there a statistically significant difference in the mean blood pressure between the two groups? Give a reason for your answer.

INSTRUCTIONS TO CANDIDATES

ANSWER ALL QUESTIONS

Scenario:

To succeed in any industry that deals with a massive amount of data, you must possess analytic skills. As you interview for an entry-level position after receiving your undergraduate/graduate degree, let us say, you are given a series of four different analyses to conduct and interpret.

Objective:

Complete the tasks and corresponding questions given below. All of the datasets are on 4 different sheets (named as PROBLEM1, PROBLEM2, PROBLEM3 & PROBLEM4, respectively) within ONE Excel worksheet, titled Project3.xlsx.

The data will need to be imported into SAS prior to analysis. Some data have not been given to you in a format conducive to analysis and may need to be modified in order to conduct the appropriate such analysis.

Problem 1:

• The dataset contains 2 variables GROUP (two levels: BP_US and BP_FOREIGN) and BLOODPRESSURE, denoting blood pressures of individuals born within (BP_US) and outside (BP_FOREIGN) of the United States.

• You wish to determine whether or not there is a significant difference in mean blood pressures between the two groups.

• Conduct an independent samples t-test to make this determination. The data file for problem 1 has 10,000 observations (5000 observations for each level of GROUP).

Problem 2:

• A study is conducted on mice with a glioblastoma (brain tumor) to determine if a certain drug improves survival.

• The dataset has two variables: TREATMENT and DAYS_TO_DEATH. TREATMENT has 3 groups: CONTROL, TREAT_A (receives 100 mg of drug), and TREAT_B (receives 200mg of the drug).

• Use a one-way ANOVA to determine if there is a significant difference in survival among the three groups.

• If significant differences exist, use the Bonferroni test to determine specifically which pair of treatment groups differs. The data file for problem 2 has 300 observations (each group has 100 observations).

Problem 3:

• Assuming a causal relationship, can CALORIES intake be used to predict systolic blood pressure (SYSTOLIC_BP)? The data file for problem 3 has 200 observations.

• Use SAS to perform a simple linear regression analysis and obtain the regression line. Based on the PROC REG output,

Problem 4:

• There are two variables in the final dataset. The variable, BTHDEFECT equals 1 if a child was born with a birth defect and 0 if not.

• Likewise, the variable, PRETERM, equals 1 if a child was born premature and 0 if not.

• Perform a chi-square analysis to determine if there is an association between preterm birth and having a birth defect. The data file for problem 4 has 10,000 observations.

Answer the following questions and submit the Word document. Please type in your answer into this Word document and upload it..

PROBLEM 1:

1. Is there a statistically significant difference in the mean blood pressure between the two groups? Give a reason for your answer.

PROBLEM 2:

1. Does the variable, DAYS_TO_DEATH, have normal distribution for each level of the TREATMENT? Give reasons for your answer.

2. Is there a statistically significant differences in the mean days_to_death among the three groups? Give reason for your answer.

3. Which pair of the treatment groups differ statistically significantly? Use Bonferroni test.

PROBLEM 3:

1. Obtain the linear regression equation.

2. What percent of the variability observed in the systolic blood pressure scores can be accounted for by a linear relationship between systolic blood pressure and calorie intake?

3. Fill in the blank. As predicted by the model, for a 100-unit increase in calorie consumption, the mean systolic blood pressure .

(HINT: think about the change in mean systolic blood pressure for a 1-unit increase and multiply by 100)

4. Would you reject or fail to reject the null hypothesis that calorie intake is associated with systolic blood pressure? Why or why not?

PROBLEM 4:

1. Is there any “association between preterm birth and having a birth defect”?

Attachments:

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