Mastering Data Analysis

What does "recoding variables" in data processing mean?

• Re-entering the data

• Changing the values of variables into new categories

• Sorting variables in a dataset

• Deleting unwanted variables

Which technique is used to identify outliers in a dataset?

• Frequency analysis

• Box plot

• Correlation

• Chi-Square Test

Which of the following represents a null hypothesis (H₀)?

• The sample data supports the research question.

• There is no significant relationship or difference.

• The variable is positively correlated.

• The statistical test is invalid.

What is the significance level commonly used in hypothesis testing?

• .05

• .01

• .001

• All the above

The Chi-Square Test is typically used to analyze:

• The relationship between two categorical variables

• Differences in group means

• Linear relationships between variables

• Variances between groups

Why is it important to test for normality before applying parametric tests?

• To ensure sample size adequacy

• To check if the data is skewed

• Parametric tests assume the data follows a normal distribution

• To avoid data recoding

Which of the following is an example of a ordinal variable?

• Gender

• Marital status

• Hight

• Performance Rating

Which function in SPSS is used to compute new variables from existing ones?

• Transform

• Compute Variable

• Recode into Different Variables

• Data Cleaning

Which technique is typically used to handle missing values in SPSS?

• Delete the missing values

• Replace with the mean

• Create dummy variables for missing data

• Use advanced machine learning techniques

What does a p-value less than 0.05 typically indicate in hypothesis testing?

• The null hypothesis is accepted.

• The null hypothesis is rejected.

• The data is normal.

• The test is invalid.