A previous study found that your school consists of White/Caucasian students. You want the confidence interval for the proportion of White/Caucasian students to be no more than away from the true proportion. How many students must you include in a sample to create this confidence interval?
Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 2m
- 3. Describing Data Numerically2h 10m
- 4. Probability2h 27m
- 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 33m
8. Sampling Distributions & Confidence Intervals: Proportion
Confidence Intervals for Population Proportion
Multiple Choice
Make a confidence interval for p given the following values.
x=314,n=500,C=99%
A
(0.560,0.696)
B
(0.572,0.684)
C
(0.572,0.696)
D
(0.560,0.684)
0 Comments
Verified step by step guidance1
Step 1: Identify the given values in the problem. Here, the sample proportion (p̂) is calculated as p̂ = x/n, where x = 314 and n = 500. The confidence level (C) is 99%.
Step 2: Determine the critical value (z*) for a 99% confidence level. This can be found using a z-table or statistical software. For a 99% confidence level, z* is approximately 2.576.
Step 3: Calculate the standard error (SE) of the sample proportion using the formula SE = sqrt((p̂ * (1 - p̂)) / n). Substitute the values of p̂ and n into the formula.
Step 4: Compute the margin of error (ME) using the formula ME = z* * SE. Multiply the critical value (z*) by the standard error (SE) to find the margin of error.
Step 5: Construct the confidence interval (CI) using the formula CI = (p̂ - ME, p̂ + ME). Subtract and add the margin of error (ME) to the sample proportion (p̂) to find the lower and upper bounds of the confidence interval.
Related Videos
Related Practice
Multiple Choice

