WEEK 6

Question 1

what is descriptive statistics

Answer 1

describes the properties or characteristics of a dataset

Question 2

define inferential statistics

Answer 2

infers information about the nature of differences or relationships in a population of a sample

Question 3

describe nominal data and given an example

Answer 3

• data that is labelled or classified into mutually exclusive categories
• categories cannot be ordered in a meaningful way

eg the exercise

Question 4

describe ordinal data and give an eg

Answer 4

• data that are labelled or classified into mutually exclusive categories
• categories have a clear sequential order

eg kettlebell colour

Question 5

describe interval data and give an eg

Answer 5

• data is on a continuous scale, with equal interval points
• zero point is arbitrary

eg the date of a personal best

Question 6

describe ratio data and give an eg

Answer 6

• data on a continuous scale, with equal intervals between points
• zero point is absolute

eg age at personal best

Question 7

describe the mean

Answer 7

• the sum of all scores, divided by the number of scores
• the point where the Toal distance of points above it equals the total distance of the points below it
• each score has the same weight

Question 8

what are the advantages of x2 or disadvantages x2

Answer 8

• considers all values
• used in inferential statistics

disadvantages:

• sensitivty= if there are outliers to the mean can lead to misinterpretation
• only suitable for continuous data

Question 9

describe the median

Answer 9

• the middle point of all the scores
• if the number of scores is even the median would fall in between two scores, but usually the highest number is considered

Question 10

2x advantages, 1 x disadvantage

Answer 10

adv:

• does not consider the actual values of the score
• good for ordinal data, sometimes interval or ratio

dis:

• extremes have little impact on the measurement

Question 11

describe the mode

Answer 11

• the scores that occur most frequently
• if multiple scores occur most frequently, then there are multiple modes

Question 12

3 x advantages of mode and 2 x disadvantages of mode

Answer 12

adv;

• easy to calculate
• useful especially if data are normally distributed
• suitable for nominal scales

dis:
- it changes depending on the way we group the values
- less frequent scores have no impact

Question 13

define range

Answer 13

difference between the maximum and minimum scores

Question 14

define sample variance

Answer 14

considers all values and calculates the distance of each from the man

Question 15

define estimating population varies

Answer 15

we often want to estimate the variance in a population from a sample

Question 16

describe sample standard deviation

Answer 16

• the square root of the variance
• accounts for all scores and is meaningful

Question 17

define population standard deviation

Answer 17

to estimate the standard deviation in the population

Question 18

describe standard error of mean

Answer 18

• not a measure of variability, although it looks and sounds like one
• will be smaller and standard deviation