2 i). How would you create the ideal experiment to test whether college students taking a course in multiple regression perform better in the job market than those that do not? ii). As no ideal experiment is likely possible, how would you best test this hypothesis with data?
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- You come across Professor Cafferty's data set from his Master's thesis and realize that he has data on types of family support that 26 homosexual men had during young adulthood (about 18-25 years old). You come across two questions where the respondent was asked if they would identify their family as religious and whether or not they received financial support from their family. Please complete the appropriate 8-step hypothesis test using the data below. Had Financial Support Did Not Have Financial Support Family Religious 3 12 Family Not Religious 6 5Looking at youth depression scores from a general sample of random children in the US, we want to determine if our sample is significantly different than the national average of scores of children with depression in the US. The national average of scores on a measure of depression is 5 points. We have no reason to assume it will be higher or lower than the US national average. The sample: 11 9 12 3 3 4 13 1. What is the null and alternative hypotheses? Do not specify any directionality. 2. What did you discover (using 95% Cl)? Provide an interpretation.A hypothesis test on a regression coefficient fails to reject the null hypothesis at the 5% significance level. This means:
- (e) If the researcher decides to test this hypothesis at the x = 0.05 level of significance, will the researcher reject the null hypothesis? Yes O NoResearch by Harvard Medical School experts suggests that boys are more likely to grow out of childhood asthma when they hit their teenage years. Scientists followed over 1000 children between ages of 5 and 12, all of whom had mild to moderate asthma. By the age of 18, 14% of girls and 27% of boys seems to have grown out of asthma. Suppose their analysis was based on 500 girls and 500 boys.(a) Do the hypothesis testing at 5% level of significance to test whether the proportion of boys who grow out of asthma in their teenage years is more than that of girls.(b) Find beta(0.30, 0.15)Consider a within-subjects experimental design with two conditions. The experimenter ran both a correlated t test (which is the correct analysis) and (incorrectly) an independent-groups t test. The experimenter found the correlated t test was significant whereas the independent-groups t test was not. The experimenter concluded that this was because the mean difference score across subjects was greater than the difference between the means of the conditions. Is this the correct conclusion? yes no
- Three students, an athlete, a fraternity member, and an honors student, record the number of hours they slept each night for 20 nights. O JMP Applet imp ? Oneway Analysis of Sleep Hours By Student Oneway Analysis of Sleep Hours By Student 10 Oneway Anova 14 Summary of Fit 12 Rsquare 0.024506 10- Adj Rsquare Root Mean Square Error Mean of Response Observations (or Sum Wgts) -0.00072 1.99517 7.7 60 Analysis of Variance Sum of Mean F Prob > Source DF Squares Square Ratio F 2 Athiete Frat Honors Student 2 5.70000 2.85000 0.7180 0.4931 Student Error 57 226.90000 3.98070 C. Total 59 232.60000 Oneway Anova Means for Oneway Anova Std Lower Upper 95% Summary of Fit Level Number Mean Error 95% Athlete 20 8.10000 0.44813 7.2086 8.9934 Rsquare 0.024506 Frat 20 7.65000 0.44813 6.7588 8.5434 Adj Rsquare Root Mean Square Error Mean of Response Observations (or Sum Wgts) -0.00972 Honors 20 7.35000 0.44813 6.4586 8.2434 1.99517 Std Error uses a pooled estimate of error variance 7.7 60 Analysis of…8 i). How would you create the ideal experiment to test whether college students taking a course in multiple regression perform better in the job market than those that do not? ii). As no ideal experiment is likely possible, how would you best test this hypothesis with data?A professor notices that more and more students are using their laptop computers in class to take notes. He wonders if this may improve academic success. To test this, the professor records the number of times each student uses his or her laptop during a class for one semester (Laptop) and the final grade in the class out of 100 points (Grade). The professor wants to conduct a hypothesis test to test whether or not there is a significant relationship between Laptop and Grade at the .05 level of significance. Laptop Grade 30 86 23 88 6 94 0 56 24 78 36 72 10 80 0 90 0 82 8 60 12 84 18 74 0 78 32 66 36 54 12 98 8 81 18 74 22 70 38 90 5 85 29 93 26 67 10 80 Using excel, create a scatterplot and interpret. Does it seem to suggest there is a relationship? Write the null hypothesis and alternative hypothesis in symbols Using excel, obtain the correlation coefficient and report the output for the hypothesis test. Make a decision about…
- what is the p value? is the p-value low? can we conclude?Your elderly grandfather prefers to ride the city bus, and many of his friends do as well. However, you also notice that many elderly people use rideshare apps like Lyft and Uber. You want to know whether elderly people are more likely to use the bus, or rideshare apps for transportation, but you notice that there’s no published data suggesting an answer. You create a one-way chi square analysis and recruit 130 participants for your sample. What is the expected frequency for the number of elderly people in your sample who prefer the bus?Takeout Food A magazine article reported that 14% of adults buy takeout food every day. A fast-food restaurant owner surveyed 180 customers and found that 31 said that they purchased takeout food every day. At a=0.01, is there evidence to believe the article's claim? Use the critical value method with tables. Part 1 of 5 (a) State the hypotheses and identify the claim. This hy is a two-tailed V test. Part (b th e critical vaiue, separate them with co Critic Part: 2 / 5 Part 3 of 5 (c) Compute the test value. Always round z score values to at least two decimal places. z=