Presentation of quantitative data + Maths skills Flashcards
1
Q
What does a bar chart represent?
A
- Type of graph in which the frequency of each variable is represented by the height of the bars
2
Q
When should bar charts be used?
A
- data is divided into categories (discrete data)
3
Q
How should data on bar charts be plotted?
A
- categories should occupy the x-axis
- the frequency/amount of each category plotted on the y-axis
- bars should be separated to denote that we are dealing with separate conditions ( categories not continuous)
- always have a title, label columns & axis
4
Q
What does a histogram represent?
A
- A type of graph which shows frequency, the area of the bars (not just height) represent frequency
5
Q
When should histograms be used?
A
- when data is continuous e.g. scores, age
6
Q
How should data on histograms be plotted?
A
- x-axis must start at 0
- x axis is made of equal sized intervals of a single category
- y axis represents the frequency within each interval
- if there is a zero frequency for one of the intervals, interval remains the same with no bar
- always have a title, label columns & axis
7
Q
What type of data is represented on a scatter graph?
A
- represents the strength & direction of the relationship between co-variables in a correlational analysis
8
Q
How should data be plotted on a scatter graph?
A
- co-variables can occupy either axis
- always have a title, label columns & axis
9
Q
What does a normal distribution represent?
A
- A symmetrical spread of frequency data that forms a bell shaped pattern
10
Q
Characteristics of a normal distribution
A
- most items are located in the middle area of the curve (very few at extreme ends)
- the mean, mode & median all occupy the same midpoint of the
curve, highest peak (same/similar) - tails of the curve never touch the x-axis (never reach zero)
11
Q
What is a skewed distribution?
A
- spread of frequency data that is not symmetrical, data clusters to one end
12
Q
What is a posiitve skew?
A
- a type of frequency distribution in which the long tail is on the positive (right) side of the peak & most of the distribution is concentrated on the left
- produced when scores are mostly low
13
Q
How are the measures of central tendency affected by a positive skew?
A
- The mode remains at the highest point of the peak
- median next
- mean is dragged towards tail to the right (extreme scores affect the mean)
14
Q
What is a negative skew?
A
- a type of frequency distribution in which the long tail is on the negative (left) side of the peak and most of the distribution is concentrated on the right
- produced when scores are mostly high
15
Q
How are the measures of central tendency affected by a negative skew?
A
- mode is at the highest peak
- median next
- mean pulled to towards tail left of peak (due to lower scores)