
Statistics
Presentation
•
Mathematics
•
10th Grade
•
Practice Problem
•
Medium
Tom Broadbent
Used 6+ times
FREE Resource
7 Slides • 43 Questions
1
Univariate Data and Bivariate Data Revision
Key Concepts...
Measures of centre
Measures of spread
Plotting a comparative box plot
Plotting a histogram
Grouped Data
Pearson's Correlation
Least Squares Regression Line
2
Measures of Centre (Raw Data)
The measures of centre we are concerned with are the mean and median. We need an understanding of the mode but we also need to recognise its vast limitations i.e. multiple modes or no mode is an option.
Consider the following raw data which shows the shoe sizes of Class 10A:
12 | 10 | 8 | 7 | 5 | 3 | 11 | 11 | 12 | 10 |
|---|---|---|---|---|---|---|---|---|---|
7 | 6 | 4 | 12 | 10 | 9 | 10 | 10 | 9 | 12 |
Therefore, the mean shoe size is 8.9
Organising the shoe sizes in ascending order, our median is 10. The CAS can help, our key code is: Menu - 4 - 1 - 1
3
Fill in the Blank
The median is the best measure of centre is it is not affected by ________
4
Multiple Choice
Consider the following data set:
12, 13, 15, 18, 20, 22, 22, 23, 25, 29, 35, 40
Mean = 22.8
Median = 22
Mean = 22
Median = 22.8
Mean = 24
Median = 22.5
Mean = 274
Median = 22
5
Multiple Choice
Find the mean: 12, 15, 18, 20, 24, 29, 30, 32
20
22.5
24.4
32
6
Multiple Choice
Find the median: 12, 15, 18, 20, 24, 29, 30, 32
15
20
22
24
7
Measures of Spread (Raw Data)
The measures of range we are concerned with are the range, interquartile range and the standard deviation. The range is the maximum - minimum, the IQR is the Upper Quartile - Lower Quartile and the standard deviation represents how close the values are to the mean.
Consider the following raw data which shows the shoe sizes of Class 10A:
12 | 10 | 8 | 7 | 5 | 3 | 11 | 11 | 12 | 10 |
|---|---|---|---|---|---|---|---|---|---|
7 | 6 | 4 | 12 | 10 | 9 | 10 | 10 | 9 | 12 |
Range = 12 - 3
Therefore, the range is 9.
IQR = 11 - 7
Therefore, the IQR is 4.
We'd expect the standard deviation to be close the the IQR.
In this example, the SD is 2.68.
8
Fill in the Blank
What percentage of the population lie between the LQ and UQ?
9
Multiple Choice
Consider the following data set:
2, 3, 3, 4, 5, 7, 7, 8, 10, 12, 14, 15, 16, 16, 20
What is the Range?
8
11
18
20
10
Multiple Choice
Consider the following data set:
2, 3, 3, 4, 5, 7, 7, 8, 10, 12, 14, 15, 16, 16, 20
What is the IQR?
8
11
18
20
11
Multiple Choice
Consider the following data set:
2, 3, 3, 4, 5, 7, 7, 8, 10, 12, 14, 15, 16, 16, 20
If the LQ was 4 and the UQ was 15.
What percentage of the data was over 15?
0%
25%
50%
75%
12
Multiple Choice
Consider the following data set:
2, 3, 3, 4, 5, 7, 7, 8, 10, 12, 14, 15, 16, 16, 20
If the LQ was 4 and the UQ was 15.
What percentage of the data was less than 15?
0%
25%
50%
75%
13
Multiple Choice
Consider the following data set:
2, 3, 3, 4, 5, 7, 7, 8, 10, 12, 14, 15, 16, 16, 20
If the Median was 8.
What percentage of the data was less than 8?
0%
25%
50%
75%
14
Multiple Choice
Minimum = 10
Lower Quartile = 12
Median = 15
Upper Quartile = 20
Maximum = 30
What percentage of the results lie between 12 and 20?
0%
25%
50%
75%
15
Multiple Choice
Minimum = 10
Lower Quartile = 12
Median = 15
Upper Quartile = 20
Maximum = 30
What percentage of the results lie between 15 and 20?
0%
25%
50%
75%
16
Outliers
Outliers represent extreme values. Our CAS can determine outliers for us and it represents an outlier with an enclosed circle. We need to be able to find the upper and lower fences associated with outliers.
Consider the following raw data which shows the shoe sizes of Class 10A:
12 | 10 | 8 | 7 | 5 | 3 | 11 | 11 | 12 | 10 |
|---|---|---|---|---|---|---|---|---|---|
7 | 6 | 4 | 12 | 10 | 9 | 10 | 10 | 9 | 12 |
Anything less than 1 or greater than 17 would be considered outliers.
