Data Analysis

Question 1

What is normal distribution ?

Answer 1

• where most scores cluster around the mean with an equal number of scores above and below the mean
• perfectly symmetrical
• central tendency are exactly at its peak

Question 2

What is skewed distribution ?

Answer 2

• scores are not distributed equally = has long tail on one side than the other

Question 3

Negative and positive skew

Answer 3

• negative skew= long tail on left side (- side of the peak )
• positive skew= long tail on right side ( + side of the peak )

Question 4

What is central tendency ?

Answer 4

• is a measure of summary statistics, use to describe a set of data by identifying central value to represent the whole = mean mode median

Question 5

Evaluation of mean

Answer 5

+ all values in data set are included = always 0 deviation
- can be affected by extreme scores = lead to misleading description with a heavily skewed distribution

Question 6

Evaluation of mode

Answer 6

+ good at finding average of categorical data
- less good for continuous data since less likely to have another person has the exact same score

Question 7

Evaluation of median

Answer 7

+ not affected by outliners = better indication of typical situation
- time consuming

Question 8

What is dispersion ?

Answer 8

• how spread out data is around the measures of central tendency
• large dispersion = inconsistent = behave differently
• small dispersion = consistent = behave similarly

Question 9

Ways of measuring dispersion

Answer 9

• range
• standard deviation

Question 10

Evaluation of range

Answer 10

+ useful as a rough guide to the variability shown by the data = shows comparison
- only gives limited amount of info as data set are skewed