More Than 250
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Statistics is the study of methods for describing and interpreting qualitative and quantitative information (i.e., data). This course will explore descriptive and inferential statistics. Descriptive statistics are used to describe the shape and size of the frequency distributions. Examples of descriptive statistics that will be reviewed in the workshop include measures of central tendency, measures of variability, and dispersion of samples (e.g., standard deviations). Inferential statistics are used to draw inferences about the population, test hypotheses, describe the relationship between variables, assess differences between groups, and to predict trends over time. Inferential statistics reviewed will include: chi-square, t-tests, analysis of variance, correlations, and regression analysis.

Analysts, supervisors, or other staff members who need to build their skills in basic statistical concepts.

• Understand the applications and limitations of various statistical methods

• Select appropriate statistical method(s) based on the research objectives

• Perform statistical analyses manually and/or using software (e.g., MS Excel)

• Interpret statistical results