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.
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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)
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)
Recently changed in this version:
Change log 1.9.4:
1. Minor Correction in content: Under the topic "Correlation Coefficient"
Change log 1.9.3:
1. Minor Correction in content: Under the topic "Hypothesis tests"
2. More reasons to go for Pro Version [Link Updated - Recommended for Advanced Users]





Comments and ratings for Statistics Quick ReferenceFree
(74 stars)
by danylo petrenko on 29/04/2013
Perfectly relevant to what I'm studying. Helps a bunch. Made my class a tad more bearable
(74 stars)
by Kami Khan on 28/03/2013
Good
(74 stars)
by Emma L. on 19/03/2013
There is nothing special about this app. It is not even a textbook: maybe half-heartedly ok for reviewing, but no good for learning. For reference, Wikipedia is of course way better. Plus annoyingly blinking ads.
(74 stars)
by Goran Hajdin on 26/02/2013
ie. explaining that standard deviation is root of variance and that variance is squared standard deviation is catch 22. either explain the terms as they should be or don't bother writing about them.
(74 stars)
by Salil Sharma on 18/02/2013
Excellent
(74 stars)
by Venkatesh K on 31/01/2013
Thanx a lot. Ur app helped me a lot to understand probability n conditional probability.. The examples r pretty simple to understand.
(74 stars)
by Rhod Andrew Lucero on 19/01/2013
I will rate it 5star when i find nothing wrong about the app....