a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? Select an answer H: ? Select an answer v c. The test statistic ? (please show your answe %3!
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- The data from an independent-measures research study produce a sample mean difference of 4 points and a pooled variance of 16. If there are n = 8 scores in each sample, then what is the estimated standard error for the sample mean difference? Select one: O a. 4 O b. 16 O c. 128 O d. 2You compute a two-sample z statistic and it comes out to equal 1.6. What is the p-value if you are doing a two-tailed test? Enter a value between 0 and 100 corresponding to the percentage, e.g. if your p-value equals 2.4%, enter 2.4. Any correctly rounded version will receive full credit.The recidivism rate for convicted sex offenders is 9%. A warden suspects that this percent is higher if the sex offender is also a drug addict. Of the 396 convicted sex offenders who were also drug addicts, 51 of them became repeat offenders. What can be concluded at the a = 0.05 level of significance? a. For this study, we should use z-test for a population proportion b. The null and alternative hypotheses would be: Но: 0.09 |(please enter a decimal) H1: P 0.09 (Please enter a decimal) c. The test statistic ? 2.697 (please show your answer to 3 decimal places.) d. The p-value =| 0.0035 v (Please show your answer to 4 decimal places.) e. The p-value is f. Based on this, we should reject the null hypothesis. g. Thus, the final conclusion is that ... O The data suggest the populaton proportion is significantly higher than 9% at a = 0.05, so there is statistically significant evidence to conclude that the population proportion of convicted sex offender drug addicts who become repeat…
- You are interested in testing if there is an association between marital status (married vs. never married) and BMI (quantitative). Which of the following is the most appropriate statistical test that you will you use? A. One-sample T-testB. Independent Sample t-testC. Chi Square testD. None of the aboveThe Bureau of Labor Statistics reports that the official unemployment rate for Black people was 10.4% and 4.7% for White people in February 2015. Select all correct answers for this question. O The samples of white and black people are independent. The explanatory variable is the unemployment rate. The response variable is the unemployment rate. The response variable is race.Babies and younger boys are more likely to be diagnosed with peanut allergies. To test this claim a group of researchers tested the allergies among a group of boys and girls aged below 18 years. A total of 540 kids were selected randomly and asked to eat a small amount of peanut. Group n x Boys 280 120 Girls 260 90 Do boys have a higher chance to be diagnosed with a peanut allergy? Calculate the test statistic. Calculate p-value.
- Suppose a study reported that the average persin watched 3.37 hours of television per day. a random sample of 15 people gave the number of hours of television watched per day shown below. at the 1% significance level, do the data provide sufficent evidence to conclude that the amount of television watched per day last year by the average person is greater than the value reported in the study? what is the test statistic value for this problem? a.0.28 b.-38 c.none of the above d. 0.58 e.-4.295 f..04 g. 1.94 . the proper conclusion for this problem is? a. reject the null hypothesis we have sufficent evidence to prove the average number of hours people watch tv is more than 3.37 hours. b. Do not reject the null hypothesis we have sufficient evidence to prove the average number of hours of TV watched is greater than 3.37 hours c. Reject the null hypothesis and claim the average number of hours people watch TV is less than 3.37 because the P value is near zero d. Do not reject the null…In each part, we have given the value obtained for the test statistic, z, in a one-mean z-test.We have also specified whether the test is two tailed, left tailed, or right tailed. Determine the P-value in each case and decide whether, at the 5% significance level, the data provide sufficient evidence to reject the null hypothesis in favor of the alternative hypothesis. a. z = -1.25; left-tailed testb. z = 2.36; right-tailed testc. z = 1.83; two-tailed testThe coach of a very popular men’s basketball team claims that the average distance the fans travel to the campus to watch a game is 35 miles. The team members feel otherwise. A sample of 16 fans who travel to games was randomly selected and yielded a mean of M= 36 miles and s= 5 miles. Test the coach’s claim at the 5% (.05) level of significance. one-tailed or two-tailed test: State the hypotheses: df= tα or t value for the critical region = sM = t (test statistic)= Decision:
- Please indicate the dependent and independent variables in the following hypotheses. People with higher education are more prone to read books than people with less education. Independent variable: Dependent variable:Dr. Kijowski is concerned about student phone use, so she collects information on the number of text messages that each student sent on a particular day. The boxplot below shows the results. Based on the boxplot, which of the following is the most reasonable conclusion? a. There are more people with data values below the median than there are people with data values above the median. Selected:b. There are more people with data values between the first quartile and the median than there are people with data values between the median and the third quartile.This answer is incorrect. c. There are fewer people with data values between the first quartile and the median than there are people with data values between the median and the third quartile. d. There are approximately the same number of people with data values between the first quartile and the minimum as there are people with data values between the third quartile and the maximum. e. The data are less spread out between the…Suppose we have a case-control study that completes and yields a study OR = 4.5. If we were told the true OR in the population was actually 2.25 (we normally wouldn’t know this, but suppose hypothetically someone was able to know this and told us), this again means our study OR is biased. Is our study OR biased towards or away from the null? A)Away from the null. B)Towards the null.