A random sample of 10 10 10 adult males had their total cholesterol levels (in mg/dL \text{mg/dL} ) measured: 180 , 190 , 195 , 200 , 205 , 210 , 195 , 200 , 205 , 190 180, 190, 195, 200, 205, 210, 195, 200, 205, 190 180 , 190 , 195 , 200 , 205 , 210 , 195 , 200 , 205 , 190 Use this sample to construct a 95 % 95\% 95% confidence interval estimate of the population standard deviation of cholesterol levels.

( 6.11 mg/dL , 16.22 mg/dL ) (6.11\ \text{mg/dL},\ 16.22\ \text{mg/dL}) ( 6.11 mg/dL , 16.22 mg/dL )

( 5.92 mg/dL , 14.09 mg/dL ) (5.92\ \text{mg/dL},\ 14.09\ \text{mg/dL})

( 8.86 mg/dL , 15.14 mg/dL ) (8.86\ \text{mg/dL},\ 15.14\ \text{mg/dL})

( 6.97 mg/dL , 15.48 mg/dL ) (6.97\ \text{mg/dL},\ 15.48\ \text{mg/dL})

Table of contents

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1. Intro to Stats and Collecting Data(0)
2. Describing Data with Tables and Graphs(0)
3. Describing Data Numerically(0)
4. Probability(0)
5. Binomial Distribution & Discrete Random Variables(0)
6. Normal Distribution and Continuous Random Variables(0)
7. Sampling Distributions & Confidence Intervals: Mean(0)
8. Sampling Distributions & Confidence Intervals: Proportion(0)
- Sampling Distribution of Sample Proportion
  (0)
- Confidence Intervals for Population Proportion
  (0)
9. Hypothesis Testing for One Sample(0)
10. Hypothesis Testing for Two Samples(0)
11. Correlation(0)
12. Regression(0)
13. Chi-Square Tests & Goodness of Fit(0)
14. ANOVA(0)