Confidence Interval for Population Mean

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.

Combining data Vertically in SAS (6 Methods)

Combining data Vertically in SAS (6 Methods)

Combining datasets vertically involves stacking one or more datasets. Before combining datasets It’s important to understand the descriptor portion or structure and contents of your input data sets.

Central Limit Theorem

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.

Generating sum of rolling data using the Lag function

Rolling Data also known as Moving average is a time-based calculation to get an insight into trends for a defined period of time.
If the time frame for the moving average is 12 months, the data that is 13 months old be dropped and the new month’s data will be added.

Using PROC MEANS for detailed analysis of data

Using PROC MEANS for detailed analysis of data

PROC MEANS in SAS is used to evaluate quantitative data and to create a summary report for analysis. Using PROC MEANS procedure, you can compute statistics like finding mean, standard deviation, the minimum and maximum values and a lot more statistical calculations.