The mean number of hours spent on screens is simply the sum of all the hours divided by the number of kids surveyed:
(0 + 7 + 8 + 8 + 10 + 11 + 14 + 15 + 17 + 17.5 + 18 + 18 + 18 + 20 + 30) / 15 = 217.5 / 15 ≈ 14.5
Therefore, the mean number of hours spent on screens by the kids that the director surveyed is 14.5 hours.
The director of a local summer camp is interested in the number of hours kids spend on screens each week. He surveys a group of 15 kids at his camp and asks them how many hours they spent on screens last week. A list of his results follows. What is the mean number of hours spent on screens for the kids he surveyed? Round your answer to the nearest tenth. {0,7,8,8,10,11,14,15,17,17.5,18,18,18,20,30}(1 point) The mean number of hours spent on screens by the kids that the director surveyed is hours.
11 answers
The director of a local summer camp is interested in the number of hours kids spend on screens each week. He surveys a group of 15 kids at his camp and asks them how many hours they spent on screens last week. A list of his results follows. What is the mean number of hours spent on screens for the kids he surveyed? Round your answer to the nearest tenth. {0,7,8,8,10,11,14,15,17,17.5,18,18,18,20,30}(1 point) The mean number of hours spent on screens by the kids that the director surveyed is hours.
To find the mean number of hours spent on screens for the kids surveyed, we need to add up all the hours spent on screens and then divide by the total number of kids surveyed (15).
Sum of all the hours spent on screens:
0 + 7 + 8 + 8 + 10 + 11 + 14 + 15 + 17 + 17.5 + 18 + 18 + 18 + 20 + 30 = 194.5
Mean number of hours spent on screens:
194.5 / 15 ≈ 12.97
Rounded to the nearest tenth, the mean number of hours spent on screens for the kids surveyed is approximately 13.0 hours.
Sum of all the hours spent on screens:
0 + 7 + 8 + 8 + 10 + 11 + 14 + 15 + 17 + 17.5 + 18 + 18 + 18 + 20 + 30 = 194.5
Mean number of hours spent on screens:
194.5 / 15 ≈ 12.97
Rounded to the nearest tenth, the mean number of hours spent on screens for the kids surveyed is approximately 13.0 hours.
Statistics Unit Test 8 of 158 of 15 Items Question The director of a local summer camp is interested in the number of hours kids spend on screens each week. He surveys a group of 15 kids at his camp and asks them how many hours they spent on screens last week. His results follow. What is the mode for number of hours spent on screens for the kids he surveyed? {7,8,0,15,14,11,17.5,17,18,20,18,30,18,8,10} (1 point) The mode for number of hours spent on screens by the kids that the director surveyed is hours.
The mode is the number that appears most frequently in a set of data. In the provided list of hours spent on screens, the numbers appearing most frequently are 8 and 18, each appearing three times.
Therefore, the mode for the number of hours spent on screens by the kids that the director surveyed is 8 and 18, both hours.
Therefore, the mode for the number of hours spent on screens by the kids that the director surveyed is 8 and 18, both hours.
The director of a local summer camp is interested in the number of hours kids spend on screens each week. He surveys a group of 15 kids at his camp and asks them how many hours they spent on screens last week. His results follow. What is the range of his data? {18,8,8,7,10,14,15,11,17,17.5,18,0,18,30,20}(1 point) The range of the number of hours spent on screens by the kids that the director surveyed is hours.
To find the range of the number of hours spent on screens by the kids surveyed, we need to subtract the smallest value from the largest value in the set of data.
Given data: {18, 8, 8, 7, 10, 14, 15, 11, 17, 17.5, 18, 0, 18, 30, 20}
The smallest value is 0 and the largest value is 30.
Range = Largest value - Smallest value
Range = 30 - 0
Range = 30
Therefore, the range of the number of hours spent on screens by the kids that the director surveyed is 30 hours.
Given data: {18, 8, 8, 7, 10, 14, 15, 11, 17, 17.5, 18, 0, 18, 30, 20}
The smallest value is 0 and the largest value is 30.
Range = Largest value - Smallest value
Range = 30 - 0
Range = 30
Therefore, the range of the number of hours spent on screens by the kids that the director surveyed is 30 hours.
The director of a local summer camp is interested in the number of hours kids spend on screens each week. He surveys a group of 15 kids at his camp and asks them how many hours they spent on screens last week. A list of his results follows. {0,7,8,8,10,11,14,15,17,17.5,18,18,20,30} The director realizes he forgot to include the data value “5” in his dataset. Calculate the median of the original dataset and the median of the new dataset after “5” is added.(1 point) The median of the original dataset is hours. The median of the new dataset after “5" is added is hours.
