17:15

NUMBERS Can Do Three Jobs – Levels of Measurement NOIR (1-4)

03:53

Put it Together – Data, Research, Statistics, and Levels of Measurement (1-5)

17:35

VARIABLES in Statistical Research (2-1)

05:23

DATASETS Revealed – Statistical Research (2-2)

07:22

EXCEL Essentials – The Excel WORKSPACE for Statistics (2-3)

05:56

JASP Essentials – Learning the Fundamentals (2-4)

06:08

DESCRIPTIVE Statistics: Describing Data for Statistics (3-1)

05:04

FREQUENCY Distributions for Categorical Data (3-2)

04:48

Describing Frequency: SIMPLE, Relative, and Percent Frequency (3-3)

03:30

Graphing Frequency: BAR CHARTS for Categorical Data with PARETO Option (3-4)

10:20

PIE Charts and their Alternatives (3-5)

05:09

BINNED Frequencies – Frequencies for Quantitative Data (3-6)

05:00

CUMULATIVE Frequency Distributions (3-7)

07:39

The Best of Both Worlds: Stem-and-Leaf Plots (3-8)

06:40

A Gentle Introduction to HYPOTHESIS Testing (14-1)

09:42

POLAR Bears and the Logic of Hypothesis Testing (14-2)

07:13

FALSIFIABILITY - Which Hypothesis Do We Test? (14-3)

06:42

OUTLINE of the Five Steps for Hypothesis Testing with Baby Weight (14-4)

06:12

Step 1 of Hypothesis Testing: SELECT the Appropriate Statistic (14-5)

07:42

Step 2 of Hypothesis Testing: NULL and Alternative Hypothesis (14-6)

04:10

DIRECTIONAL vs. Non-Directional Alternative Hypothesis: One or Two Tails (14-7)

06:05

Step 3 of Hypothesis Testing: SELECT a Criterion for Significance (14-8)

22:07

THREE Ways to Find Statistical Significance (14-9)

05:36

Step 4 of Hypothesis Testing: CALCULATE the Statistics (14-10)

08:33

Step 5 of Hypothesis Testing: Make a DECISION (14-11)

11:07

Type I and Type II ERRORS in Hypothesis Testing (14-12)

06:31

A Gentle Introduction to Hypothesis Testing with ONE-SAMPLE Tests (15-1)

17:56

One Sample z Test Framework with Social Media Example (15-2)

12:25

One Sample t Test Framework with Gardening Example (15-3)

10:49

PROPORTION Test for One Sample Framework with Coffee Example (15-4)

02:59

What’s NEXT in Hypothesis Testing (15-5)

03:02

Diving DEEPER into Hypothesis Testing with Applied Business Statistics (16-1)

04:57

Check Your ASSUMPTIONS for Parametric Hypothesis Tests (16-2)

05:57

Statistical Assumptions Checked during Research Design – Scale Data and (16-3)

03:01

The Assumption of NO OUTLIERS in Parametric Hypothesis Tests (16-4)

06:51

The Assumption of No MISSING DATA in Parametric Hypothesis Tests (16-5)

04:31

The Assumption of NORMALITY in Parametric Hypothesis Tests (16-6)

02:53

The Assumption of HOMOGENEITY of Variance in Parametric Tests (16-7)

03:06

Parametric Statistics are ROBUST – Is that So? (16-8)

07:32

The Meaning of Statistical SIGNIFICANCE to Us? (16-9)

09:37

Why Should we REPORT Effect Size for Hypothesis Tests (16-10)

09:32

Can We COMPARE Significance? A Tale of Two Studies (16-11)

01:00

Where is Glass 467

22:47

QBA 337 Block C Study Guide

20:40

QBA 337 Block B Study Guide

21:58

Unit Test 1 Study Guide

21:21

Ideal SPSS 27 Workflow for Research and Analysis - Statistics for Beginners (with Puppies) (8 of 8)

11:52

The SPSS 27 Data Codebook - Statistics with SPSS for Beginners (with Puppies) (7 of 8)

19:36

Edit, Customize, and Export Output - Statistics with SPSS 27 for Beginners (with Puppies) (6 of 8)

07:14

Introduction to Statistics with SPSS 27 for Beginners (with Puppies) (1 of 8)

24:19

Descriptive Statistics for Scale Data in SPSS 27 - Statistics with SPSS for Beginners (5 of 8)

24:42

Descriptive Statistics for Categorical Data - Statistics with SPSS 27 for Beginners (4 of 8)

05:09

How do I Interpret a Negative t Test or a Negative Effect Size?

19:26

Importing Data into SPSS 27 - Statistics with SPSS for Beginners (with Puppies) (3 of 8)

11:00

What makes a finding Statistically Significant? Is p = .052 Still Statistically Significant?

04:22

How do I Choose the Significance Level (p = .05) for my Statistical Test?

06:54

Hints for Final Exam Applied Portion (QBA 237)

14:32

Check Your Assumptions for Hypothesis Testing: An Introduction (Week 16A)

05:18

Understanding What Statistical Significance Means in Hypothesis Testing (Week 16B)

09:59

Reporting an Effect Size in Hypothesis Testing: An Introduction (Week 16C)