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WorksheetsStatistics Unit Review
Total questions: 67
Worksheet time: 3hrs 52mins
Name
Class
Date
1.
How many students were greater than 55 inches tall but less than 70 inches tall?
a)
13
b)
15
c)
16
d)
17
2.
The histogram shows the birth weights of 100 new born babies. How many babies weighed 8 pounds or more?
a)
22
b)
23
c)
30
d)
45
3.
Describe the data distribution shape of the graph.
a)
Skewed right
b)
Skewed left
c)
Uniform
d)
Symmetrical
4.
Shape?
a)
Skewed right
b)
Skewed left
c)
Symmetric
d)
Unimodal
5.
Center and spread?
a)
Median and Inter-Quartile Range
b)
Mean and Standard Deviation
c)
Median and Range
d)
Mean and Range
6.
1. Which of the following best describes the process of finding the range for a set of data?
a)
ADD the biggest and smallest numbers
b)
Place the number in order from least to greatest then find the middle.
c)
Find the difference between the Maximum and the Minimum.
d)
Find the average.
7.
A data set can have more than one median?
a)
True
b)
False
8.
a)
the spread of 5th period is greater than 2nd period
b)
the spread of 2nd period is greater than 5th period
c)
5th period is skewed right
9.
Describe the shape of the graph.
a)
Symmetrical
b)
Skewed
c)
Uniform
10.
Describe the shape of Daniel's data
a)
skewed
b)
uniform
c)
symmetrical
11.
21. How many students are represented by the histogram?
a)
Cannot be determined
b)
9
c)
31
d)
35
12.
What is the class width for this frequency table?
a)
4
b)
5
c)
10
d)
25
13.
For which of the following variables would it be most appropriate to construct a histogram?
a)
Television brand
b)
Insect species
c)
Gender
d)
Eye color
e)
Phone call length
14.
A random sample of students was given five minutes to solve as many short puzzles as possible. The results by gender are displayed in the dotplots. Which of the following is FALSE statement?
a)
75% of girls finished 4 or more puzzles
b)
The distribution of female scores is skewed right.
c)
The distribution of male scores is roughly symmetric.
d)
Both distributions are unimodal.
e)
Females performed better on the challenge of solving short puzzles in the five minutes allotted.
15.
Which of the following is NOT true about the graph?
a)
Potential outlier
b)
Centered at about 35
c)
skewed right
d)
not symmetric
16.
Which of the following is NOT true about the graph?
a)
symmetric
b)
bimodal
c)
centered at about 10
d)
range of 10
17.
A random sample of grocery shoppers were asked whether or not they support higher speeding fines in town. A reporter concludes that more females than males support higher fines. Is he correct in his reasoning?
a)
Yes. 62 is greater than 45.
b)
Yes. More females than males participated in the study.
c)
No. A higher percentage of males than females supported higher fines.
d)
No. Fewer males than females participated in the study.
18.
How many students got an ACT composite score of 22?
a)
Cannot be determined
b)
9
c)
31
d)
35
19.
Type of Data arrangement
a)
Symmetrical
b)
Hairline
c)
Skewed Right
d)
Skewed Left
20.
What is the shape of the distribution?
a)
Skewed Left
b)
Skewed Right
c)
Symmetric
d)
Bimodal
21.
What is the shape of the distribution?
a)
Skewed Left
b)
Skewed Right
c)
Symmetric
d)
Bimodal
22.
What is the shape of the distribution?
a)
Skewed Left
b)
Skewed Right
c)
Symmetric
d)
Bimodal
23.
Find the mean of the following data:
42, 58, 67, 55, 40, 69, 66, 51, 46, 48, 68
42, 58, 67, 55, 40, 69, 66, 51, 46, 48, 68
a)
55.45
b)
10.34
c)
55
d)
10.85
24.
Find the maximum for the following data:
42, 58, 67, 55, 40, 69, 66, 51, 46, 48, 68
42, 58, 67, 55, 40, 69, 66, 51, 46, 48, 68
a)
40
b)
46
c)
69
d)
67
25.
