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1 | Introduction to Statistics
Giving information about the aim, scope and resources of the course
Introduction to Statistics
Use of Statistics in Research
Descriptive and Predictive Statistics
Population, Sample | SPSS Setup | General introduction of SPSS |
2 | Basic Concepts (Variables, Scales) Frequency Distributions Using Tables and Graphs
Frequency Distributions
Tables and Properties
Table Types
Frequency Table
Crosstab
Graphics and Features
Chart Types
Bar, Pie, Histogram, Boxplot, Line, Scatter (Scatter plot) | Entering data into SPSS
frequency table creation
Graph creation | Entering data into SPSS
frequency table creation
Graph creation |
3 | Central Tendency and Distribution Measures
Central Tendency Measures
Mean, Median, Mode
Central Distribution Measures
Variance, Standard Deviation, Range, Quarter Deviation(Interquartil), Percentile | Cleaning up data
Re-coding
Total score and average score calculation
Descriptive statistics applications | Cleaning up data
Re-coding
Total score and average score calculation
Descriptive statistics applications |
4 | Normal Distribution, Skewness and Kurtosis
Normal distribution
Standard Normal Distribution (Z-Score)
Distortion
Kurtosis
Normality Tests and reporting
Kolmogorov-Smirnov Test
Shapiro-Wilk Test
Transforming Data | Checking the normal distribution | Checking the normal distribution |
5 | Tests and General Principles
Precision Level
Range Estimation
Sample Distribution
Central Limit Theorem
Standard error
Confidence Interval
meaningfulness
assumptions | Data Entry application | Data Entry application |
6 | Hypothesis Testing Process
Hypothesizing
Zero Hypothesis (Null Hypothesis)
Counter-Hypothesis/Research Hypothesis (Alternative Hypothesis)
Setting the Decision Rule
Test Calculation
One-way and Two-Way Test (Onetailed two-tailed test)
Significance Value (pvalue)
Type I and Type II error (Type I and Type II error)
Statistical Power
To decide | Hypothesis testing questions | |
7 | MIDTERM EXAM | | |
8 | t-Test
What is t-test?
t-test Assumptions
t-test types
Single sample t-Test (Onesample t-test)
Reporting | Making dependent and independent samples t-test on the data, interpreting it, writing the APA conclusion section | Making dependent and independent samples t-test on the data, interpreting it, writing the APA conclusion section |
9 | Analysis of Variance
What is Analysis of Variance?
Analysis of Variance Assumptions
Variance Homogeneity (Levene Test)
Rate of Variability
Types of Analysis of Variance
One Way Variance
analysis
For Repeated Measurements
One-way ANOVA
Factorial ANOVA
Covariance Analysis
One-way ANOVA
Multiple Comparison Tests (Post hoc) | One-way ANOVA on the data, interpretation, writing APA result section | One-way ANOVA on the data, interpretation, writing APA result section |
10 | correlation
correlation
Scatter Diagrams
Correlation Value
Co-Exchange
Correlation Coefficients
Explanatory Coefficient
Ranking Data
Factors Affecting Correlation
Extreme Situations
Correlation and Reasoning
Correlation Analysis
Pearson Correlation
Spearman Correlation
Partial Correlation
Effect Size
Reporting
What is Regression? | Correlation on data, interpretation, writing APA results section | Correlation on data, interpretation, writing APA results section |
11 | Non-Parametric Tests
Chi-square (Ki Kare)
Mann-Whitney U Test
Wilcoxon’s Matched-Pairs Tests
Signed-Ranks Tests
Kruskal-Wallis Tests
Friedman’s Rank Tests | Performing and interpreting non-parametric tests on data | Performing and interpreting non-parametric tests on data |
12 | Practice Session | Performing parametric and non-parametric tests on the given data | |