17
Multiple Choice
Find the outlier:
12, 15, 18, 20, 100
12
15
20
100
18
Multiple Choice
The upper fence for the following data is: 10, 14, 16, 18, 20, 23, 40, 60, 100, 120, 300
-110
16
226
180
19
Multiple Choice
The outlier(s) for the following data set is: 3, 4, 6, 8, 10, 13, 23, 45, 65, 150, 300
3
3 and 4
150 and 300
300
20
Box Plots
Consider the following raw data which shows the shoe sizes of Class 10A:
12 | 10 | 8 | 7 | 5 | 3 | 11 | 11 | 12 | 10 |
|---|---|---|---|---|---|---|---|---|---|
7 | 6 | 4 | 12 | 10 | 9 | 10 | 10 | 9 | 12 |
21
Multiple Choice
What is the median of this data set?
8
12
15
19
22
Multiple Choice
23
Multiple Choice
24
Multiple Choice
Which group has a greater median shopping time?
Group A
Group B
They're the same.
You can't tell.
25
Multiple Choice
Which group has a smaller interquartile range?
Group A
Group B
They're the same.
You can't tell.
26
Multiple Choice
What do points B and D represent on the box plot?
Mean and Mode
Mean and Median
Least and Greatest Value
First and Third Quartiles
27
Grouped Data
Grouped data is used to group larger categories and intervals. We need to be able to find the estimated mean, the median and modal class, the range and the cumulative frequency.
Height (h) | Frequency | Midpoint | fx | cf |
|---|---|---|---|---|
121 - 130 | 8 | 125 | 1000 | 8 |
131 - 140 | 10 | 135 | 1350 | 18 |
141 - 150 | 7 | 145 | 1015 | 25 |
Total | 25 | | 3365 | |
Therefore the estimated mean will be 134.6.
The median value will be in the 13th position, therefore the category will be 131 - 140.
The modal class is 131 - 140.
The range will be 30.
28
Multiple Choice
The sum of the frequency column is 34, the sum of the fx column is 156. Find the estimated mean.
0.22
5,304
122
4.6
29
Multiple Choice
The midpoint for the following grouped data is: 10<b≤18
14.5
15
13
14
30
Multiple Choice
Find the mean of the given data sets.
31
28
23
30
31
Multiple Choice
Which is the modal class?
4 - 6
7 - 9
10 - 12
16 - 18
32
Multiple Select
For this table of data, what is the modal class?
0-<10
30-<40
20-<30
40-<50
33
Multiple Select
For this grouped data, which is the median class?
20-<30
30-<40
40-<50
0-<10
34
Multiple Select
For this grouped data, what is the mean?
20
25
27
30
35
Fill in the Blank
This is an example of which type of skew?
36
Fill in the Blank
This is an example of which type of skew?
37
Fill in the Blank
This is an example of which type of skew?
38
Bivariate Data
Bivariate Data compares two sets of data i.e. Height Vs. Weight. The Explanatory Variable (EV) is the variable which is not affected. It is positioned on the x-axis. The Response Variable (RV) is affected by the EV, it is positioned on the y-axis.
Pearson's Correlation is represented by the letter r. It gives the correlation between the two variables. The value should be between -1 and +1, when describing the data we focus on the strength and direction.
The least squares regression equation provides an accurate line of best fit. We usually substitute x and y for the variables in the question. We utilise the equation for predictions and forecasting.
39
Fill in the Blank
An r-value of -0.798 would be described as ...
40
Fill in the Blank
If Pearson's Correlation was 0.26, we would describe the correlation as... ?
41
Multiple Choice
The study is to analyse the effects of sun screen on catching skin cancer. Which is the EV?
Sun Screen
Skin Cancer
Not enough information is provided
Medicare
42
Multiple Choice
If Pearson's Correlation is 0.7456, that could be described as?
No Correlation
Weak, Positive, Linear Correlation
Strong, Positive, Linear Correlation
Moderate, Positive, Linear Correlation
43
Multiple Choice
The least squares equation was: No. of Accidents=100−4.5×No. of Lessons
Which value is the RV?
No. of Accidents
No. of Lessons
10.2
We can't possibly know
44
Multiple Choice
The least squares equation was: No. of Accidents=100−4.5×No. of Lessons
A student having 20 lessons would be expected to have how many accidents?
45
30
10
100
45
Multiple Choice
The least squares equation was: No. of Accidents=100−4.5×No. of Lessons
A student has 5 accidents, how many lessons do we estimate they have had?
4.5
20
21
35
46
Multiple Choice
Which value for Pearson's Correlation would we expect to see when comparing the number of hot pies sold and the temperature.
0.65
0.2
-0.1
-0.8
47
Multiple Choice
Describe the type of linear correlation between the two variables
Strong positive
Weak positive
Strong Negative
No correlation
48
Multiple Choice
Which sentence describes the relationship shown on this scatter plot?
As the temperature decreases, the visitors increase.
As the temperature increases, the number of visitors increases.
As the visitors increase, the temperature decreases.
No correlation
49
Draw
Draw a line of best fit on the scatter plot below:
50
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Univariate Data and Bivariate Data Revision
Key Concepts...
Measures of centre
Measures of spread
Plotting a comparative box plot
Plotting a histogram
Grouped Data
Pearson's Correlation
Least Squares Regression Line
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