Descriptive Statistics

Question 1

Name 3 measures of central tendency.

Answer 1

Mean
Mode
Median

Question 2

How do you calculate the mean?

Answer 2

add all numbers and divide by the amount

Question 3

What is the median?

Answer 3

The middle number

Question 4

What is the mode?

Answer 4

The most common number(s)

Question 5

What is a strength and limitation for using the mean?

Answer 5

-Representative of all scores
-Can be skewed by extreme scores

Question 6

What is a strength and limitation for using the median?

Answer 6

-Not skewed by extreme scores
-Doesnt take all scores into account

Question 7

What is a strength and 2 limitations for using the mode?

Answer 7

S-Can be used on all data
L-May be several modes
-Ignores other scores

Question 8

When do you use the mean?

Answer 8

When there are no extreme scores

Question 9

When do you use the median?

Answer 9

When there are 1 or more extreme scores

Question 10

When do you use the mode?

Answer 10

When the data is categorical
(multiple of the same number)

Question 11

What is normal distribution?

Answer 11

When mean mode and median are roughly the same

Question 12

What is a positive skew?

Answer 12

Where the mean is higher than the mode

Question 13

What is a negative skew?

Answer 13

When the mean is lower than the mode

Question 14

Name 2 measures of dispersion

Answer 14

Range
Standard deviation

Question 15

How do you calculate the range?

Answer 15

Minus the little number from the big number

Question 16

Why is it better to use standard deviation over range on a set of data?

Answer 16

SD more accurate because it takes into account the distance of every score to the mean

Question 17

If the standard deviation is low what does this suggest?

Answer 17

That there’s little variation in scores as they’re clustered around the mean

Question 18

If the standard deviation is high what does this suggest?

Answer 18

That there’s a greater variation in scores from the mean

Question 19

What is dispersion?

Answer 19

How far the scores are spread out

Question 20

What is nominal data?

Answer 20

-The most basic type of data represented in the form of categories

-can count number in each category like tally’s (no individual scores)

-variables are not numeric

Question 21

Give an example of nominal data

Answer 21

Q- whats your fav breakfast

A- choice of 3 pics (cereal, toast, banana)

Question 22

What is ordinal data?

Answer 22

Data ordered in some way and it doesn’t have equal intervals

-It’s often subjective (opinion based)

-scores can be ranked in order but gaps between scores ain’t equal due to subjective

(Rate your anxiety 0-10, gaps between 7 to 8 and 8 to 9 not the same as its opinions not facts)

Question 23

Give an example of ordinal data

Answer 23

stress score out of 20

Ppt 1- score 2
Ppt 2- score 5
Ppt 3- score 7
Ppt 4- score 14
Ppt 5-score 16
Ppt 6- score 16

Question 24

What is interval data

Answer 24

-data based on numerical scales which have equal units (intervals)

-most precise form of data and are objective

Question 25

Give an example of interval data

Answer 25

time Temperature Weight

Question 26

Use ‘measuring sleep quality’ as an example for all 3 types of data

Answer 26

Nominal level- How many hrs of sleep do u get A. More than 8 B. Less than 8 Ordinal level- on a scale of 1 to 10 how good do u feel after sleep 0=not at all, 10=well rested Interval level- How many hours sleep do you get each night?