The General Social Survey regularly asks individuals to disclose their religious affiliation. The following data represent the religious affiliation of young adults, aged 18 to 29, in the 1970s, 1980s, 1990s, and 2000s. Do the data suggest different proportions of 18- to 29-year-olds have been affiliated with religion in the past four decades? Use the α = 0.05 level of significance.
Table of contents
- 1. Intro to Stats and Collecting Data1h 14m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically2h 5m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables3h 6m
- 6. Normal Distribution and Continuous Random Variables2h 11m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 23m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - Excel23m
- Introduction to Confidence Intervals15m
- Confidence Intervals for Population Mean1h 18m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - Excel28m
- Confidence Intervals for Population Means - Excel25m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 25m
- 9. Hypothesis Testing for One Sample3h 29m
- 10. Hypothesis Testing for Two Samples4h 50m
- Two Proportions1h 13m
- Two Proportions Hypothesis Test - Excel28m
- Two Means - Unknown, Unequal Variance1h 3m
- Two Means - Unknown Variances Hypothesis Test - Excel12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - Excel9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - Excel21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - Excel12m
- 11. Correlation1h 24m
- 12. Regression1h 50m
- 13. Chi-Square Tests & Goodness of Fit2h 21m
- 14. ANOVA1h 57m
10. Hypothesis Testing for Two Samples
Two Proportions
Problem 11.1.36e
Textbook Question
"Putting It Together: Salk Vaccine On April 12, 1955, Dr. Jonas Salk released the results of clinical trials for his vaccine to prevent polio. In these clinical trials, 400,000 children were randomly divided in two groups. The subjects in group 1 (the experimental group) were given the vaccine, while the subjects in group 2 (the control group) were given a placebo. Of the 200,000 children in the experimental group, 33 developed polio. Of the 200,000 children in the control group, 115 developed polio.What type of experimental design is this?
e. Does it appear to be the case that the vaccine was effective?"
Verified step by step guidance1
Step 1: Identify the type of experimental design used. Since the children were randomly divided into two groups—one receiving the vaccine (experimental group) and the other receiving a placebo (control group)—this is a randomized controlled experiment. This design helps to isolate the effect of the vaccine by controlling for other variables.
Step 2: Calculate the incidence (proportion) of polio in each group. For the experimental group, the incidence is given by the number of children who developed polio divided by the total number in that group: \(\frac{33}{200,000}\). For the control group, it is \(\frac{115}{200,000}\).
Step 3: Compare the incidence rates between the two groups. A lower incidence in the experimental group compared to the control group suggests that the vaccine may be effective in preventing polio.
Step 4: Consider the difference in proportions to quantify the effect of the vaccine. This can be calculated as \(\text{Incidence}_{control} - \text{Incidence}_{experimental}\). A positive difference indicates fewer cases in the vaccinated group.
Step 5: Reflect on the practical significance of the difference and whether the reduction in polio cases is meaningful. Since the groups were randomized and large, a substantial difference supports the conclusion that the vaccine was effective.
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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Randomized Controlled Trial (RCT)
An RCT is an experimental design where participants are randomly assigned to either a treatment group or a control group. This randomization helps eliminate bias and ensures that differences in outcomes can be attributed to the treatment. In the Salk vaccine study, children were randomly divided into vaccinated and placebo groups, exemplifying an RCT.
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Control Group and Placebo
A control group receives a placebo or no treatment, serving as a baseline to compare the effects of the experimental treatment. The placebo mimics the treatment without active ingredients, helping to isolate the vaccine's effect. Here, the control group received a placebo to measure polio incidence without vaccination.
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Effectiveness of Treatment and Comparison of Outcomes
To assess treatment effectiveness, compare the incidence of the outcome between groups. A lower rate of polio in the vaccinated group compared to the control group suggests the vaccine's effectiveness. In this case, 33 cases versus 115 cases indicate the vaccine likely reduced polio risk.
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