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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)

14. ANOVA

Multiple Comparisons: Tukey Test

14. ANOVA

Multiple Comparisons: Tukey Test: Videos & Practice Problems

Video Lessons Practice Worksheet

Back to all problems

24 of 0

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Problem 24Multiple Choice

A nutrition study with equal sample sizes n = 7 for five diets found MSE = 2.8 and group means [A=4.1, B=4.8, C=5.5, D=6.0, E=7.2]. The ANOVA indicated significance. If the q critical for k = 5 and df = 30 at alpha = 0.05 is q_crit = 4.07, which of the following summary statements is correct?

Diet E differs significantly from all other diets because it has the largest mean, so every pair including E must be significant even if the q values are small.

No pairwise differences are significant despite the ANOVA result because Tukey always fails to find pairwise significance when there are five groups.

All adjacent diet means (A-B, B-C, C-D, D-E) are significant, but extremes are not, reflecting a stepwise pattern in Tukey tests.

Only Diet A vs Diet E differs significantly; all other pairwise differences fail to exceed q_crit and are not significant.

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Multiple Comparisons: Tukey Test: Videos & Practice Problems

A nutrition study with equal sample sizes n = 7 for five diets found MSE = 2.8 and group means [A=4.1, B=4.8, C=5.5, D=6.0, E=7.2]. The ANOVA indicated significance. If the q critical for k = 5 and df = 30 at alpha = 0.05 is qcrit = 4.07, which of the following summary statements is correct?

A nutrition study with equal sample sizes n = 7 for five diets found MSE = 2.8 and group means [A=4.1, B=4.8, C=5.5, D=6.0, E=7.2]. The ANOVA indicated significance. If the q critical for k = 5 and df = 30 at alpha = 0.05 is q_crit = 4.07, which of the following summary statements is correct?