Sampling distributions and large samples
Description
In this program, data derived from a bully convention helps illustrate how statisticians ensure statistical reliability. After describing reliability testing, the mean of a sampling distribution, the Central Limit Theorem, and the standard error of the mean, the focus shifts to point and interval estimators. The subject of confidence intervals-including confidence coefficients, errors of estimation, and upper and lower limits-concludes the program.
Runtime
26 min
Series
Subjects
Genre
Date of Publication
[2008], c2000
Database
Films on Demand
Direct Link
Similar Films
Comparing Two Means
The Question of Causation
Against all odds. Confidence intervals. 24
Statistics. Regression and Measures of Association. Chapter 16
Statistics. Hypothesis Testing about Paired Means. Chapter 14
Using samples
Statistics. Hypothesis Testing about a Proportion. Chapter 11
Mean, Median and Mode
Against all odds. The question of causation. 14
Statistics. Hypothesis Testing about a Mean. Chapter 10
Normal Curves
Statistics. Hypothesis Testing about Difference between Means. Chapter 13
Against all odds. Small sample inference for one mean. 26
Statistics. Multiple Choice Exercises. Chapter 17
Bivariate data. When y depends on x