The stem-and-leaf plot shows the speeds of the fastest steel roller coasters in Europe. The table shows the speeds of the fastest steel roller coasters in North America.
Speeds of the Fastest Steel Roller Coasters in Europe (in miles per hour)
Stem Leaf
7 4 5 5 5
8 0 0 3 4 8
9 9
11 1Key: 7|4=74 miles per hour
Speeds of the Fastest Steel Roller Coasters in North America (in miles per hour)
Canada 90 128 91
U.S. 93 120 100
Mexico 95 92 85
Find the range of the speeds of the fastest steel roller coasters on both continents.
(1 point)
The range of the speeds of the fastest steel roller coasters in Europe is
mph. The range of the speeds of the fastest steel roller coasters in North America is
mph.
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9 answers
The range of the speeds of the fastest steel roller coasters in Europe is 41 mph (119 - 78 mph). The range of the speeds of the fastest steel roller coasters in North America is 35 mph (128 - 85 mph).
Statistics Unit Test
9 of 159 of 15 Items
Question
Anthony wants to know the average daily high temperatures in his town during the summer. He chose two random samples of 10 consecutive days and recorded the daily high temperatures. The daily high temperatures in Fahrenheit are as follows.
Sample 1: 78 82 85 87 90 85 79 86 91 88
Sample 2: 81 79 80 86 89 92 82 88 84 87
Find the mean daily high temperatures of each sample and calculate the difference between these mean daily high temperatures.
(2 points)
The mean daily high temperature of Sample 1 is
°.
The mean daily high temperature of Sample 2 is
°.
The mean daily high temperatures of the two samples differ by
9 of 159 of 15 Items
Question
Anthony wants to know the average daily high temperatures in his town during the summer. He chose two random samples of 10 consecutive days and recorded the daily high temperatures. The daily high temperatures in Fahrenheit are as follows.
Sample 1: 78 82 85 87 90 85 79 86 91 88
Sample 2: 81 79 80 86 89 92 82 88 84 87
Find the mean daily high temperatures of each sample and calculate the difference between these mean daily high temperatures.
(2 points)
The mean daily high temperature of Sample 1 is
°.
The mean daily high temperature of Sample 2 is
°.
The mean daily high temperatures of the two samples differ by
To find the mean daily high temperature of each sample, we first need to add up all the temperatures in each sample and then divide by the number of temperatures.
For Sample 1:
Mean = (78 + 82 + 85 + 87 + 90 + 85 + 79 + 86 + 91 + 88) / 10
Mean = 861 / 10
Mean = 86.1 degrees Fahrenheit
For Sample 2:
Mean = (81 + 79 + 80 + 86 + 89 + 92 + 82 + 88 + 84 + 87) / 10
Mean = 848 / 10
Mean = 84.8 degrees Fahrenheit
The mean daily high temperature of Sample 1 is 86.1 degrees Fahrenheit and the mean daily high temperature of Sample 2 is 84.8 degrees Fahrenheit.
To calculate the difference between the mean daily high temperatures of the two samples:
Difference = 86.1 - 84.8
Difference = 1.3
Therefore, the mean daily high temperatures of the two samples differ by 1.3 degrees Fahrenheit.
For Sample 1:
Mean = (78 + 82 + 85 + 87 + 90 + 85 + 79 + 86 + 91 + 88) / 10
Mean = 861 / 10
Mean = 86.1 degrees Fahrenheit
For Sample 2:
Mean = (81 + 79 + 80 + 86 + 89 + 92 + 82 + 88 + 84 + 87) / 10
Mean = 848 / 10
Mean = 84.8 degrees Fahrenheit
The mean daily high temperature of Sample 1 is 86.1 degrees Fahrenheit and the mean daily high temperature of Sample 2 is 84.8 degrees Fahrenheit.
To calculate the difference between the mean daily high temperatures of the two samples:
Difference = 86.1 - 84.8
Difference = 1.3
Therefore, the mean daily high temperatures of the two samples differ by 1.3 degrees Fahrenheit.
The data from two random samples of 100 students regarding what pet they own is given below.
Dog Cat Bird Total
Sample 1 54 38 8 100
Sample 2 39 49 12 100
Based on the two samples, what percentage of students own a bird as a pet?
