Statistics 2

Question 1

What is central tendency?

Answer 1

A typical score around which the other scores are scattered

Question 2

Another term for ‘normal distribution’

Answer 2

Symmetrical distribution

Question 3

Another term for ‘skewed distribution’

Answer 3

Asymmetrical distribution

Question 4

What are the 3 types of central tendency?

Answer 4

Skewed left (tail) = negative
Skewed right (tail) = positive
Symmetric

Question 5

What are the 3 measures of central tendency?

Answer 5

Mean (average)
Median (middle number)
Mode (most frequent)

Question 6

When should you not use the mean?

Answer 6

If influenced by outliers.

Use the median instead

Question 7

What is the best measure of central tendency for NOMINAL data?

Answer 7

Mode

Question 8

What is the best measure of central tendency for ORDINAL data?

Answer 8

Median

Question 9

What is the best measure of central tendency for INTERVAL SYMMETRIC data?

Answer 9

Mean

Question 10

What is the best measure of central tendency for INTERVAL ASYMMETRIC data?

Answer 10

Median

Question 11

Considering Shapiro-Wilk a sig. figure of >0.05 is the data normally distributed or skewed?

Answer 11

Normally distributed

Question 12

How do you calculate the interquartile range?

Answer 12

Q3 - Q1

Question 13

Should you use a boxplot for mean, SD, median and IQR for a small or large sample size?

Answer 13

Small sample size;

Mean & SD = normal distribution

Median & IQR = NON-normal distribution

Question 14

What is variance?

Answer 14

How widely the scores are
dispersed around the mean.

Near the mean = small variation

Far from the mean = large variation

Question 15

What is used to describe dispersion?

Answer 15

Range (= largest - smallest value)

Variance (= sum of the squared distance, of each score away from the mean)

SD (= positive sq root of the variance)

Question 16

Say what the SD covers for;
1SD
2SD
3SD

Answer 16

1SD = 0.68 / 68%

2SD = 0.95 / 96%

3SD = 0.997 or 99.7%