measures of dispersion\nten friends kept track of how many times they sent a text over a one - hour period…

measures of dispersion\nten friends kept track of how many times they sent a text over a one - hour period. the results are in the table below.\nnumber of texts 4 4 4 6 7 8 10 11 18 19\nthey determine that the mean of the data set is 9.1, but they also want to know the range and standard deviation.\ncalculate the range of the data set.\ntexts\ncalculate the sample standard deviation of the data set.\ntexts\nround your result to the two decimal places as needed.\nquestion help: message instructor
Answer
Explanation:
Step1: Recall range formula
The range of a data - set is given by $Range = \text{Max value}-\text{Min value}$.
Step2: Identify max and min values
In the data set ${4,4,4,6,7,8,10,11,18,19}$, the minimum value is $4$ and the maximum value is $19$.
Step3: Calculate the range
$Range=19 - 4=15$.
Step4: Recall sample standard - deviation formula
The sample standard deviation formula is $s=\sqrt{\frac{\sum_{i = 1}^{n}(x_{i}-\bar{x})^{2}}{n - 1}}$, where $n$ is the number of data points, $x_{i}$ are the individual data points, and $\bar{x}$ is the mean. Here, $n = 10$ and $\bar{x}=9.1$.
Step5: Calculate $(x_{i}-\bar{x})^{2}$ for each data point
For $x_1 = 4$: $(4 - 9.1)^{2}=(-5.1)^{2}=26.01$. Since there are 3 values of 4, the total contribution is $3\times26.01 = 78.03$. For $x_4=6$: $(6 - 9.1)^{2}=(-3.1)^{2}=9.61$. For $x_5 = 7$: $(7 - 9.1)^{2}=(-2.1)^{2}=4.41$. For $x_6 = 8$: $(8 - 9.1)^{2}=(-1.1)^{2}=1.21$. For $x_7 = 10$: $(10 - 9.1)^{2}=(0.9)^{2}=0.81$. For $x_8 = 11$: $(11 - 9.1)^{2}=(1.9)^{2}=3.61$. For $x_9 = 18$: $(18 - 9.1)^{2}=(8.9)^{2}=79.21$. For $x_{10}=19$: $(19 - 9.1)^{2}=(9.9)^{2}=98.01$.
Step6: Calculate the sum $\sum_{i = 1}^{n}(x_{i}-\bar{x})^{2}$
$\sum_{i = 1}^{n}(x_{i}-\bar{x})^{2}=78.03+9.61 + 4.41+1.21+0.81+3.61+79.21+98.01=274.9$.
Step7: Calculate the sample standard deviation
$s=\sqrt{\frac{274.9}{10 - 1}}=\sqrt{\frac{274.9}{9}}\approx\sqrt{30.5444}\approx5.53$.
Answer:
Range: 15 Sample standard deviation: 5.53