cmccd.instructure.com Software Update macOS Ventura 13.6 .7 is available and wil Quizzes 2 be install-athater tonight \( 02: 23: 06 \) Time Remaining Updates Available Do you want to restart to instalilites? Dopdates now or try tonight? Conclusion: We fail to reject the null! 11 0 points Five students took a math test before and after tutoring. Their scores were as follows. \begin{tabular}{|c|c|c|c|c|c|c|} \hline Subject & \( \cdot \) & A & B & C & D & \( \mathrm{E} \) \\ \hline Before & & 71 & 66 & 67 & 77 & 75 \\ \hline After & & 75 & 75 & 65 & 80 & 87 \\ \hline \end{tabular} Using a 0.01 level of significance, test the claim that the tutoring has an effect on the math scores. Use the traditional (critical value) method of testing hypotheses. Provide all of the information asked for. Null Hypothesis: mubefore \( = \) muafter Alternate Hypothesis: type your answer... Test Statistic: type your answer... Critical Value(s): type your answer... and type your answer... Conclusion: type your answer... 12 0 points Listed below are departure delay times (minutes) for American Airline flights from New York to Los Angeles. Negative values correspond to flights that departed early. Use a 0.05 significance level to test the claim that the different flights have the same mean departure delay time. What notable feature of the data can be identified by visually examining the data?
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Homework: Module 7- Fundamental of Hypothesis Testing & Hypo Score: 0.33 of 1 pt 11.2.36 The data table below contains the amounts that a sample of nine customers spent for lunch (in dollars) at a fast-food restaurant. Complete parts (a) through (d). 4.20 5.08 5.75 6.47 7.24 7.47 8.43 8.58 9.84 a. At the 0.10 level of significance, is there evidence that the mean amount spent for lunch is different from $6.50? State the null and alternative hypotheses. H0: μ = 6.50 H1: μ ≠ 6.50 (Type integers or decimals. Do not include the $ symbol in your answer.) Identify the critical value(s). The critical value(s) is(are) - 1.8595, 1.8595. (Round to four decimal places as needed. Use a comma to separate answers as needed.) Determine the test statistic. The test statistic is (Round to four decimal places as needed.) Enter your answer in the answer box and then click Check Answer.
Sri K.
43 college students 44% male, 56% female Students reported on the number of hours spent studying per week (0-40 hours), their life satisfaction (scale from 0-100), degree of stress they experienced over the last month (scale 0-5), and completed an IQ test (40-160). Students also reported their gender (1=male, 2=female) and cumulative GPA. For each of the statistical analyses (5 total) performed, you need to provide responses to two questions: What type of statistical analysis was used to examine what kind of research question? What did the statistical analysis reveal? Write down your conclusion in APA Style SPSS Output: Statistical Analysis Group Statistics Gender N Mean Std. Deviation Std. Error Mean Life satisfaction 1 Male 20 75.55 18.472 4.130 2 Female 25 82.84 15.630 3.126 Life satisfaction F Sig. t df Sig. (2-tailed) Equal variances assumed 2.222 .143 -1.434 43 .159 Equal variances not assumed -1.407 37.309 .168
A certain test preparation course is designed to improve students' SAT Math scores. The students who took the prep course have a mean SAT Math score of 526, while the students who did not take the prep course have a mean SAT Math score of 515. Assume that the population standard deviation of the SAT Math scores for students who took the prep course is 44.6 and for students who did not take the prep course is 45.2. The SAT Math scores are taken for a sample of 75 students who took the prep course and a sample of 90 students who did not take the prep course. Conduct a hypothesis test of the claim that the SAT Math scores for students who took the prep course is higher than the SAT Math scores for students who did not take the prep course. Let μ1 be the true mean SAT Math score for students who took the prep course and μ2 be the true mean SAT Math score for students who did not take the prep course. Use a 0.01 level of significance. Step 1 of 5 : State the null and alternative hypotheses for the test. Step 2 of 5 : Compute the value of the test statistic. Round your answer to two decimal places. Step 3 of 5 : Find the p-value associated with the test statistic. Round your answer to four decimal places. Step 4 of 5 : Make the decision for the hypothesis test: Reject Null Hypothesis or Fail to Reject Null Hypothesis Step 5 of 5 : State the conclusion of the hypothesis test: There is sufficient evidence to support the claim or There is not sufficient evidence to support the claim.
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