Part 1

1. Test 2 variables (you choose 2) in the data set using the Chi-Square Goodness of Fit test. Assume an equal chance of all categories for each variable.
2. Write the research/alternative hypothesis and null hypothesis in words.
3. Compute and report effect size.
4. Report all results (significant and non-significant) in APA style.

Part 2

1. Test 2 variables (you choose 2) in the data set using the Chi-Square Test of Independence.
2. Write the research/alternative hypothesis and null hypothesis in words.
3. Compute and report effect size.
4. Report all results (significant and non-significant) in APA style.

jamovi - Hospital Data Variables Data Analyses Edit Add - Add - Paste Setup Compute Transform Delete Filters Delete Rows Clipboard Vanables co Smoker Weight Diabetic Cancer_Diagnosis Sex co Relationship Family_History Yes Underweight No Yes Female Divorced Low Risk 1 Yes Underweight No No 2 Female Married Low Risk Underweight No No 3 Female Married Low Risk No No Underweight No 4 Female Married Low Risk Underweight No No 5 Female Single Low Risk Yes No Yes Single Low Risk Yes Underweight 6 Male Yes Yes Yes Low Risk Underweight 7 Male Single Yes Underweight Yes No 8 Female Single Medium Risk Yes No 9 Female Married Medium Risk No Underweight Yes Underweight No No 10 Female Married Medium Risk Yes Underweight No No 11 Female Married Medium Risk Medium Risk Yes Underweight Yes No 12 Male Single No Underweight No No 13 Male Married Medium Risk Underweight Yes No 14 Male Single Medium Risk No Yes No 15 Male Married Medium Risk No Underweight Yes Normal Wei.. Yes No 16 Male Married Medium Risk Yes Normal Wei . Yes No 17 Male Single Medium Risk No Normal Wei... Yes Yes 18 Male Divorced Medium Risk Yes Normal Wei. Yes No 19 Female Married High Risk Divorced High Risk Yes Normal Wei.. Yes Yes 20 Female No Normal Wei. Yes No 21 Female Divorced High Risk Yes Normal Wei. Yes No 22 Male Single High Risk No Normal Wei. Yes No 23 Male Married High Risk Yes Married High Risk No Normal Wel. No 24 Male No Normal Wei.. Yes No 25 Male Married High Risk No Yes 26 Female Divorced LOW Risk Yes Normal Wei. Yes No 27 LOW Risk Normal Wei... No Female Divorced Low Risk No Normal Wei . . No No 28 Female Married No Normal Wei... Yes No 29 Female Married LOW Risk Normal Wei. No Yes 30 Male Single Low Risk No No Normal Wei. Yes Yes 31 Male Single LOW Risk No Yes Married Low Risk Normal Wei.. Yes 32 Male Ow Risk No Normal Wei. Yes Yes 33 Male Married Yes Yes 34 Male Low Risk No Normal Wei.. Married Low Risk No Normal Wei. Yes Yes 35 Male Married Yes Normal Wei... Yes Yes 36 Male Single Low Risk Yes Normal Wei. Yes No 37 Female Divorced Medium Risk Medium Risk Yes Normal Wei. Yes No 38 Female Single No Normal Wei... Yes No 39 Female Married Medium Risk No Yes 40 Female Divorced Medium Risk Normal Wei. Yes yes Normal Wei. No No 41 Male Married Medium Risk Ready Filters O Type here to search Vjamovi - Hospital Data Variables Data Analyses Edit Add Add - Delete Paste Setup Compute Transform Delete Filters Rows Clipboard Edit Variables Smoker Cancer Relationship Family_History Weight Diabetic Sex Medium Risk No Normal Wei... Yes No 39 Female Married No Normal Wei. Yes Yes 40 Female Divorced Medium Risk Yes Normal Wei... No No 41 Male Married Medium Risk Normal Wei... Yes No Single High Risk Yes 42 Female Yes Normal Wei.. No No 43 Female Married High Risk No Normal Wei... No No 44 Male Married High Risk NO Normal Wei... No No 45 Male Single High Risk