Type I and II Errors / Normal and Skewed Distribution

Question 1

Type I

Answer 1

Occurs when a researcher rejects a null hypotheses that is true.

Question 2

Type II

Answer 2

Occurs when a researcher accepts a null hypotheses thats false.

Question 3

Normal Distribution

Answer 3

Occurs when certain variables are measured (IQ). These variables are distributed so that most of the scores are clustered around the mean, median and mode.

Question 4

Skewed Distribution

Answer 4

The mean, median and mode do not share the same value.

Positive skew - most scores are bunched to the left of the mean because the mean is dragged to the right by extreme scores tailing in positive direction.

Negative skew - Most scores are bunched to the right and some tail off in a negative direction.