Statistics Quick Reference Pro
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Strona zmodyfikowana w dniu: 18 stycznia 2017
Play Statistics Quick Reference Pro on PC
Benefits of PRO version:
In addition to the topic covered in the free app, you will get:
- Two Sample Hypothesis Tests (Difference between proportions, Difference between means - large and small samples) explained in detail
- Two Sample Hypothesis Tests (Difference between proportions, Difference between means - large and small samples) explained in detail
- Using Chi-Square Distribution (Goodness of fit test, Test of homogeneity, Test for Independence, Confidence intervals for Standard deviation & Variance, use of chi-square distribution tables)
- No Ads
Statistics Quick Reference Pro was designed by a qualified statistics Instructor. Each of the concepts was explained in detail, followed by an example for better understanding.
The topics in the free version includes:
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)
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