1 Application of Normal Probability Distribution. To determine the percentage of cases in a normal distribution within given limits.
2 To find the limits in any normal distribution which include a given percentage of cases (Practice).
3 Introduction to sampling theory, sampling with replacement
4 Sampling without replacement. Sampling distribution of sample mean. (Practice).
5 Sampling distribution of the difference between two sample means (X1-X2) with & without replacement
6 Estimation: Estimate and Estimator, Point and interval estimation.
7 Confidence Interval for Population mean µ, for case I, II and III
8 Confidence Interval for the difference between the means of two population (µ1- µ2) for case I, II and III quiz and Assignment.
9 Formulation of null and alternative hypothesis, one tail and two tail test, type I and Type II errors, level of significance and Rejection region.
Testing the difference between means and within means.
10 Application of Z-test (practice)
11 Application of t-test (Practice)
12 Chi-square test and contingency table (Practice)
13 One-way ANOVA (F-test)
14 Practice of Data Analysis
15 Non-Parametric Tests: Introduction to non-parametric tests, wilcoxan test, Mann whitney test
16 Sign test and kruskal wallis test (Practice)
17 Data Analysis
This course is designed to acquaint the students with several of the major quantitative techniques used in psychology and social sciences. It treats quantification as an integral part of social science research, and examines the application of standard statististical methods. The primary goal of this course is to develop critical thinking skills necessary for students to evaluate primary empirical research.
Course Learning Outcomes
1. Understanding about inferential statistics will be developed.
2. Understanding of SPSS for data analysis
3. Critical thinking will be developed to evaluate primary and empirical research.
Lecture 1Introduction to Normal Distribution
week 1. Normal Distribution using SPSS, part 01
week 1. Normal Distribution using SPSS, part 02
week 1. Normal Distribution using SPSS, part 03
week 1. Normal Distribution using SPSS, part 04
Define Population, sample.
week 2. Introduction to sampling, sampling design, sampling frame and advantages of sampling.
week 2. Sampling and Non Sampling errors, Bias.
week 3. Types of probability sampling, simple random sampling, stratified random sampling, systematic sampling and cluster sampling.
week 4. Sampling distribution for sample mean of size 2 with replacement and without replacement.
How to Use SPSS: Choosing the Appropriate Statistical Test
Hypothesis testing about mean -Hypothesis tests in SPSS- Part 1
SPSS - Dependent Samples t-Test
Paired-Samples T Test with Assumption Tesing using SPSS
How to do an Independent Samples t Test in SPSS (11-5)
Testing the Null Hypothesis with ANOVA in SPSS
How to calculate a One Way Anova using SPSS (Analysis of Variance)
How to Calculate a Two Way ANOVA using SPSS
One Sample Sign Test using SPSS
Two Sample Sign Test using SPSS
One-way non-parametric ANOVA (Kruskal-Wallis test) in SPSS by Oxford Academic (Oxford University Press)
Normality test using SPSS: How to check whether data are normally distributed by Kent Löfgren
Chi Square Test of Independence
Book Title : introduction to statistical theory part II
Author : Prof. Sher Muhammad Chaudary
Publisher : Ilmi Kitab