STATISTICS

summarize categorical data

How to summarize categorical data graphically?

You can summarize categorical data by first sorting the values according to the categories of the variable. Then, placing the count, amount, or percentage of each category into a summary table or into one of several types of charts.

Proc TTest

PROC TTEST for comparing means

PROC TTEST procedure is used to compare the equality of means for a one sample, two-sample (independent group) or paired t-test.

Hypotheis testing

Basics of Hypothesis Testing

Hypothesis testing is the statistical process of either retaining a claim or belief made by a person that is usually about population parameters such as mean or proportion and we seek evidence from a sample for the support of the claim.

Confidence Interval

Confidence Interval for Population Mean

A confidence interval is constructed from a sample data is a range of values that is likely to include the population parameter with a certain probability.

The objective of a confidence interval is to provide location and precision of population parameters.

Central Limit Theorem 8

Central Limit Theorem

Central Limit Theorem states that the sample means will be approximately normally distributed for large sample size regardless of the distribution from which the sample is taken.

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