To find the median, we first need to arrange the data in ascending order:
Original dataset: {0,7,8,8,10,11,14,15,17,17.5,18,18,20,30}
Arranged in ascending order: {0, 7, 8, 8, 10, 11, 14, 15, 17, 17.5, 18, 18, 20, 30}
Since there are 14 data points, the median is the average of the 7th and 8th data points:
Median = (11 + 14) / 2 = 12.5
Therefore, the median of the original dataset is 12.5 hours.
Now let's calculate the median of the new dataset with added "5":
New dataset: {0, 5, 7, 8, 8, 10, 11, 14, 15, 17, 17.5, 18, 18, 20, 30}
Now, we have 15 data points. The median is the middle value in the ordered set, which is the 8th value:
Median = 11
Therefore, the median of the original dataset is 12.5 hours and the median of the new dataset after "5" is added is 11 hours.
Original dataset: {0,7,8,8,10,11,14,15,17,17.5,18,18,20,30}
Arranged in ascending order: {0, 7, 8, 8, 10, 11, 14, 15, 17, 17.5, 18, 18, 20, 30}
Since there are 14 data points, the median is the average of the 7th and 8th data points:
Median = (11 + 14) / 2 = 12.5
Therefore, the median of the original dataset is 12.5 hours.
Now let's calculate the median of the new dataset with added "5":
New dataset: {0, 5, 7, 8, 8, 10, 11, 14, 15, 17, 17.5, 18, 18, 20, 30}
Now, we have 15 data points. The median is the middle value in the ordered set, which is the 8th value:
Median = 11
Therefore, the median of the original dataset is 12.5 hours and the median of the new dataset after "5" is added is 11 hours.
The director of a local summer camp is interested in the number of hours kids spend on screens each week. He surveys a group of 15 kids at his camp and asks them how many hours they spent on screens last week. A list of his results follows. {0,7,8,8,10,11,14,15,17,17.5,18,18,18,20,30} The director realizes he forgot to include the data value “15” in his dataset. Calculate the interquartile range of the original dataset and the interquartile range of the new dataset after “15” is added. (1 point) The interquartile range of the original dataset is hours. The interquartile range of the new dataset after “15" is added is hours
To find the interquartile range (IQR), we first need to find the first quartile (Q1) and the third quartile (Q3).
Original dataset: {0, 7, 8, 8, 10, 11, 14, 15, 17, 17.5, 18, 18, 18, 20, 30}
Arranged in ascending order: {0, 7, 8, 8, 10, 11, 14, 15, 17, 17.5, 18, 18, 18, 20, 30}
Since we have 15 data points, Q1 is the median of the lower half of the data and Q3 is the median of the upper half of the data.
Q1 = 8 (from the 7th value)
Q3 = 18 (from the 13th value)
IQR = Q3 - Q1
IQR = 18 - 8
IQR = 10
Therefore, the interquartile range of the original dataset is 10 hours.
Now let's calculate the IQR for the new dataset after adding 15 to the data:
New dataset: {0, 7, 8, 8, 10, 11, 14, 15, 15, 17, 17.5, 18, 18, 18, 20, 30}
Now, we have 16 data points:
Arranged in ascending order: {0, 7, 8, 8, 10, 11, 14, 15, 15, 17, 17.5, 18, 18, 18, 20, 30}
Q1 = 8 (from the 8th value)
Q3 = 18 (average of 15th and 16th values)
Q3 = (18 + 20) / 2
Q3 = 19
IQR = Q3 - Q1
IQR = 19 - 8
IQR = 11
Therefore, the interquartile range of the new dataset after "15" is added is 11 hours.
Original dataset: {0, 7, 8, 8, 10, 11, 14, 15, 17, 17.5, 18, 18, 18, 20, 30}
Arranged in ascending order: {0, 7, 8, 8, 10, 11, 14, 15, 17, 17.5, 18, 18, 18, 20, 30}
Since we have 15 data points, Q1 is the median of the lower half of the data and Q3 is the median of the upper half of the data.
Q1 = 8 (from the 7th value)
Q3 = 18 (from the 13th value)
IQR = Q3 - Q1
IQR = 18 - 8
IQR = 10
Therefore, the interquartile range of the original dataset is 10 hours.
Now let's calculate the IQR for the new dataset after adding 15 to the data:
New dataset: {0, 7, 8, 8, 10, 11, 14, 15, 15, 17, 17.5, 18, 18, 18, 20, 30}
Now, we have 16 data points:
Arranged in ascending order: {0, 7, 8, 8, 10, 11, 14, 15, 15, 17, 17.5, 18, 18, 18, 20, 30}
Q1 = 8 (from the 8th value)
Q3 = 18 (average of 15th and 16th values)
Q3 = (18 + 20) / 2
Q3 = 19
IQR = Q3 - Q1
IQR = 19 - 8
IQR = 11
Therefore, the interquartile range of the new dataset after "15" is added is 11 hours.