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jamovi - senior (11) X E Data Analyses .. . Exploration T-Tests ANOVA Regression Frequencies Factor Modules BMXWAIST ID Age Gender Education Height - 93.7 73567 65 2 100.3 73615 65 IN W N 86.3 73692 65 W 81.3 74205 65 UT 105.2 74536 65 110.2 74661 65 96.3 75207 65 8 94.1 75222 65 132.3 75781 65 10 100.6 75922 65 11 115.1 75973 65 12 104.0 76312 65 13 105.1 76335 65 - N - N N N N - N - N - N-J M U N A A U W A U W U A UI UAW 14 96.0 76666 65 15 107.8 76889 65 16 70.6 77023 65 17 75.4 77223 65 18 93.0 77284 65 19 92.9 77524 65 20 122.5 77529 65 21 111.1 77562 65 22 111.1 77733 65 23 79.9 77802 65 N N Ready 7 Filters 0 Row count 69 Filtered 0 Deleted 0 Added 0 Cells edited 0 Type here to search O W 3:22 AM ENG 2021-03-31jamovi - senior (11) X E Data Analyses .. . Exploration T-Tests ANOVA Regression Frequencies Factor Modules BMXWAIST ID Age Gender Education Height 21 111.1 77562 65 2 22 111.1 77733 65 1 23 79.9 77802 65 IN - N 24 105.7 77983 65 25 113.9 78019 65 26 98.0 78297 65 27 104.4 78376 65 W - NN 28 98.0 78630 65 29 114.3 78757 65 30 101.1 78853 65 31 118.0 79042 65 - - N- N- 32 66.5 79165 65 33 123.6 79267 65 NAWWAUA 34 98.6 79586 65 35 127.5 79812 65 36 91.5 80067 65 - - 37 114.7 80091 65 38 82.7 80092 65 WA 39 106.7 80120 65 - NN 40 102.5 80136 65 41 109.2 80165 65 80537 65 UI N N 42 89.3 - - N 43 96.0 80858 65 Ready 7 Filters 0 Row count 69 Filtered 0 Deleted 0 Added 0 Cells edited 0 Type here to search O W 3:22 AM ENG 2021-03-31jamovi - senior (11) X E Data Analyses .. . Exploration T-Tests ANOVA Regression Frequencies Factor Modules BMXWAIST ID Age Gender Education Height 47 T18.5 81204 65 N 3 48 88.3 81226 65 4 49 86.4 81228 65 IN 50 79.5 81343 65 IN 51 95.7 81368 65 52 92.2 81409 65 UI W W -NNN 53 93.8 81429 65 54 92.3 81601 65 55 119.2 81622 65 56 103.9 81671 65 57 83.7 81820 65 58 82.9 82351 65 -NON- - - N 59 104.3 82384 65 60 90.9 82402 65 - A W U N N U U N W - WU 61 104.3 82547 65 62 89.5 82740 65 63 106.2 82951 65 64 71.2 83116 65 65 84.0 83187 65 N N N N - N N- 66 100.2 83272 65 67 87.9 83326 65 68 86.4 83456 65 IN 69 126.6 83576 65 Ready 7 Filters 0 Row count 69 Filtered 0 Deleted 0 Added 0 Cells edited 0 Type here to search O W 3:22 AM ENG 2021-03-31TDtal: 13 Lab Assignments 9 Part 1 - Using the 'Senior' data: - Create a new variable hypertension by grouping Systbp into >140 mmHg (hypertension=1) and 514' mmHg (hypertension=0). After creating the hypertension variable, test the claim if the proportion of hypertension among seniors aged 65 is different from 30%? a) Provide coding used to create the hypertension variable b) Provide hypotheses 0) Check and comment on assumption for normal approximation. Provide all appropriate results to support your decision for assumption d) Based on your assumption check, which test is appropriate to use? (Hint: Nomal approximation or binomial approach?) e) Using the method your decided in (d), provide proportion, 95% Cl, and p-values 'f) State your conclusion using both p-value method and 95% CI method if appropriate. Provide a concluding statement for the research question. Provide appropriate descriptive results tojustify your answer. jamovi - senior (11) X E Data Analyses .. . Exploration T-Tests ANOVA Regression Frequencies Factor Modules BMXWAIST ID Age Gender Education Height 37 14.7 8009T 65 2 38 82.7 80092 65 IN 4 39 106.7 80120 65 I W - N 40 102.5 80136 65 w 41 109.2 80165 65 IN - N 42 89.3 80537 65 IN 43 96.0 80858 65 44 98.5 80890 65 45 79.0 80929 65 46 103.4 80934 65 - N - NN. 47 118.5 81204 65 48 88.3 81226 65 49 86.4 81228 65 - W U U W W U U A W - W AU 50 79.5 81343 65 51 95.7 81368 65 52 92.2 81409 65 53 93.8 81429 65 - - N - NN N N N 54 92.3 81601 65 55 119.2 81622 65 56 103.9 81671 65 57 83.7 81820 65 W 58 82.9 82351 65 N - UN 59 104.3 82384 65 Ready 7 Filters 0 Row count 69 Filtered 0 Deleted 0 Added 0 Cells edited 0 Type here to search O W V 3:27 AM ENG 2021-03-31