Find the median for the following data:
14, 11, 8, 1, 23, 20, 17, 5, 19, 10, 12, 22
14, 11, 8, 1, 23, 20, 17, 5, 19, 10, 12, 22
a)
13.5
b)
6.63
c)
13
d)
6.92
26.
Find the Q1 for the following data:
14, 11, 8, 1, 23, 20, 17, 5, 19, 10, 12, 22
14, 11, 8, 1, 23, 20, 17, 5, 19, 10, 12, 22
a)
9
b)
1
c)
19.5
d)
23
27.
Find the Q3 for the following data:
14, 11, 8, 1, 23, 20, 17, 5, 19, 10, 12, 22
14, 11, 8, 1, 23, 20, 17, 5, 19, 10, 12, 22
a)
9
b)
1
c)
19.5
d)
23
28.
Find the IQR for the following data:
107, 92, 111, 119, 99, 100, 89, 94, 125, 93
107, 92, 111, 119, 99, 100, 89, 94, 125, 93
a)
20
b)
18
c)
25
d)
36
29.
What is the RANGE of this data?
a)
20
b)
90
c)
70
d)
80
30.
What is the minimum value?
a)
64
b)
58
c)
66
d)
61
31.
To find the average of a set of numbers, add up all the items and divide by...
a)
2
b)
The minimum
c)
The maximum
d)
The number of items
32.
What is the median?
a)
biggest- smallest
b)
average
c)
the middle #
d)
# that happens the most
33.
How do you find the interquartile range?
a)
Add Q3 and the max
b)
Subtract Q1 from Q3 to find the interquartile range.
c)
Add the max and the min
d)
Subtract the median from Q3 to find the interquartile range
34.
Is a histogram the same as a bar graph?
a)
Yes, because they both use intervals.
b)
No, because a histogram displays numerical data while a bar graph displays categorical data.
c)
Yes, because they both use bars to display data.
d)
No, because a histogram displays categorical data while a bar graph displays numerical data.
35.
A florist recorded the number and cost of flower bouquets that were sold daily and recorded the data below. What is the frequency of a bouquet that cost at least $40?
a)
2
b)
15
c)
22
d)
37
36.
26. How many more students had an ACT composite score between 15 and 20 than had a composite score between 30 and 35?
a)
2
b)
5
c)
7
d)
12
37.
A person travels by car. They record their miles driven in a data table. Identify the x-variable (input) of the data.
a)
Time (hours)
b)
Distance (miles)
38.
A person travels by car. They record their miles driven in a data table. Identify the y-variable (output) of the data.
a)
Time (hours)
b)
Distance (miles)
39.
The linear regression equation is y = 61.93x - 1.79. Identify the y-intercept of the equation.
a)
Y-Int = 61.93
b)
Y-Int = -1.79
c)
Y-Int = (0, -1.79)
d)
Y-Int = (0, 61.93)
40.
The linear regression equation is y = 61.93x - 1.79. According to the equation, the y-intercept can be interpreted as:
a)
After 0 hours of driving, they went -1.79 miles.
b)
They are driving -1.79 miles per hour.
c)
They drove 1.79 miles total.
d)
They drive 1.79 hours total.
41.
The linear regression equation is y = 61.93x - 1.79. Identify the slope of the equation.
a)
Slope = 61.93
b)
Slope = -1.79
c)
Slope = (0, -1.79)
d)
Slope = (0, 61.93)
42.
The linear regression equation is y = 61.93x - 1.79. According to the model, the slope can be interpreted as:
a)
After 0 hours of driving, they went 61.93 miles.
b)
They drove at a speed of 61.93 miles per hour.
c)
They drove 61.93 miles total.
d)
They drove 61.93 hours total.
43.
A person travels by car. They record their miles driven in a data table. Calculate the linear regression equation of this data.
a)
y = 61.93x - 1.79
b)
y = -1.79x + 61.93
c)
y = 0.016x + 0.03
d)
y = 0.03x + 0.016
44.
The linear regression equation is y = 61.93x - 1.79. Use the equation to predict how far this person will travel after 10 hours of driving.
a)
10 miles
b)
617.5 miles
c)
0.19 miles
d)
500 miles
45.
