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Statistics In Psychology: Course Outline(APsy-402)

Psychological statistics is application of formulas, theorems, numbers and laws to psychology. Statistical Methods for psychology include development and application statistical theory and methods for modeling psychological data.

Course Outline

Unit 1: Introduction

Meaning of Statistics

Importance of statistics in different feilds

Descriptive And Inferential Statistics

Importance Of Statistics In Different Fields

Collection of Data

Primary and Secondary Data

Variable And Constant

Continuous And Discrete Variable

Qualitative and Quantitative Data

Errors Of Measurement

Unit 2: Presentation of Data

Classification

Tabulation

Frequency Distribution

Charts

Simple bar chart

Multiple bar chart

Pie chart

Graphs

Histogram

Frequency polygon

Frequency curve and small ogive

Unit 3: Measures of Location & Dispersion

Measure of  location

Types of averages

The Arithmetic mean

The median

Quintiles

The Mode

Measure of Dispersion

Range

The Standard Deviation

The Variance

Coefficient of Variation

Symmetry and Skewness

Course Outline

Unit 4: Regression & Correlation

Regression

introduction, Scatter  diagram

Regression Analysis

The Simple Linear Regression Model

The Method Of Least Square

The Least Square Lines Of Regression

Correlation, Correlation And Causation

The Coefficient Of Correlation

Properties of Correlation

Unit 5: Probability distributions

Permutation and Combinations

Discrete and Continuous Random numbers

Distribution function for Discrete and Continuous probability distribution

Discrete Probability distribution

Binomial Probability distribution

Applications, Properties

Mean, Variance

Continuous Probability distribution

Normal Probability distribution

Applications, Properties

Mean, Variance

Standard Normal Distribution

Unit 6: Sampling and Sampling Distributions

Population and Sample

Sampling With And Without Replacement

Sampling Distribution of Means

Sampling Distribution of Proportions

Unit 7: Statistical Inference

 Estimation, Point estimation

Confidence Interval

Test Of Hypothesis

Simple and Composite Hypothesis

Type I and Type II Errors

Z- test, t-test, Chi Square Test

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