Normal Wei... No No 46 Male Married High Risk Yes No No Married Low Risk Yes Overweight 47 Female Low Risk Yes Overweight No No 48 Female Single No Yes 49 Female Low Risk Overweight Divorced No No Overweight Yes No 50 Male Married Low Risk Overweight Yes Yes Divorced Low Risk Yes 51 Male Single Low Risk Yes Overweight Yes No 52 Male Overweight Yes No 53 Male Single Low Risk Yes Low Risk No Overweight Yes Yes 54 Male Married Yes Yes 55 Male Single Low Risk No Overweight Low Risk No Overweight Yes Yes 56 Male single No Overweight Yes Yes 57 Male Married Low Risk No Overweight Yes Yes 58 Male Married LOW Risk Low Risk Yes Overweight Yes Yes 59 Male Married Yes Yes 60 Female Divorced Medium Risk Yes Overweight Medium Risk Yes Overweight Yes No 61 Female Single Medium Risk Yes Overweight Yes No 62 Female Single Medium Risk Yes Overweight No No 63 Female Married 64 Female Married Medium Risk Yes Obese No No Yes No 65 Male Married Medium Risk No Obese No Married No 66 Male Medium Risk Obese No Medium Risk Yes Obese No No 67 Male Single 68 Male Divorced Medium Risk No Obese No Yes 69 Male Married Medium Risk No Obese Yes No No 70 Male Married Medium Risk Yes Obese No 71 Female Married High Risk Yes Obese No No High Risk Yes No No 72 Female Divorced Obese High Risk Yes Obese No No 73 Female Married 74 Female Married High Risk No Obes No No 75 Female Married High Risk Yes Obese Yes No Married High Risk Yes Obese Yes No 76 Female 77 Male Single High Risk No Obese No No 78 Male Married High Risk Yes Obese No No Low Risk Yes Obese No No 79 Female Single Ready Y Filters o Type here to search OF HOVjamovi - Hospital Data Variables Data Analyses Edit Add - Y Add Delete Delete Paste Setup compute Transform Filters ROWS Clipboard Edit Variables Smoker Weight Diabetic Cancer_Diagnosis Family_History Yes Obese NO NO to Sex Relationship High RISK No 72Female Divorced High Risk Yes Obese No 73 Female Married No Obese NO No Female Married High Risk High Risk Yes Obese Yes No 75 Female Married Yes Obese Yes No 76 Female Married High Risk Obese No No 77 Male Single High Risk No High Risk Yes Obese NO No 78 Male Married Low Risk Yes Obese No No 79 Female Single Yes Obese No No Female Married Low Risk Low Risk Yes Obese No No 81 Female Married Yes Obese No No No 82 Female Married Low Risk Yes Obese No Low Risk 83 Female Married yes Obese Yes Yes 84 Male Divorced Low Risk Low Risk No Obese Yes Yes 85 Male Married No Obese Yes Yes 86 Male Married Low Risk obese No No Married Medium Risk Yes 87 Female Yes Obese Yes Yes 88 Female Divorced Medium Risk Yes bese No No 89 Female Single Medium Risk Obese No Medium Risk Yes Yes 90 Female Married Yes No No Married Medium Risk 91 Female Yes obese Yes No 92 Female Married Medium Risk Yes bese Yes No 93 Female Married Medium Risk No bese Yes No 94 Male Married Medium Risk Obese No No Divorced Medium Risk No No obese No Yes 95 Male Divorced Medium Risk 96 Male Medium Risk No Obese Yes No 97 Male Single Yes Yes No Medium Risk Obese Obese Yes No 98 Male Single Medium Risk Yes Single Yes Obese Yes Yes 99 Male Divorced High Risk Obese Yes Yes 100 Female Divorced High Risk Yes 101 Female Yes Obese Yes No High Risk Obese Yes No 102 Female Single 103 Female Married High Risk Yes No Yes Divorced High Risk No No 104 Male No Married High Risk No 105 Male No Yes No 106 Male Married High Risk No Obese yes No No No 107 Male Married High Risk obese Yes Married High Risk 108 Male Obese No ives yes 109 Male Married High Risk Ready Filters 0