Graphs & Distributions Flashcards

(36 cards)

1
Q

● What is meant by a distribution?

A

The spread of a data set showing possible values and how frequently each occurs

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2
Q

● What does a normal distribution curve look like?

A

Symmetrical curve

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3
Q

● Where do the mean, median, and mode lie in a normal distribution?

A

Around the same midpoint on the curve

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4
Q

● What is a positive skew?

A

Most data on the left, long tail on the right

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5
Q

● What is a negative skew?

A

Most data on the right, long tail on the left

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6
Q

● Which type of graph would you use to display frequencies of scores in categories?

A

Bar chart

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7
Q

● Which type of graph would you use to display frequencies of continuous data?

A

Histogram

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8
Q

● Which type of graph displays the relationship between two co-variables?

A

Scattergraph

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9
Q

● What does discrete data mean?

A

Data can be categorised into groups

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10
Q

● What does continuous data mean?

A

Data measured using scientific tools, e.g. height, weight, time

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11
Q

● On a bar chart, should the bars touch each other?

A

No

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12
Q

● On a histogram, should the bars touch each other?

A

Yes

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13
Q

● What should you always plot first when drawing a distribution curve?

A

The mode

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14
Q

● What does each plot represent in a scattergraph?

A

One participant but two scores

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15
Q

● What do you plot on the y-axis of a bar chart?

A

Amount (e.g. mean number) of each category

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16
Q

● What type of data is plotted on the horizontal axis of a histogram?

A

Scores made up of equal sized intervals

17
Q

● What is a correlation coefficient?

A

A value indicating the strength and direction of a relationship

18
Q

● What does a correlation coefficient of +0.7 indicate?

A

Strong positive correlation

19
Q

● What does a correlation coefficient of -0.7 indicate?

A

Strong negative correlation

20
Q

● What value indicates no correlation?

21
Q

● Which type of data does a histogram represent?

A

Continuous data or individual scores for each participant

22
Q

▲ Why is it important to label the axis operationally on a graph?

A

To clearly show what is being measured

23
Q

▲ Why are bars in a bar chart not touching?

A

To show separate conditions (discrete data)

24
Q

▲ Why should you use a bar chart for mean values from two groups?

A

Because the conditions are categories

25
▲ When would you use a histogram instead of a bar chart?
When data is continuous or frequencies for intervals
26
▲ Why would you use a scattergraph?
To show the relationship between two co-variables
27
▲ If a test is very easy, what skew is likely?
Negative skew
28
▲ If a test is very hard, what skew is likely?
Positive skew
29
▲ Why might a researcher use a frequency table before drawing a histogram?
To group scores into intervals for plotting
30
▲ What does a strong positive correlation mean in terms of data points?
As one variable increases, so does the other
31
▲ What does a strong negative correlation mean?
As one variable increases, the other decreases
32
▲ Why do you plot the mode first when drawing a normal distribution?
It shows where most of the distribution will be
33
▲ What is the purpose of using a bar chart in psychological research?
To compare conditions with categorical data
34
✪ Explain how to choose between a bar chart and histogram for psychological data.
Bar charts: Used to display DISCRETE/CATEGORICAL data. Used when data is divided into categories. Histograms: Used to display CONTINUOUS data or data where each participant has an individual score.
35
✪ Critically discuss the purpose of a scattergraph in psychological research
Scattergraph: Used to display a RELATIONSHIP between two co-variables. Each plot on the graph represents ONE ppt but TWO scores (one score from each co-variable).
36
✪ Explain what discrete and continuous data are and how they are represented graphically.
Discrete Data – Information/findings that can be categorised into groups, the data can only appear in one category. Continuous Data – Data that can be measured using scientific tools e.g. height, weight, time or an individual score for each participant.