Inference about Proportions Application Assignment Problem 1: Download the edu_smoke.sav data set and
Inference about Proportions Application Assignment
Problem 1:
Download the edu_smoke.sav data set and use it to complete the following calculations using SPSS:
(1) Estimate the prevalence of smoking in the population.
(2) Estimate the prevalence of smoking in the four groups with different education levels.
(3) Test if the prevalence of smoking in Group 2 is different from 0.16 (Hint: You need to select the Group 2 only by using the Select Cases function in the Data menu.)
- Week 8 Data Set: edu_smoke.sav
P roblem 2: Using information from the edu_smoke.sav data set, construct a 95% confidence interval for the smoking prevalence of the whole population using the plus-four method.
Cross Tabulated Counts Application Assignment
Problem 1:
Download the bd1.sav data set and use it to complete the following calculations using SPSS:
(1) Test the association between smoking and esophageal cancer using SPSS.
(2) Test the association between the dichotomized smoking variable and esophageal cancer using SPSS.
- Week 9 Data Set: bd1.sav
Problem 2: Using information from the bd1.sav data set, calculate the odds ratio estimate and its 95% confidence interval by using the formula on page 438 of Chapter 18.
C
orrelation and Regression Application Assignment
Problem 1:
Complete Exercise 14.1 items (a) through (e) found on page 308 of the textbook.
Problem 2:
Download the data set
na-bp.sav
and use it to complete the following calculations in SPSS:
(1) Produce the scatter plot for sodium and bp. Do you think there are any outliers?
(2) Fit a linear regression model for bp against sodium. Do you think this is a model with a good fit? Why?
(3) Based on the results of #2, is sodium a significant predictor for blood pressure (bp)? Why?
Week 10 Data Set: na-bp.sav .
ANOVA Application Assignment
Problem 1:
Download and use the data set smok_bw.sav to complete the following calculations in SPSS:
(1) Use SPSS Descriptive Statistics/Explore to produce descriptive statistics for the birth weights in four groups.
(2) Produce an ANOVA analysis for comparing the mean birth weights in the four groups which includes checking for homogeneity of variance, checking normality of the data and post-hoc comparison using the LSD and Bonferroni methods.
- Week 11 Data Set: smok_bw.sav
Multilinear Regression Model Application Assignment .
Textbook Assignment
Problem 1:
Complete Exercise 15.1 found on page 348 in the textbook. (I would fax you the pages)
Deliverable: Word Document
