A telephone survey uses a random digit dialing machine to call subjects. The random digit dialing machine
Problem: A telephone survey uses a random digit dialing machine to call subjects. The random digit dialing machine is expected to reach a life person 15% of the time. In eight attempts, what is the probability of achieving exactly two successive calls?
Problem 2: Complete Exercise 6.8 Telephone Survey in Chapter 6. This is a continuation of the problem begun in 6.5. Be sure to answer questions (a) and (b).
- What is the expected value and variance for the number of contacts in eight attempts?
- What is the expected value and variance for 50 attempts?
Problem 1: Complete Exercise 7.5: Heights of 10-year-old boys in Chapter 7. Be sure to answer questions (a), (b), and (c).
Problem 2: Open the alcohol.sav data. Determine if the distribution of age is close to a Normal distribution using SPSS.
Data Set: alcohol.sav data
Problem 1: Complete Exercise 8.3: Parameter or statistic? in Chapter 8. Be sure to answer questions (a), (b), and (c).
Problem 2: Download the data set body-weight.sav. Calculate a 95% CI for weight using SPSS. Download the data set by clicking the link below.
Data Set: body-weight.sav data
Problem 1: Download the edu_smoke.sav data set and use it to complete the following calculations using SPSS:
- Estimate the prevalence of smoking in the population.
- Estimate the prevalence of smoking in the five groups with different education levels.
- Test if the prevalence of smoking in Group 2 educational level is different from 0.16 (Hint: You need to select the Group 2 educational level only by using the Select Cases function in the Data menu.)
Data Set: edu_smoke.sav
Problem 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. Refer to this week’s video program "Statistical Inference for Proportions" with Dr. Ji and the lecture notes provided in this week's Resources for an example of how to complete this calculation by hand. (Access this video from the main menu of the course DVD.)
Problem 1: Download the bd1.sav data set and use it to complete the following calculations using SPSS:
- Test the association between smoking and esophageal cancer using SPSS.
- Test the association between the dichotomized smoking variable and esophageal cancer using SPSS.
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.
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:
- Produce the scatter plot for sodium and bp. Do you think there are any outliers?
- Fit a linear regression model for bp against sodium. Do you think this is a model with a good fit? Why?
- Based on the results of #2, is sodium a significant predictor for blood pressure (bp)? Why?
Data Set: na-bp.sav
Problem 1: Download and use the data set smok_bw.sav to complete the following calculations in SPSS:
- Use SPSS Descriptive Statistics/Explore to produce descriptive statistics for the birth weights in four groups.
- 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.
Data Set: smok_bw.sav
Textbook Assignment
Problem 1: Complete Exercise 15.1 found on page 348 in the textbook.
Answer: First, I use ANOVA to determine the effect of SEX in FEV. I get:
As observed in the table above, Sex is a significant factor in explaining FEV (p = 0.000). Now I use ANCOVA to control for Age :
Now, after controlling for Age , Sex is still a significant factor (p = 0.000).
Deliverable: Word Document
