Explain what “95% confidence” means in a 95% confidence interval.
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
8. Sampling Distributions & Confidence Intervals: Proportion
Confidence Intervals for Population Proportion
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Over the first days of the semester, one student is late to class on days. Find the margin of error for a confidence interval for the true proportion of time this student is late.
A
E=0.3
B
E=0.238
C
E=0.169
D
E=0.062
Verified step by step guidance1
Step 1: Begin by identifying the sample proportion (p̂) of days the student is late. This is calculated by dividing the number of days late (66) by the total number of days (2020).
Step 2: Calculate the standard error (SE) of the sample proportion using the formula: SE = sqrt((p̂ * (1 - p̂)) / n), where n is the total number of days (2020).
Step 3: Determine the z-score for a 98% confidence interval. This can be found using a standard normal distribution table or calculator, which typically gives a z-score of approximately 2.33 for 98% confidence.
Step 4: Calculate the margin of error (E) using the formula: E = z * SE, where z is the z-score from Step 3 and SE is the standard error from Step 2.
Step 5: Interpret the margin of error in the context of the problem. This value represents the range within which the true proportion of days the student is late is expected to fall, with 98% confidence.
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