**Text Transcription for Educational Website**Perform a two-tailed test. Then complete the parts below.Carry your intermediate computations to three or more decimal places and round your answers as specified in the parts below. (If necessary, consult a list of formulas.)(a) State the null hypothesis \( H_0 \) and the alternative hypothesis \( H_1 \).\( H_0: \) [ ]\( H_1: \) [ ](b) Determine the type of test statistic to use.(Choose one) [ ](c) Find the value of the test statistic. (Round to three or more decimal places.)[ ](d) Find the critical value at the 0.10 level of significance. (Round to three or more decimal places.)[ ](e) Can we conclude that the proportion of mall shoppers in my market category who would buy a subscription is less than the proportion in Ivanna's market category who would?[ ] Yes [ ] No---**Graphical Elements Description**There is a panel on the right displaying symbols often used in statistics, such as μ (mu), σ (sigma), and P. There are also icons representing various types of inequalities and tests (e.g., greater than, less than, equal, not equal). These symbols are likely meant to assist in completing the hypothesis and test statistic selection tasks. **Hypothesis Testing Exercise on Yoga App Subscription**In this exercise, we explore a scenario where a market research study was conducted to determine interest in a yoga app subscription. The study compares the subscription likelihood between two groups of mall shoppers: those with a gym membership and those without.### ScenarioWhile shopping, you were interviewed to assess your interest in a yoga app. You belong to the group of individuals with a gym membership. A friend without a gym membership, Ivanna, was also part of the study. Results showed:- In your group (98 people): 17 expressed interest in subscribing.- In Ivanna’s group (120 people): 26 expressed interest in subscribing.### ObjectiveDetermine whether the proportion of people in your market category who would buy a subscription (p₁) is less than in Ivanna's category (p₂) using a significance level of 0.10.### Tasks**(a) State the Hypotheses**- **Null Hypothesis (H₀):** p₁ ≥ p₂- **Alternative Hypothesis (H₁):** p₁ < p₂**(b) Choose the Test Statistic**- Choose an appropriate test statistic from provided options.**(c) Calculate the Test Statistic**- Compute based on the given data.**Diagrams**The image includes a hypothesis testing setup table with slots to fill the hypotheses, choose the test statistic type, and calculate the test statistic value. There is also a control panel offering statistical symbols for selections needed in calculations.Note: Ensure all calculations are rounded to three or more decimal places as part of standard procedure.

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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Only answer 4 and 5, thank you Use the SPSS information on the following pages to complete your analysis and paper. Respond to the following in your paper. 1. The two variables for this study are age and consumer sense of entitlement. Which one is the independent variable? Which one is the dependent variable? 2. What are the null hypothesis and the alternate hypothesis for this study? 3. What is the R2 for this study? What does the R2 value mean? Be specific to this study in your explanation of the meaning of the R2 value. 4. What is the regression equation for this study? 5. What is the finding for this study, using a significance level of p < .10? What implications does this finding have on marketing? SPSS Regression Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Ageb . Enter a. Dependent Variable: Entitlement b. All requested variables entered. Model Summary Model R R Square Adjusted R…
Bonus Problem: For each situation, decide whether the null hypothesis should be rejected. (a) α = 0.01, P-value = 0.047, (b) α = 0.01, P-value = 0.15.
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You are conducting a multinomial hypothesis test (α= 0.05) for the claim that all 5 categories are equally likely to be selected. Complete the table. Category ObservedFrequency ExpectedFrequency A 17 B 22 C 11 D 13 E 17 Report all answers accurate to three decimal places. But retain unrounded numbers for future calculations.What is the chi-square test-statistic for this data? (Report answer accurate to three decimal places, and remember to use the unrounded Pearson residuals in your calculations.)χ2= What are the degrees of freedom for this test?d.f.= What is the p-value for this sample? (Report answer accurate to four decimal places.)p-value = Is the p-value less than αα? yes no This test statistic leads to a decision to... reject the null accept the null fail to reject the null accept the alternative As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that all 5 categories are equally likely to…
A teacher has a large container of blue, red, and green beads. She reports to the students that the proportion of blue beads in the container is 0.30. The students feel the proportion of blue beads is lower than 0.30. A student randomly selects 60 beads and finds that 12 of the beads are blue. The P-value for the test of the hypotheses, H,: p = 0.30 and H,i p < 0.30, is 0.045. What is the correct conclusion given a = 0.05? Because the P-value is less than a = 0.05, the student should reject Ho- Because the P-value is less than a = 0.05, the student should fail to reject Ho. Because the P-value is greater than a = 0.05, the student should reject Ho. O Because the P.value is greater than a = 0.05, the student should fail to reject Ho.
Based on advancements in drug therapy, a pharmaceutical company is developing Resithan, a new treatment for depression. A medical researcher for the company is studying the effectiveness of Resithan as compared to their existing drug, Exemor. A random sample of 458 depressed individuals is selected and treated with Resithan, and 206 find relief from their depression. A random sample of 429 depressed individuals is independently selected from the first sample and treated with Exemor, and 179 find relief from their depression. Based on the medical researcher's study can we conclude, at the 0.05 level of significance, that the proportion P, of all depressed individuals taking Resithan who find relief from depression is greater than the proportion P₂ of all depressed individuals taking Exemor who find relief from depression? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified in…
A personal computer manufacturer is interested in comparing assembly times for two keyboard assembly processes. Assembly times can vary considerably from worker to worker, and the company decides to eliminate this effect by selecting a random sample of 12 workers and timing each worker on each assembly process. Half of the workers are chosen at random to use Process 1 first, and the rest use Process 2 first. For each worker and each process, the assembly time (in minutes) is recorded, as shown in the table below. Worker 1 2 3 4 5 6. 7 8. 9. 10 11 12 Process 1 85 63 46 85 83 70 64 51 48 69 67 52 Process 2 88 46 43 61 80 51 59 53 23 46 59 52 Difference - 3 17 3 24 19 5 -2 25 23 8 (Process 1 - Process 2) Send data to calculator Based on these data, can the company conclude, at the 0.05 level of significance, that the mean assembly times for the two processes differ? Answer this question by performing a hypothesis test regarding u, (which is with a letter "d" subscript), the population…
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H1: This is a homework question. I chose a Null Hypothesis that is equal to the Alternative because the professor is comparing the two formats. Is my reasoning correct? Would this be a directional question? A statistics professor is interested in finding out whether students perform better on exams if they are conducted in the classroom or online. He compares the final exam scores of his online statistics class with the exam scores of his in-person class. What is the null hypothesis for this scenario? Null Hypothesis: final exam scores in class = final exam scores online Alternative Hypothesis: final exam scores in class is NOT Equal to final exam scores online
You watch people exiting Dodgers stadium after a game and you write down the number of males and the number of females that exit the stadium past you during the 20 minutes that you spend watching. You assumed that there would be a perfectly equal number of males and females attending a Dodgers game, but you look at the number of males and females that you actually counted, and you see if you still think that is actually true. What kind of hypothesis test would allow you to do this? a. One-Factor, Independent-Measures ANOVA b. Two-Factor ANOVA c. Correlation/Regression d. Chi-Square Goodness of Fit

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