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Table of contents
- 1. Introduction to Statistics53m
- 2. Describing Data with Tables and Graphs2h 1m
- 3. Describing Data Numerically1h 48m
- 4. Probability2h 26m
- 5. Binomial Distribution & Discrete Random Variables2h 55m
- 6. Normal Distribution & Continuous Random Variables1h 48m
- 7. Sampling Distributions & Confidence Intervals: Mean2h 8m
- 8. Sampling Distributions & Confidence Intervals: Proportion1h 20m
- 9. Hypothesis Testing for One Sample2h 23m
- 10. Hypothesis Testing for Two Samples3h 25m
- 11. Correlation1h 6m
- 12. Regression1h 4m
- 13. Chi-Square Tests & Goodness of Fit1h 30m
- 14. ANOVA1h 4m
7. Sampling Distributions & Confidence Intervals: Mean
Confidence Intervals for Population Mean
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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

1
Step 1: Recognize that the problem involves finding the probability for a t-distribution. The given inequality is P(-1.5 < T < 1.5), and the degrees of freedom (df) are 8.
Step 2: Understand that for a t-distribution, probabilities are calculated using the cumulative distribution function (CDF). The probability P(-1.5 < T < 1.5) can be expressed as the difference between two cumulative probabilities: P(T < 1.5) - P(T < -1.5).
Step 3: Use a t-distribution table or statistical software to find the cumulative probabilities for T = 1.5 and T = -1.5 with df = 8. For example, look up the CDF value for t = 1.5 and t = -1.5 in the table or use a function like T.DIST in Excel or a similar function in statistical software.
Step 4: Subtract the cumulative probability for T = -1.5 from the cumulative probability for T = 1.5 to find the probability P(-1.5 < T < 1.5). This step ensures that you are calculating the area under the t-distribution curve between -1.5 and 1.5.
Step 5: Verify your result by checking that the calculated probability is reasonable (e.g., it should be between 0 and 1) and matches the expected range for the given degrees of freedom.
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