Representations of Data Flashcards

1
Q

Outlier

A

Value that is 1.5 times the IQR above the UQ or below the LQ

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

Histograms

to calculate height of each bar (frequency density)

A

area of bar = k x frequency

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

Histograms pt.2
If k = 1 then:
frequency density =

A

Frequency / class width

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

Drawing frequency polygons

A

Remember to join the MIDDLE of the top of each bar in a histogram

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

Feature of a Histogram

A

Area of the bar is proportional to the frequency

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

When comparing data sets, if the data set contains extreme values then

A

it is better to use the median and IQR rather than mean and standard deviation

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

Bivariate Data

A

data which has pairs of values for two variables

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

Independent variable also known as

A

explanatory variable - is on the x-axis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

Dependent variable also known as

A

response variable - is on the y-axis

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

Regression Line definition

A

Straight line that minimises the sum of the squares of the distances of each data point from the line

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

Regression line of y on x written as

A

y = a + bx
coefficient b tells you the change in y for each unit change in x (contextualise in exam questions)
Use it to predict the values for the dependent variable that are within the given range of data

How well did you know this?
1
Not at all
2
3
4
5
Perfectly