Table of contents
- 1. Intro to Stats and Collecting Data55m
- 2. Describing Data with Tables and Graphs1h 55m
- 3. Describing Data Numerically1h 45m
- 4. Probability2h 16m
- 5. Binomial Distribution & Discrete Random Variables2h 33m
- 6. Normal Distribution and Continuous Random Variables1h 38m
- 7. Sampling Distributions & Confidence Intervals: Mean1h 3m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 12m
- 9. Hypothesis Testing for One Sample1h 1m
- 10. Hypothesis Testing for Two Samples2h 8m
- 11. Correlation48m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 20m
- 14. ANOVA1h 0m
8. Sampling Distributions & Confidence Intervals: Proportion
Sampling Distribution of Sample Proportion
Problem 5.4.42
Textbook Question
Conservation About 74% of the residents in a town say that they are making an effort to conserve water or electricity. One hundred ten residents are randomly selected. What is the probability that the sample proportion making an effort to conserve water or electricity is greater than 80%? Interpret your result.

1
Step 1: Identify the given information. The population proportion (p) is 0.74, the sample size (n) is 110, and we are interested in the probability that the sample proportion (p̂) is greater than 0.80.
Step 2: Calculate the mean (μ) and standard deviation (σ) of the sampling distribution of the sample proportion. The mean is equal to the population proportion, μ = p = 0.74. The standard deviation is calculated using the formula: σ = sqrt((p * (1 - p)) / n).
Step 3: Standardize the sample proportion (p̂ = 0.80) to a z-score using the formula: z = (p̂ - μ) / σ. Substitute the values of p̂, μ, and σ into the formula.
Step 4: Use the z-score obtained in Step 3 to find the corresponding probability from the standard normal distribution table. This will give the probability that the sample proportion is less than 0.80.
Step 5: Subtract the probability obtained in Step 4 from 1 to find the probability that the sample proportion is greater than 0.80. Interpret the result in the context of the problem, explaining what it means in terms of the town's residents making an effort to conserve water or electricity.

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Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Sample Proportion
The sample proportion is the ratio of individuals in a sample who exhibit a certain characteristic to the total number of individuals in that sample. In this context, it refers to the proportion of residents who are making an effort to conserve water or electricity. Understanding sample proportion is crucial for calculating probabilities related to survey results.
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Sampling Distribution of Sample Proportion
Normal Approximation to the Binomial Distribution
When dealing with large sample sizes, the binomial distribution can be approximated by a normal distribution. This is applicable here since the sample size of 110 is sufficiently large. The normal approximation allows us to use the properties of the normal distribution to calculate probabilities related to the sample proportion.
Recommended video:
Using the Normal Distribution to Approximate Binomial Probabilities
Hypothesis Testing
Hypothesis testing is a statistical method used to make inferences about a population based on sample data. In this scenario, we would set up a null hypothesis regarding the sample proportion and determine the probability of observing a sample proportion greater than 80%. This process helps in interpreting the significance of the results in the context of the population's conservation efforts.
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Guided course
Step 1: Write Hypotheses
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