Statistics Quick Reference android app free download

android

Name: Statistics Quick Reference
Size: 931 KB
Category: Education
License: Free
Downloads: 1942
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Download the app of Statistics Quick Reference for your android smartphone. This Statistics Quick Reference app free download is a Education app and has a size of 931 KB. It is a Statistics Quick Reference apk file and you can install it on your android phone via free download from this page. It supports all latest android devices including android tablets and android phones like lollipop and marshmallow.
download Statistics Quick Reference
apk | 931 KB
Description
Ver 1.3, for Android OS 2.1 and up Statistics Quick Reference was designed by a qualified statistics Instructor. Each of the concepts was explained in detail, followed by an example for better understanding. The topics include: 1)Basic Terms and Definitions 2)Descriptive Statistics -> Frequency Distribution -> Frequency -> Relative Frequency -> Cumulative Frequency -> Cumulative Relative Frequency -> Graphical Display of data -> Dot Plots -> Bar Charts -> Histograms -> Stem-and-leaf plots -> Pie Charts -> Measures of Central Tendency and Variability -> The Mean -> The Median -> The Mode -> Variance and Standard Deviation 3)Probability -> Basics of Probability -> Definitions -> Classical Definition of Probability -> Conditional Probability -> Laws of Probability -> Rules of Probability -> Discrete Probability Distributions -> Expected Value of Discrete Random Variable -> Variance and Standard Deviation of Discrete Random Variable -> Continuous Probability Distributions -> The normal Distribution -> The Standard Normal Distribution -> t-Distribution -> How to read Tables -> The Standard Normal Distribution Table -> t-Distribution Table 4)Inferential Statistics -> General Guidelines (Confidence Intervals and Hypothesis Tests) -> Large samples, Small Samples, Minimum Sample size required -> Hypothesis Tests (Examples) -> Confidence Intervals (Examples) 5) Applied Statistics -> Least Squares Linear Regression(Example computing Regression equation) -> Linear Correlation (Example computing Correlation Coefficient)