Dog Cat Bird Total
Sample 1 54 38 8 100
Sample 2 39 49 12 100
Based on the two samples, what percentage of students own a bird as a pet?
To find the percentage of students who own a bird as a pet, we first need to calculate the total number of students who own a bird in both samples.
For Sample 1:
Number of students who own a bird = 8
For Sample 2:
Number of students who own a bird = 12
Total number of students who own a bird in both samples = 8 + 12 = 20
Now, we need to calculate the total number of students in both samples:
Total number of students in both samples = 100 + 100 = 200
Finally, we can calculate the percentage of students who own a bird as a pet:
Percentage = (Number of students who own a bird / Total number of students) x 100
Percentage = (20 / 200) x 100
Percentage = 0.1 x 100
Percentage = 10%
Therefore, based on the two samples, 10% of students own a bird as a pet.
For Sample 1:
Number of students who own a bird = 8
For Sample 2:
Number of students who own a bird = 12
Total number of students who own a bird in both samples = 8 + 12 = 20
Now, we need to calculate the total number of students in both samples:
Total number of students in both samples = 100 + 100 = 200
Finally, we can calculate the percentage of students who own a bird as a pet:
Percentage = (Number of students who own a bird / Total number of students) x 100
Percentage = (20 / 200) x 100
Percentage = 0.1 x 100
Percentage = 10%
Therefore, based on the two samples, 10% of students own a bird as a pet.
These are the scores for two randomly selected lacrosse teams. Find the range of the number of goals scored by each team. Based on the range, which team has a more consistent number of goals scored?
Lacrosse Team 1: 6 0 4 17 3 12
Lacrosse Team 2: 23 14 22 14 17 22(2 points)
The range of the number of goals scored by Lacrosse Team 1 is
. The range of the number of goals scored by Lacrosse Team 2 is
. Based on the range, Lacrosse Team
has a more consistent number of goals scored.
Lacrosse Team 1: 6 0 4 17 3 12
Lacrosse Team 2: 23 14 22 14 17 22(2 points)
The range of the number of goals scored by Lacrosse Team 1 is
. The range of the number of goals scored by Lacrosse Team 2 is
. Based on the range, Lacrosse Team
has a more consistent number of goals scored.
To find the range of the number of goals scored by each team, we need to subtract the minimum value from the maximum value.
For Lacrosse Team 1:
Range = Maximum value - Minimum value
Range = 17 - 0
Range = 17
For Lacrosse Team 2:
Range = Maximum value - Minimum value
Range = 23 - 14
Range = 9
Therefore, the range of the number of goals scored by Lacrosse Team 1 is 17 and the range of the number of goals scored by Lacrosse Team 2 is 9.
Since Lacrosse Team 2 has a smaller range, it means that the number of goals scored by Lacrosse Team 2 is more consistent compared to Lacrosse Team 1.
For Lacrosse Team 1:
Range = Maximum value - Minimum value
Range = 17 - 0
Range = 17
For Lacrosse Team 2:
Range = Maximum value - Minimum value
Range = 23 - 14
Range = 9
Therefore, the range of the number of goals scored by Lacrosse Team 1 is 17 and the range of the number of goals scored by Lacrosse Team 2 is 9.
Since Lacrosse Team 2 has a smaller range, it means that the number of goals scored by Lacrosse Team 2 is more consistent compared to Lacrosse Team 1.
The dot plots show the gas mileage for randomly selected cars and SUVs. Which data values do both distributions have in common?
(1 point)
The data value in common for both distributions with the lowest number is
.
The data value in common for both distributions for the highest number is
.
(1 point)
The data value in common for both distributions with the lowest number is
.
The data value in common for both distributions for the highest number is
.
Without the actual dot plots, I cannot determine the specific data values for the lowest and highest numbers shared by both distributions. However, generally speaking:
The data value in common for both distributions with the lowest number would be the lowest data point that appears in both dot plots.
The data value in common for both distributions with the highest number would be the highest data point that appears in both dot plots.
If you provide the actual data values for the lowest and highest number in each dot plot, I can assist you in finding the values that both distributions have in common.
The data value in common for both distributions with the lowest number would be the lowest data point that appears in both dot plots.
The data value in common for both distributions with the highest number would be the highest data point that appears in both dot plots.
If you provide the actual data values for the lowest and highest number in each dot plot, I can assist you in finding the values that both distributions have in common.