The linear regression equation is y = 61.93x - 1.79. Use the equation to predict how far this person will travel after 10 hours of driving.
a)
10 miles
b)
617.5 miles
c)
0.19 miles
d)
500 miles
46.
A restaurant sells pizza for the prices in the data table. Calculate the linear regression equation of the data.
a)
y = 1.5x + 12
b)
y = 12x + 1.5
c)
y = 0.67x - 8
d)
y = -8x + 0.67
47.
The linear regression equation for the data is y = 1.5x + 12. Interpret the slope of the equation.
a)
The slope is (0, 1.5). It means that a pizza with 0 toppings will cost 1.5 dollars.
b)
The slope is 1.5. It means that it costs 1.5 dollars per topping.
c)
There are 1.5 toppings.
d)
There are 1.5 pizzas.
48.
The linear regression equation for the data is y = 1.5x + 12. Use the equation to predict the cost of a pizza that has 8 toppings.
a)
$8
b)
$12
c)
$24
d)
$28
49.
Describe the correlation in the graph shown.
a)
Strong Negative
b)
Strong Positive
c)
Weak Negative
d)
Weak Positive
50.
What type of association does this graph have?
a)
positive
b)
negative
c)
none
d)
all of the above
51.
r=0.3
a)
Strong positive
b)
Weak positive
c)
Strong negative
d)
Weak negative
52.
r=-0.89
a)
Strong positive
b)
Weak positive
c)
Strong negative
d)
Weak negative
53.
Estimate the correlation coefficient for this scatterplot.
a)
r = 1.2
b)
r = 0.89
c)
r = 0
d)
r = -0.89
54.
What type of association does this scatter plot represent?
a)
positive linear association
b)
negative linear association
c)
no association
d)
nonlinear association
55.
Determine the correlation coefficient of the given data:
a)
.9820
b)
-.9643
c)
-1.409
d)
.164
56.
Based on the graph, if Joe earned $400, how many hours did he work?
a)
15 hours
b)
20 hours
c)
25 hours
d)
30 hours
57.
What can we determine from the correlation coefficient?
a)
Style + Type
b)
Percentage + Direction
c)
Strength + Direction
d)
Strength + Style
58.
Determine the Correlation Coefficient and decide whether it is weak, moderate, or strong.
a)
0.07 weak
b)
-0.26 weak
c)
-0.26 moderate
d)
0.07 strong
59.
Determine the Correlation Coefficient and decide whether it is weak, moderate, or strong.
a)
0.80 weak
b)
0.90 moderate
c)
0.80 strong
d)
0.90 strong
60.
The correlation coefficient is a number "r" such that:
a)
-1<r<1
b)
-1>r>1
c)
-1≤r≤1
d)
-1≥r≤1
61.
If the correlation coefficient of a table of data is 0.85, what is true about the line of best fit?
a)
There is a weak, positive relationship
b)
There is a strong, positive relationship
c)
There is a weak, negative relationship
d)
There is a strong, negative relationship
62.
You are analyzing a scatter plot that has a negative correlation. What is true of the of the x and y values?
a)
As x increases, y decreases
b)
As x increases, y increases
c)
As x decreases, y decreases
63.
You are analyzing a scatter plot that has a negative correlation. What is true of the of the x and y values?
a)
As x increases, y decreases
b)
As x increases, y increases
c)
As x decreases, y decreases
64.
What would the correlation be between math grades and the time it takes to run a mile ?
a)
Postive Correlation
b)
Negative Correlation
c)
No Correlation
d)
Cannot Be Determined
65.
You compute the correlation coefficient between hours of TV watched and grade point average for a sample of college undergraduates and obtain r = -1.83. This means that
a)
you made an arithmetic mistake.
b)
students who watch more TV tend to get lower grades.
c)
students who watch more TV tend to get higher grades.
d)
you can conclude that radiation from TV screens causes gradual brain damage.
66.
In a scatterplot of the average grade point of a high school student and the average hours that he/she spend on his/her homework, you expect to see:
a)
very little association
b)
a strong association
c)
a weak positive association
d)
a strong positive association
67.
a)
y = 0.5x + 1
b)
y = 0.03x + 0.95
c)
y = 0.3x + 0.96
d)
y = 0.96x + 0.03
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