by saspower | Feb 27, 2024 | SAS Online Course in India
Removing outliers from a dataset has various advantages. For starters, it improves the precision and reliability of statistical studies by eliminating the distortion created by extreme numbers. This produces more robust and reliable outcomes, which improves the...
by saspower | Feb 25, 2024 | SAS Online Course in India
Trends in time series data show long-term changes or patterns over time, such as increasing or decreasing values. Examples include population growth, stock market trends, or climate change. Seasonality refers to recurring patterns that follow a specific time frame,...
by saspower | Feb 23, 2024 | SAS Online Course in India
One commonly used technique for handling outliers in data is trimming or winsorizing. Trimming involves removing a certain percentage of extreme values from the upper and lower tails of the dataset, while winsorizing replaces extreme values with less extreme values...
by saspower | Feb 19, 2024 | SAS Online Course in India
Statistical analysis of clinical trial data with SAS often consists of many phases. First, data cleaning and validation are performed to verify data accuracy. The data is then summarised using descriptive statistics. Next, inferential statistics, such as hypothesis...
by saspower | Feb 16, 2024 | SAS Online Course in India
Logistic regression is a statistical approach used for binary classification problems in which the result variable is categorical and has two alternative outcomes, usually recorded as 0 and 1. Unlike linear regression, logistic regression predicts the likelihood of...
by saspower | Feb 15, 2024 | SAS Online Course in India
Skewness in data happens when the value distribution is asymmetric, with one side having a larger tail than the other. Outliers can contribute to skewness, but they are not the only source. Skewness can also be caused by inherent data properties, such as non-normality...
