Research Methods Section 3 (11 to 20)

What is the purpose of statistical analysis?

• To organize and understand data

• To collect new data

• To make research harder

• To avoid using numbers

What is inferential statistics used for?

• Finding the average of a dataset

• Predicting outcomes based on data

• Listing survey answers

• Drawing a pie chart

What is a continuous variable?

• A variable with only whole numbers

• A variable that can have any value

• A variable that never changes

• A yes/no variable

Why does sample size matter in statistics?

• It affects accuracy

• It makes research harder

• Small samples are always incorrect

• Large samples are always perfect

What does a 95% confidence level mean?

• The results are 100% correct

• There is a 95% chance the results reflect the population

• It is better than 90% confidence

• Errors can be ignored

What does cross-tabulation do?

• Shows relationships between two variables

• Increases sample size

• Eliminates errors

• Makes research easier

Which test compares the means of two groups?

• Pearson correlation

• t-test

• Regression analysis

• Spearman correlation

When should you use a parametric test?

• When data follows a normal distribution

• When data is highly skewed

• When the dataset is very small

• When unsure of data type

What does ANOVA test for?

• Differences between multiple group averages

• The relationship between two variables

• The accuracy of a survey

• The total number of participants

Why is the mean not always the best measure?

• It is hard to calculate

• It is affected by extreme values

• It is always correct

• It only works with large samples