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Statistics Quick ReferenceFree

Statistics Quick ReferenceFree APK

Statistics Quick ReferenceFree APK

2.3 FreeNuzedd ⇣ Download APK (2.51 MB)

What's Statistics Quick ReferenceFree APK?

Statistics Quick ReferenceFree is a app for Android, It's developed by Nuzedd author.
First released on google play in 7 years ago and latest version released in 7 years ago.
This app has 0 download times on Google play and rated as 4.10 stars with 695 rated times.
This product is an app in Education category. More infomartion of Statistics Quick ReferenceFree on google play
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.

Please consider purchasing the donate version of the app to support the developers.

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
-> The Range
-> The Coefficient of Variation

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)