1. Why do we use samples? (1)

1. What is a model's 'fit'? How can it be assessed? (2)

1. Why do we use the 0.05 (95%) confidence interval when assessing statistical significance? (2)

1. Provide 2 examples of type I error: (2)

TYPE I ERRORS

EXAMPLE: Concluding that there is a significant difference between English-speaking and French-speaking Canadians with regards to their liking of Beavertails when in fact there is not.

1. Provide 2 examples of type II error: (2)

TYPE II ERRORS

EXAMPLE: Accepting the null hypothesis that there is no difference between males and females with regards to their purchase of fast food when in fact there is an effect in the population.

1. Provide 2 examples of directional hypotheses: (2)

ONE-TAILED HYPOTHESES

EXAMPLE: The more hours spent surfing the internet, the more effective are banner ads.

1. Provide 2 examples of non-directional hypotheses: (2)

TWO-TAILED HYPOTHESES

EXAMPLE: There is a relationship between age and employee engagement.

1. Determine the following statistics for the following data distribution without using SPSS (or any other type of calculator). Show your work. What can be said about this distribution? (4)

2, 3, 7, 2, 2, 6, 5, 1, 4, 6, 7, 1, 4, 7, 5, 5, 3, 6, 3, 4, 2, 5, 4, 2, 1

Mean, Median, Mode, Sum of Squares, Variance, Standard Deviation