week 3

Question 1

Descriptive statistics focus

Answer 1

Descriptive statistics focuses directly on summarising and presenting data.

Tables and data visualisation (e.g. graphs) portray the data.

e.g. histograms, scatter plots, and line graphs

Question 2

what are descriptive measures used to

Answer 2

descriptive measures are used to summarise data

Question 3

what is descriptive statistics commonly divided into

Answer 3

Descriptive statistics is commonly divided into measures of central tendency and measures of variability.

Question 4

what does measure of central tendency focus on

Answer 4

Measures of central tendency focus on the average or middle values.

Question 5

what does measures of variability focus on

Answer 5

Measures of variability focus on the dispersion of data

Question 6

measures of central tendency

Answer 6

Measures of central tendency describe the center position of a distribution for a dataset.

Examples of measures of central tendency include the mean, median, and mode.
only a partial picture of a data set

Question 7

mean median & mode

Answer 7

The mean (average) of a data set is found by adding all numbers in the data set and then dividing by the number of values in the set. The median is the middle value when a data set is ordered from least to greatest. The mode is the number that occurs most often in a data set.

Question 8

measures of variability

Answer 8

Measures of variability (or the measures of spread) aid in analysing how dispersed is a data distribution.

For example, while the mean of the data maybe 65 out of 100, there can still be data points at both 1 and 100.

Question 9

measures of variability

Answer 9

Measures of variability help communicating this by describing the shape and spread of the dataset.

Variance, range, and quartiles are examples of measures of variability.