Measures of Descriptive statistics and Inferential statistics
- 1. Measure's of Descriptive Statistics and Inferential Statistics Swipe
- 2. Introduction Descriptive statistics are numbers that are used to summarize and describe data. The word "data" refers to the information that has been collected from an experiment, a survey, a historical record, etc. Inferential statistics is a set of data taken from the population to represent the population. Inferential statistics uses a random sample of data taken from a population to describe and make inferences about the population. Item 1 Item 2 Item 3 Item 4 Item 5 25 20 15 10 5 0 Item1 Item2 Item3 Item4 Item5 50 40 30 20 10 0
- 3. Example Raw data Descriptive statistics Descriptive statistics Inferential statistics
- 4. Measures of Descriptive Statistics Frequency distribution Measures of central tendency Measures of position Measures of variability Graphical representation Correlation co-efficient
- 5. Measures of Inferential Statistics Parametric Non- Parametric T-test ANOVA Kolmogrov-smirnov Mann-whitney Median Spearman rank correlation Chi-square
- 6. It gives information that describes the data in some detailed manner. Organize, analyze and present data in a meaningful way. To describe a situation. Descriptive statistic are concerned with describing the characteristics of frequency distribution. Charts, graphs and tables. Applications of Descriptive Statistic
- 7. To makes inferences about population using data drawn from the population. To compare data, text hypothesis and make predictions (Estimation or parameters). To explain the chance of occurrence of an event. It attempts to reach the conclusion to learn about the population. Applications of inferential Statistic
- 8. Measure of Central Tendency Measure of variability Hypothesis Test, Confidence Interval and Regression Analysis Stay Tuned with Topics for next Post