Complete Statistics Guide : Formulas & Examples APK

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Quick and Easy Basics of Core concepts of Statistics with Examples... [readmore]


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Version 1.0.0
Update
Size 4.37 MB
Category Education
Developer AndroFrenzy
Downloads ↓ 17K
⇣ Download APK (4.37 MB)

This is an original APK file direct fetch from google play. It is safe to download and free of any virus.

File Infos

License type Free
Version 1.0.0
Size 4.37 MB (4583368)
Filename com.androfrenzy.statistics_10000_4583368.apk
Requirement 4.4 and up
Type app
Category Education
Package name: com.androfrenzy.statistics
Slogan: Quick and Easy Basics of Core concepts of Statistics with Examples

APK Permissions


‣ android.permission.INTERNET
‣ android.permission.ACCESS_NETWORK_STATE


APK used Features


‣ android.hardware.touchscreen

Screenshots (8 images)

Complete Statistics Guide : Formulas & Examples screenshot 1 Complete Statistics Guide : Formulas & Examples screenshot 2 Complete Statistics Guide : Formulas & Examples screenshot 3 Complete Statistics Guide : Formulas & Examples screenshot 4 Complete Statistics Guide : Formulas & Examples screenshot 5 Complete Statistics Guide : Formulas & Examples screenshot 6 Complete Statistics Guide : Formulas & Examples screenshot 7 Complete Statistics Guide : Formulas & Examples screenshot 8

About Complete Statistics Guide : Formulas & Examples APK

Complete Statistics Guide : Formulas & Examples poster
Complete Statistics Guide : Formulas & Examples APK version 1.0.0 poster

Latest update [menu]


Version 1.0.0 updated.

Description [menu]


This Statistics preparation material will cover the important concepts of Statistics syllabus. It contains chapters discussing all the basic concepts of Statistics with suitable examples.

Audience

This tutorial will give you great understanding on concepts present in Statistics syllabus and after completing this preparation material you will be at intermediate level of experties from where you can take yourself at higher level of expertise.

Prerequisites

Before proceeding with this tutorial you should have a basic understanding of Mathematics.

Concepts Covered

Adjusted R-Squared
Analysis of Variance
Arithmetic Mean
Arithmetic Median
Arithmetic Mode
Arithmetic Range
Bar Graph
Best Point Estimation
Beta Distribution
Binomial Distribution
Black-Scholes model
Boxplots
Central limit theorem
Chebyshev's Theorem
Chi-squared Distribution
Chi Squared table
Circular Permutation
Cluster sampling
Cohen's kappa coefficient
Combination
Combination with replacement
Comparing plots
Continuous Uniform Distribution
Cumulative Frequency
Co-efficient of Variation
Correlation Co-efficient
Cumulative plots
Cumulative Poisson Distribution
Data collection
Data collection - Questionaire Designing
Data collection - Observation
Data collection - Case Study Method
Data Patterns
Deciles Statistics
Dot Plot
Exponential distribution
F distribution
F Test Table
Factorial
Frequency Distribution
Gamma Distribution
Geometric Mean
Geometric Probability Distribution
Goodness of Fit
Grand Mean
Gumbel Distribution
Harmonic Mean
Harmonic Number
Harmonic Resonance Frequency
Histograms
Hypergeometric Distribution
Hypothesis testing
Interval Estimation
Inverse Gamma Distribution
Kolmogorov Smirnov Test
Kurtosis
Laplace Distribution
Linear regression
Log Gamma Distribution
Logistic Regression
Mcnemar Test
Mean Deviation
Means Difference
Multinomial Distribution
Negative Binomial Distribution
Normal Distribution
Odd and Even Permutation
One Proportion Z Test
Outlier Function
Permutation
Permutation with Replacement
Pie Chart
Poisson Distribution
Pooled Variance (r)
Power Calculator
Probability
Probability Additive Theorem
Probability Multiplecative Theorem
Probability Bayes Theorem
Probability Density Function
Process Capability (Cp) & Process Performance (Pp)
Process Sigma
Quadratic Regression Equation
Qualitative Data Vs Quantitative Data
Quartile Deviation
Range Rule of Thumb
Rayleigh Distribution
Regression Intercept Confidence Interval
Relative Standard Deviation
Reliability Coefficient
Required Sample Size
Residual analysis
Residual sum of squares
Root Mean Square
Sample planning
Sampling methods
Scatterplots
Shannon Wiener Diversity Index
Signal to Noise Ratio
Simple random sampling
Skewness
Standard Deviation
Standard Error ( SE )
Standard normal table
Statistical Significance
Statistics Formulas
Statistics Notation
Stem and Leaf Plot
Stratified sampling
Student T Test
Sum of Square
T-Distribution Table
Ti 83 Exponential Regression
Transformations
Trimmed Mean
Type I & II Error
Variance
Venn Diagram
Weak Law of Large Numbers
Z table

How to install Complete Statistics Guide : Formulas & Examples APK for Android [menu]


Download Complete Statistics Guide : Formulas & Examples APK file (com.androfrenzy.statistics_10000_4583368.apk) from SameAPK.com, then follow these steps:

Update Phone Settings

  • Go to your phone Settings page
  • Tap Security or Applications (varies with device)
  • Check the Unknown Sources box
  • Confirm with OK

Go to Downloads

  • Open Downloads on your device by going to My Files or Files
  • Tap the APK file you downloaded (com.androfrenzy.statistics_10000_4583368.apk)
  • Tap Install when prompted, the APK file you downloaded will be installed on your device.

How to install Complete Statistics Guide : Formulas & Examples APK on Windows 7/8/10 or MAC PC? [menu]


Download Complete Statistics Guide : Formulas & Examples APK file(com.androfrenzy.statistics_10000_4583368.apk) from SameAPK.com to your PC (ex: /Users/xxx/Downloads/(com.androfrenzy.statistics_10000_4583368.apk)), then follow these steps:

Using Emulator:

  • Download And Install one Emulator Softwares (Ex: Bluestacks, GenyMotion, NoxPlayer)
  • Simple install APK on PC by drag and drop file com.androfrenzy.statistics_10000_4583368.apk on Emulator screen

Complete Statistics Guide : Formulas & Examples APK Pros & Cons [menu]


Pros
  • This app is safe, it's not require high risk permissions
  • Compatible with 32 bit device (most Emulator using 32bit arch CPU)
  • Compatible with 64-bit device (some android device and current Bluestacks)

Cons
Everything is good.


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