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Book/movie review
22/08/2022
Given the following information, use Table B.4 (which is right above) to determine whether the
1 .9877 .9995 1 .9969 .9999
2 .9000 .9800 2 .9500 .9900
3 .8054 .9343 3 .8783 .9587
4 .7293 .8822 4 .8114 .9172
5 .6694 .832 5 .7545 .8745
6 .6215 .7887 6 .7067 .8343
7 .5822 .7498 7 .6664 .7977
8 .5494 .7155 8 .6319 .7646
9 .5214 .6851 9 .6021 .7348
10 .4973 .6581 10 .5760 .7079
11 .4762 .6339 11 .5529 .6835
12 .4575 .6120 12 .5324 .6614
13 .4409 .5923 13 .5139 .6411
14 .4259 .5742 14 .4973 .6226
15 .412 .5577 15 .4821 .6055
16 .4000 .5425 16 .4683 .5897
17 .3887 .5285 17 .4555 .5751
18 .3783 .5155 18 .4438 .5614
19 .3687 .5034 19 .4329 .5487
20 .3598 .4921 20 .4227 .5368
25 .3233 .4451 25 .3809 .4869
30 .2960 .4093 30 .3494 .4487
35 .2746 .3810 35 .3246 .4182
40 .2573 .3578 40 .3044 .3932
45 .2428 .3384 45 .2875 .3721
50 .2306 .3218 50 .2732 .3541
60 .2108 .2948 60 .2500 .3248
70 .1954 .2737 70 .2319 .3017
80 .1829 .2565 80 .2172 .2830
90 .1726 .2422 90 .2050 .2673
100 .1638 .2301 100 .1946 .2540
1. Given the following information, use Table B.4 (which is right above) to determine whether the correlations are significant and how you would interpret the results.
2. A study was completed that examined the relationship between coffee consumption and level of stress for a group of 50 undergraduates. The correlation was .373, and it was a two-tailed test, done at the .01 level of significance. First, is the correlation significant? Second, what’s wrong with the following statement? “As a result of the data collected in this study and our rigorous analyses, we have concluded that if you drink less coffee, you will experience less stress.”
3. Use the following set of data to answer the following questions.
4. Monica is interested in predicting how many 75-year-olds will develop Alzheimer’s disease and is using as predictors level of education and general physical health graded on a scale from 1 to 10. But she is interested in using other predictor variables as well. Answer the following questions.
5. Peter was curious to know if the average number of games won in a year predicts Super Bowl performance (win or lose). The X variable was the average number of games won during the past 10 seasons. The Y variable was whether the team ever won the Super Bowl during the past 10 seasons. Here are the data:
6. Now for multiple predictor variables. Take a look at the data below with the outcome being a great chef. We suspect that variables such as number of years of experience cooking, level of formal culinary education, and number of different positions (sous chef, pasta station, etc.) all contribute to rankings or scores on the Great Chef Test.
The writer is very fast, professional and responded to the review request fast also. Thank you.
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