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We begin by introducing two general types of statistics: Descriptive statistics: statistics that summarize observations. Inferential statistics: statistics used to interpret the meaning of descriptive statistics.

The two major areas of statistics are known as descriptive statistics, which describes the properties of sample and population data, and inferential statistics, which uses those properties to test hypotheses and draw conclusions. Descriptive statistics include mean (average), variance, skewness, and kurtosis.

Step 1: Write your hypotheses and plan your research design. ... Step 2: Collect data from a sample. ... Step 3: Summarize your data with descriptive statistics. ... Step 4: Test hypotheses or make estimates with inferential statistics. ... Step 5: Interpret your results.

5 basic statistics concepts Regression. Regression is a method for comparing two variables when one of them is independent and the other, or the others, depends on that first variable. ... Calculating the mean. ... Standard deviation. ... Sample size determination. ... Hypothesis testing.

STATISTICS. Definitions: - ?The classified facts relating the condition of the people in a state specially those facts which can be stated in members or in tables of members or in any tabular or classified arrangements.? -Webster. ?Statistics may be regarded as (i) the study of population (ii) The study of.

Reading this chapter will help you understand the fundamentals of statistics and introduce you to concepts that are used throughout this book. The five words population, sample, parameter, statistic (singular), and variable form the basic vocabulary of statistics.

The basics of statistics include the measure of central tendency and the measure of dispersion. The central tendencies are mean, median and mode and dispersions comprise variance and standard deviation. Mean is the average of the observations. Median is the central value when observations are arranged in order.

Note: Mean, median, mode, variance, and standard deviation are basic descriptive statistics that help to explain a variable.