Answer:
Both the mean and standard deviation reduce.
The mean changes from 25 to 10.833
The standard deviation changes from 36.88 to 3.764
Step-by-step explanation:
i) the data is 5, 10, 10, 10, 15, 100
ii) the total number of data, n = 6
iii) sum of the data = 5 + 10 + 10 + 10 + 15 + 100 = 150
iv) mean of data, m = 150 / 6 = 25
v) [tex]standard\hspace{0.15cm}deviation\hspace{0.15cm} of \hspace{0.15cm}data, s = \sqrt{\frac{\sum_{i = 1}^{6} (x_{i} - m)^2}{ (n - 1)}} = \sqrt{\frac{6800}{5} } = 36.88[/tex]
If the last number is changed from 100 to 15 we get :
i) the data is 5, 10, 10, 10, 15, 15
ii) the total number of data, n = 6
iii) sum of the data = 5 + 10 + 10 + 10 + 15 + 15 = 65
iv) mean of data, m = 65 / 6 = 10.83
v) [tex]standard\hspace{0.15cm}deviation\hspace{0.15cm} of \hspace{0.15cm}data, s = \sqrt{\frac{\sum_{i = 1}^{6} (x_{i}-m)^2}{ (n - 1)}} = \sqrt{\frac{70.833}{5} } = 3.764[/tex]