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Consider the type of analysis (statistical test) that should be used to assess i

ID: 3260136 • Letter: C

Question

Consider the type of analysis (statistical test) that should be used to assess independence for the following data set and state why. When an analysis can be done by more than one test, always select the simplest test.

1.Whether a woman desires an additional child and the number of children she has who are now living categorized as none, one or two, and three or more.

Hint: the dependent variable is given first.

Select one:

a. Analysis of variance (ANOVA)

b. Chi-square

c. Regression

d. t-test

e. Logistic regression (Logit)

2. Blood pressure readings for a group of people before and after the initiation of a six-week program of exercise and diet.

Hints:

The independent variable here is time (before, after the exercise and diet program).

The dependent variable is given first.

Select one:

a. Logistic regression (Logit)

b. Analysis of variance (ANOVA)

c. t-test

d. Chi-square

e. Regression

3. Birth weight for newborns measured as low or normal in relation to the newborn’s gestational age, mother’s age and mother’s smoking status (smoker, non-smoker).   

Hints:

The independent variable here is time (before, after the exercise and diet program).

The dependent variable is given first.

Select one:

a. Chi-square

b. Logistic regression (Logit)

c. t-test

d. Regression

e. Analysis of variance (ANOVA)

Explanation / Answer

1) Logit regression

In statistics, logistic regression, or logit regression, or logit model[1] is a regression model where the dependent variable (DV) is categorical

here category is number of child

2)t -test

paired t-test can be used to check if there is difference in the Blood Pressure for a group of people before and after the initiation of a six-week program of exercise and diet.

3) regression

Multiple regression can be used to predict Birth weight for newborns measured as low or normal in relation to the newborn’s gestational age, mother’s age and mother’s smoking status (smoker, non-smoker).