distributions

Question 1

normal distributions

Answer 1

-normal and skewed distribution
-when the mean, median and mode of any data set are similar, it creates a normal distribution

Question 2

skewed distribution

Answer 2

• Not all data sets are normally distributed.
• Sometimes the majority of scores fall above or below the mean, which creates either a negative or a positive skew.
• The mode remains the highest point on the curve, but the median and the mean are affected by extreme scores

negative skew-majority of scores are clustered towards right

positive skew-majority of scores clustered towards left uh

Question 3

interpreting

Answer 3

• 12A is normally distributed
• The mean, median and mode are roughly the same and are in the middle of the curve.

• 12B is positively skewed
• The mode comes first and is the highest point, followed by the median and then the mean.
• Creates an early peak and then drops off
• Suggests the test was too hard.(most scores towards left but some high scores which drags the mean)

• 12C is negatively skewed
• The mode and the median are both higher than the mean.
• Creates a late peak.
• Suggests the test was too easy.

Question 4

drawing

Answer 4

• It is not about getting the height right for the curve perfect.
• It is about the shape.
• Understanding when a negative or positive skew occurs and what it looks like.
• Mean mode and median go on the X-axis and the mode is the highest point