Answer:
(a) To find the mean value, we sum up all the values and divide by the number of values:
Mean = (17 + 22 + 25 + 27 + 32 + 40 + 45 + 51 + 59 + 62) / 10 = 36.0
So, the mean value is 36.0.
To find the median value, we first need to put the data set in order from smallest to largest:
17, 22, 25, 27, 32, 40, 45, 51, 59, 62
The median is the middle value of the data set, which is 36 in this case.
So, the median value is 36.0.
(b) To find the mean absolute deviation (MAD), we first need to find the deviation of each value from the mean:
|17 - 36.0| = 19.0
|22 - 36.0| = 14.0
|25 - 36.0| = 11.0
|27 - 36.0| = 9.0
|32 - 36.0| = 4.0
|40 - 36.0| = 4.0
|45 - 36.0| = 9.0
|51 - 36.0| = 15.0
|59 - 36.0| = 23.0
|62 - 36.0| = 26.0
Next, we find the mean of these deviations:
MAD = (19.0 + 14.0 + 11.0 + 9.0 + 4.0 + 4.0 + 9.0 + 15.0 + 23.0 + 26.0) / 10
MAD = 13.0
So, the mean absolute deviation for this data set is 13.0.
(c) To find the percentage of the data set that lies closer than the MAD to the mean, we count how many values are within one MAD of the mean. We have:
17, 22, 25, 27, 32, 40, 45, 51, 59, 62
The values within one MAD of the mean (36.0 +/- 13.0) are:
17, 22, 25, 27, 32, 40, 45, 51
So, 8 out of 10 values are within one MAD of the mean.
The percentage of the data set that lies closer than the MAD to the mean is:
8 / 10 * 100% = 80%
(a) To find the mean value, we sum up all the values and divide by the number of values:
Mean = (7 + 7 + 7 + 8 + 8 + 9 + 10 + 32) / 8 = 9.5
So, the mean value is 9.5.
To find the mean absolute deviation (MAD), we first need to find the deviation of each value from the mean:
|7 - 9.5| = 2.5
|7 - 9.5| = 2.5
|7 - 9.5| = 2.5
|8 - 9.5| = 1.5
|8 - 9.5| = 1.5
|9 - 9.5| = 0.5
|10 - 9.5| = 0.5
|32 - 9.5| = 22.