You want to make a confidence interval for the population proportion of people between years old who have gotten a speeding ticket in the past years. A prior study found that of people between years old have received a speeding ticket in the last year. If you want your estimate to be accurate within of the true population proportion, what is the minimum sample size needed?
Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 2m
- 3. Describing Data Numerically2h 8m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables3h 28m
- 6. Normal Distribution & Continuous Random Variables2h 21m
- 7. Sampling Distributions & Confidence Intervals: Mean3h 37m
- Sampling Distribution of the Sample Mean and Central Limit Theorem19m
- Distribution of Sample Mean - ExcelBonus23m
- Introduction to Confidence Intervals22m
- Confidence Intervals for Population Mean1h 26m
- Determining the Minimum Sample Size Required12m
- Finding Probabilities and T Critical Values - ExcelBonus28m
- Confidence Intervals for Population Means - ExcelBonus25m
- 8. Sampling Distributions & Confidence Intervals: Proportion2h 20m
- 9. Hypothesis Testing for One Sample5h 15m
- Steps in Hypothesis Testing1h 13m
- Performing Hypothesis Tests: Means1h 1m
- Hypothesis Testing: Means - ExcelBonus42m
- Performing Hypothesis Tests: Proportions39m
- Hypothesis Testing: Proportions - ExcelBonus27m
- Performing Hypothesis Tests: Variance12m
- Critical Values and Rejection Regions29m
- Link Between Confidence Intervals and Hypothesis Testing12m
- Type I & Type II Errors16m
- 10. Hypothesis Testing for Two Samples5h 35m
- Two Proportions1h 12m
- Two Proportions Hypothesis Test - ExcelBonus28m
- Two Means - Unknown, Unequal Variance1h 2m
- Two Means - Unknown Variances Hypothesis Test - ExcelBonus12m
- Two Means - Unknown, Equal Variance15m
- Two Means - Unknown, Equal Variances Hypothesis Test - ExcelBonus9m
- Two Means - Known Variance12m
- Two Means - Sigma Known Hypothesis Test - ExcelBonus21m
- Two Means - Matched Pairs (Dependent Samples)42m
- Matched Pairs Hypothesis Test - ExcelBonus12m
- Two Variances and F Distribution29m
- Two Variances - Graphing CalculatorBonus15m
- 11. Correlation1h 24m
- 12. Regression3h 42m
- Linear Regression & Least Squares Method26m
- Residuals12m
- Coefficient of Determination12m
- Regression Line Equation and Coefficient of Determination - ExcelBonus8m
- Finding Residuals and Creating Residual Plots - ExcelBonus11m
- Inferences for Slope32m
- Enabling Data Analysis ToolpakBonus1m
- Regression Readout of the Data Analysis Toolpak - ExcelBonus21m
- Prediction Intervals13m
- Prediction Intervals - ExcelBonus19m
- Multiple Regression - ExcelBonus29m
- Quadratic Regression23m
- Quadratic Regression - ExcelBonus10m
- 13. Chi-Square Tests & Goodness of Fit2h 31m
- 14. ANOVA2h 32m
8. Sampling Distributions & Confidence Intervals: Proportion
Confidence Intervals for Population Proportion
Multiple Choice
An economist is evaluating how frequently the U.S. inflation rate exceeds the Federal Reserve's long-term target of 2% per yr≈0.17% per month. The economist finds that in 34 of the 48 sampled months, the monthly inflation rate did exceed 0.17%.
Under stable conditions the inflation rate should not exceed the target more than of the time. Can the economist conclude that inflation has exceeded the target more than ?
A
No since is in (0.61,0.75).
B
Yes since is not in (0.58,0.84).
C
No since 0.2 is not in (0.58,0.84).
D
Yes since 0.2 is in (0.61,0.75).
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Verified step by step guidance1
Step 1: Define the null hypothesis (H0) and the alternative hypothesis (H1). The null hypothesis (H0) states that the proportion of months where inflation exceeds the target is 20% (p = 0.20). The alternative hypothesis (H1) states that the proportion of months where inflation exceeds the target is greater than 20% (p > 0.20).
Step 2: Calculate the sample proportion (p̂). The sample proportion is the number of months where inflation exceeded the target divided by the total number of months sampled. Use the formula: p̂ = x / n, where x is the number of successes (34 months) and n is the total sample size (48 months).
Step 3: Compute the standard error (SE) of the sample proportion. The standard error is calculated using the formula: SE = sqrt((p0 * (1 - p0)) / n), where p0 is the hypothesized proportion (0.20) and n is the sample size (48).
Step 4: Calculate the z-test statistic. The z-test statistic is computed using the formula: z = (p̂ - p0) / SE, where p̂ is the sample proportion, p0 is the hypothesized proportion, and SE is the standard error calculated in Step 3.
Step 5: Compare the z-test statistic to the critical value or p-value. For a one-tailed test at a significance level of 0.05, the critical z-value is approximately 1.645. If the z-test statistic is greater than 1.645, reject the null hypothesis (H0) and conclude that inflation has exceeded the target more than 20% of the time. Otherwise, fail to reject the null hypothesis.
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