Answer the following True or False: If a researcher wants to test the claim that more than 25% of all students purchased their textbook online, then the null and alternative hypotheses are Ho: u = 0.25 and Ha: u >'0.25. true O false
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- 2. When you performed null hypothesis tests using a z-test for one sample proportion, what kinds of inferences can you draw about a past population's growth rate if you rejected the null hypothesis that the population proportion was 0.16?Is there a difference between men and women when it comes to seeking preventative healthcare? At the a = 0.01 level of significance, test the claim that the proportion of those who have had a wellness visit with their physician in the past year is the same for men and women. Let pp represent the proportion of females who have had a wellness visit with their physician in the past year and pM represent the proportion of males who have done the same. Which would be correct hypotheses for this test? O Ho:PF = PM, H1:PF > PM O Ho:PF + PM, H1:PF > PM O Ho:PF = pM, H1:pF < pM O Ho:PF = PM, H1:PF # PM In a random sample of 331 females, 306 have had a wellness visit with their physician in the past year. In a random sample of 272 males, 237 have had a wellness visit with their physician in the past year. Find the test statistic (2 decimal places): Give the P-value (4 decimal places - if less than 0.001 answer 0): Which is the correct result: O Reject the Null Hypothesis O Do not Reject the Null…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 320 community college students at random and finds that 135 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. This is an example of a hypothesis test. 2. Find the standard error. 3. Find the z value. 4. Find the p-value. 5. The communication professor should the null hypothesis.
- A recent study of 1000 high school juniors and seniors asked whether or not they felt smartphones are a valuable learning tool. Additional data were gathered on their smartphone plan (unlimited data, additional texting, or standard voice plan) and which class they were in (junior vs. senior). Which of the following is a correct pair of hypotheses the researchers could test? (A) Ho: The proportion of juniors and seniors who feel smartphones are a valuable learning tool is the same for students that have each type of plan. Ha: The proportion of juniors and seniors who feel smartphones are a valuable learning tool is not the same for students that have each type of plan (B) Ho: The proportion of students who feel smartphones are a valuable learning tool is the same for students that have each type of plan. Ha: The proportion of students who feel smartphones are a valuable learning tool is not the same for students that have each type of plan. (C) Ho: There is an association between class…You have determined that in the past three years there 7 of the 14 were hand injuries. Previous projections had indicated that under normal conditions, only four hand injuries were expected and 12 other injuries were expected. The remaining injuries were due to other causes. Calculate the chi-square value and discuss whether there was a significant difference in observed data vs. the expected data. Also discuss how the process of hypothesis testing might prove helpful o = 7 hand injuries and 7 other injuriese = 4 expected hand injuries and 12 other injuries2. A study was conducted to examine the difference between the older and younger adult teachers on perceived life satisfaction. A pilot study was conducted to examine this hypothesis. Ten older adults (over the age of 50) and ten younger adults (between 20 and 40) were given a life satisfaction test (known to have high reliability and validity). Scores on the measure range from 0 to 60 with high scores indicative of high life satisfaction, low scores indicative of low life satisfaction. Result of the analysis is presented below. Older Adults Younger Adults Мean 44.5 28.1 Variance 75.38888889 72.98888889 Observations Hypothesized Mean Difference 10 10 df 18 x Stat P(X<=x) one-tail Critical one-tail P(X<=x) two-tail 4.257546666 0.000236832 1.734063607 0.000473663 x Critical two-tail 2.10092204 5. Is there a significant difference between the two groups? 6. Make a writeup of the result using APA format
- Previously, 10.4% of workers had a travel time to work of more than 60 minutes. An urban economist believes that the percentage has increased since then. She randomly selects 75 workers and finds that 16 of them have a travel time to work that is more than 60 minutes. Test the economist's belief at the a = 0.1 level of significance. What are the null and alternative hypotheses? 0.104 versus H1: p Ho: p P = (Type integers or decimals. Do not round.) > 0.104 %3D Because npo (1- Po) 10, the normal model be used to approximate the P-value. %3D (Round to one decimal place as needed.)Suppose are running a study/poll about the accuracy rate for fingerprint identification. You randomly sample 75 people and find that 62 of them match the condition you are testing. Suppose you are have the following null and alternative hypotheses for a test you are running:H0:p=0.78H0:p=0.78Ha:p≠0.78Ha:p≠0.78 Calculate the test statistic, rounded to 3 decimal places. z=According to the Centers of Disease Control, about 22% of American young people between the ages of 12 and 19 are obese.A student claims that the students in his local schools are in better shape than the national average, so their proportion of obese students is less than 22%. Which are the appropriate null and alternative hypotheses for this study? H0: p = 22%, HA: p < 22% H0: p ≠ 0, HA: p = 0 H0: p = 22%, HA: p > 22% H0: p = 22%, HA: p ≠ 22% Suppose that the result is to Fail to reject H0.Which is the proper conclusion? There is sufficient evidence to support the claim that the students at his local schools have a smaller proportion of obese students. There is not enough information to answer this question. There is not sufficient evidence to support the claim that the students at his local schools have a smaller proportion of obese students.
- A researcher wants to determine if there is a significant difference in the number of times a new treatment for a medical condition results in relief from symptoms compared to the standard treatment. They randomly assign 20 patients to receive the new treatment and 20 to receive the standard treatment, and record the number of times each patient experienced relief from symptoms in a given period of time. The researcher uses the Wilcoxon Signed-Ranks Test to analyze the data. What is the null hypothesis for this test?In a survey of 1120 new college graduates 281 had a professional job on graduation day. One year ago the proportion of graduates with a professional job on graduation day was .24 or 24%. The setup of the null and alternative hypotheses to test whether there is sufficient evidence to conclude that the proportion of graduates with a professional job is higher now than it was one year ago is: (a) Ho :p= .24 vs. H1 : p .24 (d) Ho : p = .25 vs. H1 : p .24 The value of the test statistic is: (а) 2.109 (b) .011 (c) .841 (d) 28.141 (е) .854A December 2017 Gallup Poll reported that 43% of Americans use the internet for an hour or more each day. You suspect that a greater proportion of students at your school use the internet that much. You take a random sample of 60 students and find that 36 of them use the internet for an hour or more each day. Assume your school has more than 600 students. You will test the hypotheses H, : p = 0.43, H,:p>0.43 , where p= the true proportion of students at your school who use the internet for an hour or more each day. Which of the following gives the correct test statistic for this test? 0.43 - 0.6 Z = (0.6)(0.4) 60 0.43-0.6 (0.6)(0.4) 600 0.6-0.43 (0.6)(0.4) 60 0.6 - 0.43 (0.43)(0.57) 60 36 - 60 (36)(24) 60