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# We Helped With This R Programming Homework: Have A Similar One?

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Category Programming R | R Studio Undergraduate Solved Statistics And Probability Homework Help

## Short Assignment Requirements

Attached is word doc with problems and data is attached in excel

## Assignment Description

Objective

This exercise looks at categorical (qualitative) data where we have counts or frequencies of observations associated with levels of one categorical variable in the case of One-Way tables, and associated with levels of two categorical variables in the case of Two-Way tables.

We use the Chi-squared distribution to assess the goodness of fit and to test for statistical independence

Using R software perform an analysis using a sample of size 100 as specified in the problems below (1,2,3,and 4)  and must do an analysis using the entire dataset

Refer to the attached data(SMOKING)in Excel on smoking, alcohol consumption, blood pressure, and respiratory disease among1200 adults (SMOKING).

The variables are as follows:

Sex (A):  1 =male , 0 = Female

Smoking status (B) : 0 = Nonsmoker, 1= Smoker

Drinking level (C): 0= nondrinker, 1= Light to moderate drinker, 2= heavy drinker

Symptoms of respiratory disease (D) : 1 = present; 0 =  absent

High blood pressure status (E) : 1 = present; 0 =  absent

Problems

1)Select a simple random sample of size 100 from this population and carry out an analysis to see if you can conclude that there is a relationship between smoking status and symptoms of respiratory disease. Let α  = 0.05 and determine the p value for your test.

2) Select a simple random sample of size 100 from the population and carry out a

test to see if you can conclude that there is a relationship between drinking status and high blood

pressure status in the population. Let α  = 0.05 and determine the p value.

3) Select a simple random sample of size 100 from the population and carry out a test to see if you can conclude that there is a relationship between gender and smoking status in the population. Let α  = 0.05 and determine the p value.

4) Select a simple random sample of size 100 from the population and carry out a test to see if you can conclude that there is a relationship between gender and drinking level in the population. Let α  = 0.05 and find the p value.

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