Distributions

Question 1

What is normal distribution?

Answer 1

Normal distribution – symmetrical, bell-shaped curve. Most items are in the middle area of the curve with very few at the extreme ends.

The mean, median and mode all occupy the same mid-point of the curve

Question 2

What is a skewed distribution?

Answer 2

Skewed distribution – distributions that leans to one side because most items are either at the lower or upper end of the distribution.

Question 3

What is a negative skewed distribution?

Give an example

Answer 3

Most of the distribution is concentrated towards the right of the graph resulting in a long tail on the left. Resulting in the long tail of anomalous scores on the left.

E.g., a very easy test in which most people get a high marks would produce a negative skew.

The mode is the highest point of the peak, the median comes next, and the mean is dragged across to the left (if the scores are arranged from lowest to highest)

Question 4

What is a positive skewed distribution?

Give an example

Answer 4

Most of the distribution is concentrated towards the left of the graph, resulting in a long tail on the right.

E.g., a very difficult test in which most people get low marks would produce a positive skew.

The mode is the highest point of the peak, the median comes next, and the mean is dragged across to the right (if scores are arranged from lowest to highest).

Question 5

Understand this

Answer 5

Question 6

Look

Answer 6