two-tailed test is z = -0.93. The P-value is (Round to three decimal places as needed.) ... sufficient evidence to reject the null hypothesis in favor of the significance level. At the 1% significance level, the data the alternative hypothesis because the obtained P-value is b. The test statistic in a two-tailed test is z = 0.61. The P-value is (Round to three decimal places as needed.) sufficient evidence to reject the null hypothesis in favor of the significance level. At the 1% significance level, the data the alternative hypothesis because the obtained P-value is Time Remaining: 01:57:58 Mand