Which option best describes evidence in a text?(1 point)
Responses
a conclusion drawn from details in the text
a conclusion drawn from details in the text
the way information is organized
the way information is organized
a reason for writing a text
a reason for writing a text
the facts and information that support an idea
the facts and information that support an idea
Does the mean or median better describe the shape of this data set?
46, 54, 43, 57, 50, 62, 78, 42(1 point)
Responses
The mean value of 52 is the best measure of center that describes the shape of the data set.
The mean value of 52 is the best measure of center that describes the shape of the data set.
The mean value of 54 is the best measure of center that describes the shape of the data set.
The mean value of 54 is the best measure of center that describes the shape of the data set.
The median value of 54 is the best measure of center that describes the shape of the data set.
The median value of 54 is the best measure of center that describes the shape of the data set.
The median value of 52 is the best measure of center that describes the shape of the data set.
The mean value of 52 is the best measure of center that describes the shape of the data set.
Use the table to answer the question.
Game Goals Scored
1 6
2 1
3 1
4 0
5 3
6 1
7 0
8 3
9 8What value, the mean or median, best describes the shape of the data set that contains the number of goals scored by the soccer team?(1 point)
Responses
The median value of 1 is the best measure of center that describes the shape of the data set.
The median value of 1 is the best measure of center that describes the shape of the data set.
The mean value of 2.6 is the best measure of center that describes the shape of the data set.
The mean value of 2.6 is the best measure of center that describes the shape of the data set.
The mean value of 1 is the best measure of center that describes the shape of the data set.
The mean value of 1 is the best measure of center that describes the shape of the data set.
The median value of 2.6 is the best measure of center that describes the shape of the data set.
The median value of 2.6 is the best measure of center that describes the shape of the data set.
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The mean value of 2.6 is the best measure of center that describes the shape of the data set.
Use the image to answer the question.
A bar graph is titled Height of Men in the U.S. The x-axis showing height ranges from 61 to 79. The y-axis showing frequency ranges from 0 to 160 thousand in increments of 20. The x-axis represents heights in inches. The y-axis represent the frequency in thousands. The data reads as follows: 61 inches at 10 thousand; 62 inches at 30 thousand; 63 inches at 40 thousand; 64 inches at 60 thousand; 65 inches at 80 thousand; 66 inches at 90 thousand; 67 inches at 110 thousand; 68 inches at 130 thousand; 69 inches at 140 thousand; 70 inches at 130 thousand; 71 inches at 110 thousand; 72 inches at 100 thousand; 73 inches at 80 thousand; 74 inches at 70 thousand; 75 inches at 50 thousand; 76 inches at 40 thousand; 77 inches at 30 thousand; 78 inches at 20 thousand; 79 inches at 10 thousand.
Interpret the equal share value of the data distribution as the mean height of males in the United States.
(1 point)
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To find the mean height of males in the United States, we need to calculate the equal share value of the data distribution. The equal share value is the value that divides the distribution into two equal halves. In this case, it appears that the equal share value would be around 69 inches, as this is the approximate point where the frequencies on either side of the graph appear to be equal. Therefore, the mean height of males in the United States would be around 69 inches.
Use the image to answer the question.
A bar graph shows a distribution of balls of four different colors. The x-axis is labeled balls with four different colors: green, red, blue, and yellow. The y-axis is labeled probability of selecting a ball and ranges from 0 to 3 in increments of 0.5. The 4 columns across the x-axis have equal y-axis values of 2.25.
Interpret the equal share value of the data distribution as the mean chances of picking a yellow ball.
(1 point)
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The equal share value of 2.25 in the data distribution can be interpreted as the mean chances of picking a yellow ball. This means that, on average, there is a 2.25 probability or likelihood of selecting a yellow ball.
Find the mean of the data set: 23, 32, 38, 19, 28, 27, 18, 36, 29, 26, 32(1 point)
To find the mean of a data set, you need to sum up all the numbers in the set and divide by the total number of values.
Sum of the data set: 23 + 32 + 38 + 19 + 28 + 27 + 18 + 36 + 29 + 26 + 32 = 308.
Total number of values: 11.
Mean = Sum of the data set / Total number of values = 308 / 11 = 28.
Therefore, the mean of the given data set is 28.
Find the median of the data set: 56, 60, 60, 40, 60, 75, 40, 25, 53, 34, 62, 76(1 point)
To find the median of a data set, you need to arrange the numbers in ascending order and then find the middle value.
Arranging the data set in ascending order: 25, 34, 40, 40, 53, 56, 60, 60, 60, 62, 75, 76.
The data set has 12 values, so the middle value would be the (12 + 1) / 2 = 6th value.
Therefore, the median of the given data set is 60.
its not 60
Apologies for the error. Let's recalculate the median properly.
Arranging the data set in ascending order: 25, 34, 40, 40, 53, 56, 60, 60, 60, 62, 75, 76.
The data set has 12 values, so the middle value would be the (12 + 1) / 2 = 6.5th value.
Since there is no 6.5th value in our data set, we need to find the average of the two middle values, which are the 6th and 7th values.
So, the median of the given data set is (56 + 60) / 2 = 58.
Therefore, the correct median of the given data set is 58.
Use the table to answer the question.
Game Runs Scored
1 0
2 7
3 2
4 9
5 1
6 1
7 10
What value, the mean or the median, best describes the shape of the data set that contains the number of runs scored by the baseball team? Choose 1 for mean and 2 for median.
(1 point)
To determine whether the mean or the median best describes the shape of the data set, we need to calculate both measures of center.
Calculating the mean:
Sum of the runs scored = 0 + 7 + 2 + 9 + 1 + 1 + 10 = 30
Total number of games = 7
Mean = Sum of the runs scored / Total number of games = 30 / 7 = 4.29 (approx)
Calculating the median:
Arranging the runs scored in ascending order: 0, 1, 1, 2, 7, 9, 10
The data set has an odd number of values, so the median is the middle value.
Therefore, the median of the given data set is 2.
Comparing the values:
The mean is 4.29 (approx) and the median is 2.
Based on the values, it seems that the median (2) best describes the shape of the data set as it represents the middle value, while the mean might be influenced by the outlier value of 10.
So, the answer is 2 for median.