A Course in Sampling Techniques
40 videos • 410 views • by Kevin S. McCarter, Ph.D.
This podcast presents a course in Sampling Techniques.
1
Characterizing Data by Type, Level, and Shape
Kevin S. McCarter, Ph.D.
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2
Organizing and Summarizing Data
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3
Measures of Location
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4
Measures of Variation
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5
The Five-Number Summary and Box Plots
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6
A Review of Random Variables and their Distributions
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7
Sampling Distributions
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8
The Sampling Distribution of the Sample Mean and the Central Limit Theorem
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9
Using Spreadsheet Software to Perform the Calculations for Sampling Distribution Examples
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10
Sampling Distribution Worksheet 1 - Discussion of Solutions
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11
Components of an Hypothesis Test
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12
Characteristics of an Hypothesis Test: alpha, beta, and power
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13
Using P-Values to Assess the Consistency Between the Observed Data and the Null Hypothesis
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14
Point Estimation and Confidence Interval Estimation
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15
Hypothesis Testing - A Conceptual Example
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16
Review of Inference Procedures for Population Means and Proportions Under IID Random Sampling
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17
Screening Tests - Basic Concepts and Terminology
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18
Interpreting the Results of Screening Tests
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19
Application of Screening Tests - Random Drug Testing
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20
Application of Screening Tests - Pap Smear Screening for Cervical Cancer
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21
Simple Random Sampling - Definitions and Basic Properties
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22
Mean and Variance of the Sampling Distribution of the Sample Mean Under Simple Random Sampling
Kevin S. McCarter, Ph.D.
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23
Mean of the Sampling Distribution of the Sample Variance Under Simple Random Sampling
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24
Estimation of Population Parameters Based on Simple Random Sampling
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25
Determining the Sample Size for Estimating a Population Mean with a Specified Margin of Error
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26
Estimating a Population Total Using a Simple Random Sample
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27
Inferences about a Population Proportion Using Simple Random Samples
Kevin S. McCarter, Ph.D.
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28
Introduction to Stratified Random Sampling
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29
Inferences About Strata Means and the Overall Population Mean Under Stratified Random Sampling
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30
Determining Sample Sizes for Stratified Random Sampling
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31
Inferences for a Population Total Using Stratified Random Sampling
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32
Inferences for Proportions Using Stratified Random Sampling
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33
Ratio Estimation - Estimating the Proportionality Constant
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34
Ratio Estimation of a Population Mean
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35
Ratio Estimation of a Population Total
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36
Sample Size Determination for Ratio Estimation
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37
Regression Estimation
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38
Cluster Random Sampling - Estimating a Population Mean
Kevin S. McCarter, Ph.D.
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39
Cluster Random Sampling - Estimating a Population Total
Kevin S. McCarter, Ph.D.
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40
Cluster Random Sampling - Estimating a Population Proportion
Kevin S. McCarter, Ph.D.
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