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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
Confidence Intervals for Population Mean
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Find each probability.
(B)
A
0.91
B
0.83
C
0.083
D
0.086
Verified step by step guidance1
Step 1: Understand the problem. The goal is to find the probability that the t-statistic (T) falls between -1.5 and 1.5, given that the degrees of freedom (df) are 8. This involves using the t-distribution table or a statistical software/calculator.
Step 2: Recall that the t-distribution is symmetric and centered at 0. The probability of a range can be calculated by finding the cumulative probability up to 1.5 and subtracting the cumulative probability up to -1.5.
Step 3: Use the t-distribution table or software to find the cumulative probability for T = 1.5 with df = 8. This value represents the area under the curve to the left of 1.5.
Step 4: Similarly, find the cumulative probability for T = -1.5 with df = 8. Since the t-distribution is symmetric, this value can be calculated as 1 minus the cumulative probability for T = 1.5.
Step 5: Subtract the cumulative probability for T = -1.5 from the cumulative probability for T = 1.5 to find the probability that T falls between -1.5 and 1.5. This is the final result.
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