قم بتنزيل Statistics Quick Reference على جهاز الكمبيوتر باستخدام GameLoop Emulator

Statistics Quick Reference على الكمبيوتر الشخصي

Statistics Quick Reference ، القادم من المطور Nuzedd ، يعمل على نظام Android في الماضي.

الآن ، يمكنك لعب Statistics Quick Reference على جهاز الكمبيوتر باستخدام GameLoop بسلاسة.

قم بتنزيله في مكتبة GameLoop أو في نتائج البحث. لا مزيد من الانتباه إلى البطارية أو المكالمات المحبطة في الوقت الخطأ بعد الآن.

ما عليك سوى الاستمتاع بجهاز Statistics Quick Reference على الشاشة الكبيرة مجانًا！

Statistics Quick Reference مقدمة

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)