Suppose you have a data table showing the relationship between hours studied and exam scores. After calculating the regression line, how would you use a regression calculator to make a reasonable prediction for a student who studied hours?
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
7. Sampling Distributions & Confidence Intervals: Mean
Introduction to Confidence Intervals
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Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
By the empirical rule, how many students in a class of would score within the range ?
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Verified step by step guidance1
Recall the empirical rule (68-95-99.7 rule), which states that for a normal distribution: approximately 68% of data falls within 1 standard deviation (\(\mu \pm \sigma\)), approximately 95% falls within 2 standard deviations (\(\mu \pm 2\sigma\)), and approximately 99.7% falls within 3 standard deviations (\(\mu \pm 3\sigma\)).
Identify that the problem asks for the number of students scoring within \(\mu \pm 2\sigma\), which corresponds to about 95% of the data according to the empirical rule.
Calculate 95% of the total number of students in the class. Since there are 200 students, multiply 200 by 0.95: \$200 \times 0.95$.
Interpret the result as the approximate number of students scoring within the range \(\mu \pm 2\sigma\).
Compare your calculated number to the given answer choices to select the closest value.
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