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1. Intro to Stats and Collecting Data(0)

Intro to Stats
(0)

Levels of Measurement
(0)

Intro to Collecting Data
(0)

Sampling Methods
(0)

2. Describing Data with Tables and Graphs(0)

Visualizing Qualitative vs. Quantitative Data
(0)

Frequency Distributions
(0)

Histograms
(0)

Bar Graphs and Pareto Charts
(0)

Pie Charts
(0)

Frequency Polygons
(0)

Dot Plots
(0)

Stemplots (Stem-and-Leaf Plots)
(0)

Time-Series Graph
(0)

3. Describing Data Numerically(0)

Mean
(0)

Median
(0)

Mode
(0)

Standard Deviation
(0)

Interpreting Standard Deviation
(0)

Percentiles & Quartiles
(0)

Boxplots
(0)

4. Probability(0)

Basic Concepts of Probability
(0)

Complements
(0)

Addition Rule
(0)

Multiplication Rule: Independent Events
(0)

Introduction to Contingency Tables
(0)

Multiplication Rule: Dependent Events
(0)

Bayes' Theorem
(0)

Fundamental Counting Principle
(0)

Counting
(0)

5. Binomial Distribution & Discrete Random Variables(0)

Discrete Random Variables
(0)

Binomial Distribution
(0)

Poisson Distribution
(0)

Hypergeometric Distribution
(0)

6. Normal Distribution and Continuous Random Variables(0)

Uniform Distribution
(0)

Standard Normal Distribution
(0)

Non-Standard Normal Distribution
(0)

7. Sampling Distributions & Confidence Intervals: Mean(0)

Sampling Distribution of the Sample Mean and Central Limit Theorem
(0)

Introduction to Confidence Intervals
(0)

Confidence Intervals for Population Mean
(0)

Determining the Minimum Sample Size Required
(0)

8. Sampling Distributions & Confidence Intervals: Proportion(0)

Sampling Distribution of Sample Proportion
(0)

Confidence Intervals for Population Proportion
(0)

Chi Square Distribution
(0)

Confidence Intervals for Population Variance
(0)

9. Hypothesis Testing for One Sample(0)

Steps in Hypothesis Testing
(0)

Performing Hypothesis Tests: Means
(0)

Performing Hypothesis Tests: Proportions
(0)

Performing Hypothesis Tests: Variance
(0)

Critical Values and Rejection Regions
(0)

Link Between Confidence Intervals and Hypothesis Testing
(0)

Type I & Type II Errors
(0)

10. Hypothesis Testing for Two Samples(0)

Two Proportions
(0)

Two Means - Unknown, Unequal Variance
(0)

Two Means - Unknown, Equal Variance
(0)

Two Means - Known Variance
(0)

Two Means - Matched Pairs (Dependent Samples)
(0)

Two Variances and F Distribution
(0)

11. Correlation(0)

Scatterplots & Intro to Correlation
(0)

Correlation Coefficient
(0)

12. Regression(0)

Linear Regression & Least Squares Method
(0)

Residuals
(0)

Coefficient of Determination
(0)

Inferences for Slope
(0)

Prediction Intervals
(0)

Quadratic Regression
(0)

13. Chi-Square Tests & Goodness of Fit(0)

Goodness of Fit Test
(0)

Contingency Tables
(0)

Independence Tests
(0)

Homogeneity Tests
(0)

14. ANOVA(0)

Introduction to ANOVA
(0)

Multiple Comparisons: Tukey Test
(0)

Multiple Comparisons: Tukey-Kramer Test
(0)

Multiple Comparisons: Bonferoni Test
(0)

Two-Way ANOVA
(0)

8. Sampling Distributions & Confidence Intervals: Proportion

Confidence Intervals for Population Variance

8. Sampling Distributions & Confidence Intervals: Proportion

Confidence Intervals for Population Variance: Videos & Practice Problems

Video Lessons Practice Worksheet

Back to all problems

2 of 0

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Problem 2Multiple Choice

A food scientist wishes to estimate the variability in fiber content (in grams per serving) of a new high‑fiber breakfast cereal. A simple random sample of $n equals 36$ servings yields a sample standard deviation of $s equals 1.20$ g. Assuming fiber content is normally distributed, using a $99 percent sign$ confidence level, determine the degrees of freedom, the critical values $χ_{L}^{2}$ and $χ_{R}^{2}$ , and the confidence interval estimate (up to two decimal places) for the population standard deviation $σ$ .

$d f equals 34$

$chi sub L squared equals 16.501$

$chi sub R squared equals 58.964$

$99 percent sign$ CI: $0.91$ g $is less than sigma is less than 1.72$ g

$d f equals 35$

$chi sub L squared equals 17.192$

$chi sub R squared equals 60.275$

$99 percent sign$ CI: $0.91$ g $is less than sigma is less than 1.71$ g

$d f equals 35$

$chi sub L squared equals 17.535$

$chi sub R squared equals 59.342$

$99 percent sign$ CI: $0.92$ g $is less than sigma is less than 1.70$ g

$d f equals 36$

$chi sub L squared equals 17.887$

$chi sub R squared equals 61.581$

$99 percent sign$ CI: $0.93$ g $is less than sigma is less than 1.69$ g

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