Analysing Quantitative Data

Question 1

What are 3 ways of analysing quantitative data?

Answer 1

1. Mean
2. Median
3. Mode

Question 2

What are 2 measures of dispersion?

Answer 2

1. Range

2. Standard deviation

Question 3

What is the mean, and what is 1 advantage and 1 disadvantage of it?

Answer 3

The average of all of the data.
A - more sensitive than the median because it uses all of the values of the data.
D - can be misrepresentive if there is an extreme anomaly.

Question 4

What is the median, and what is 1 advantage and 1 disadvantage of it?

Answer 4

The middle number of all of the data.
A - not affected by extreme scores.
D - less sensitive than the mean as it doesn’t use all of the values.

Question 5

What is the mode, and what is 1 advantage and 1 disadvantage of it?

Answer 5

The value that appears most often.
A - useful when the data is categorised.
D - not useful when there are several modes.

Question 6

What is the range, and what is 1 advantage and 1 disadvantage of it?

Answer 6

The difference between the highest and the lowest numbers.
A - quick and easy to calculate.
D - affected by extreme values.

Question 7

What is standard deviation, and what is 1 advantage and 1 disadvantage of it?

Answer 7

SD tells us the average distance of each score from the mean.
A - more precise measure of dispersion as all values are taken into account.
D - can be difficult to calculate.

Question 8

What are 2 aspects to a bar chart?

Answer 8

1. Used to represent data that is in categories.

2. Bars do not touch and have equal spacing.

Question 9

What are 3 aspects of a histogram?

Answer 9

1. Used to represent data on a continuous scale.
2. Columns touch.
3. Height of the column shows the frequency of the values.

Question 10

What are 3 aspects of a frequency polygon?

Answer 10

1. Can be used as an alternative to a histogram.
2. Lines show where mid-points of each column on a histogram would reach.
3. Useful for comparing 2 or more conditions simultaneously.

Question 11

What are 4 aspects of a scatter-gram?

Answer 11

1. Used for measuring the relationship between 2 variables.
2. The pattern of plotted points reveals the type of correlation.
3. Correlations can be positive or negative.
4. The extent to which the variables are related is measured by a correlation coefficient.