The ppt gives an idea about basic concept of Estimation. point and interval. Properties of good estimate is also covered. Confidence interval for single means, difference between two means, proportion and difference of two proportion for different sample sizes are included along with case studies.
In classical sampling theory, why is a model always developed on a sample even when the whole data is available? Because all the observations and variables may not be needed for developing a model, because they are not relevant for the development.
Comparing the unpaired t test, small sample formula with the one with large sample formula and the Welch's test. The latter is an unpaired t test for samples of unequal sizes with unequal variances.
The ppt gives an idea about basic concept of Estimation. point and interval. Properties of good estimate is also covered. Confidence interval for single means, difference between two means, proportion and difference of two proportion for different sample sizes are included along with case studies.
In classical sampling theory, why is a model always developed on a sample even when the whole data is available? Because all the observations and variables may not be needed for developing a model, because they are not relevant for the development.
Comparing the unpaired t test, small sample formula with the one with large sample formula and the Welch's test. The latter is an unpaired t test for samples of unequal sizes with unequal variances.
STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, ...Musfera Nara Vadia
STATISTICS : Changing the way we do: Hypothesis testing, effect size, power, confidence interval, two-tailed and one tailed test, and other misunderstood issues.
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