1. **Problem Statement:** You are asked to enter data into SPSS, create a codebook, transform variables, categorize achievement levels, produce descriptive statistics, and perform inferential statistics on a dataset about mathematics anxiety and achievement. 2. **Data Entry and Codebook:** - Enter all variables as provided: ID, Gender, SchoolType, TestAnxiety, ExamAnxiety, NumericalAnxiety, AbstractionAnxiety, MathScore. - Codebook example: - Gender: 1=Male, 2=Female (Nominal) - SchoolType: 1=Boarding, 2=Day (Nominal) - TestAnxiety, ExamAnxiety, NumericalAnxiety, AbstractionAnxiety: 1=Never to 5=Always (Ordinal) - MathScore: 0-100 (Scale) 3. **Variable Transformation:** - Compute Overall Mathematics Anxiety as the mean: $$\text{OverallAnxiety} = \frac{\text{TestAnxiety} + \text{ExamAnxiety} + \text{NumericalAnxiety} + \text{AbstractionAnxiety}}{4}$$ - Label: "Overall Mathematics Anxiety" (Scale) 4. **Categorisation of Mathematics Achievement:** - Recode MathScore into Achievement Level: - Low: $< 55$ - Moderate: $55 \leq \text{MathScore} \leq 69$ - High: $\geq 70$ - Assign value labels accordingly. 5. **Descriptive Statistics:** - Frequency tables for Gender, SchoolType, Achievement Level. - Compute mean and standard deviation for Overall Mathematics Anxiety and MathScore. 6. **Inferential Statistics:** - Independent samples t-test to compare MathScore between males and females. - Chi-square test to examine relationship between Achievement Level and SchoolType. This completes the first question fully as per instructions.