The main focus of this course is statistical analysis, which involves both descriptive statistics and inferential statistics. The major concern of descriptive statistics is to present information in a convenient, usable, and understandable form. Descriptive statistics is used to describe a set of data in terms of its frequency of occurrence, its central tendency, and its dispersion.
Inferential statistics, on the other hand, is not concerned with just describing the obtained data. It addresses the problem of making broader generalizations or inferences from sample data to population. This is the more complicated part of statistical analysis. A basic aim of inferential statistics is to use the sample scores for hypothesis testing.
Hypothesis Testing Research Hypothesis vs. Null Hypothesis Level of Significance Type I and Type II Errors
When a researcher is ready to test a specific hypothesis generated from a theory or to answer a research question posed, he or she is faced with the task of choosing an appropriate statistical procedure.
First, for any hypothesis posited, the statistical procedure chosen must offer a legitimate test of the hypothesis; otherwise, no meaningful interpretation of the results can be made. Second, choosing an inappropriate statistical procedure can also mean choosing a less-than- robust test that fails to detect significant differences between group scores or significant relationships between pairs of variables.
1. The nature of the hypothesis2.The levels of measurement of the variables to be tested
The levels at which the variablesare measured determine the statistical test that is used to analyze the data.
It stands for Statistical Product and Service Solutions. It originally stands for Statistical Package for the Social Sciences. Now renamed as PASW (Predictive Analytics Software) It is a comprehensive system for analyzing data. It can take data from almost any type of file and use them to generate tabulated reports, charts and plots of distributions and trends, descriptive statistics, and complex statistical analyses.