n the Pulse Data (pulse.xlsxDownload pulse.xlsx), individuals are randomly allocated to the group where they run and the group where they rest

• pulse1- each participants pulse rate at the start
• pulse2- each participants pulse rate after their 'treatment', ouroutcome variable
• ran- ourtreatment variablewith 1 for those that ran and 2 for those that rested
• smokes- identifies regualr smokers with 1 = yes and 2 = no
• sex- 1 = male, 2 = female
• height- in cms
• weight- in kgs
• activity- usual activity level from 1 = slight, 2 = moderate, 3 = high

We can use our Chi-Squared Test of Association to check for evidence of an association between a participant's activity level and their sex.

Based on your p-value you would

Group of answer choices

i got the P value is 0.65655

which one is answer

1

Reject the Null Hypothesis at the 10% level of significance and conclude there is evidence of an association between activity level and sex

2

Fail to reject the Null Hypothesis, no evidence of an association between activity level and sex

3

Reject the Null Hypothesis at the 5% level of significance and conclude there is evidence of an association between activity level and sex

4

Reject the Null Hypothesis at the 1% level of significance and conclude there is evidence of an association between activity level and sex

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