Answer:
[tex] \bar X = \frac{3.1+3.5+3.3+3.7+4.5+4.2+2.8+3.9+3.5+3.3}{10}= 3.58[/tex]
And the sample deviation with the following formula:
[tex] s= \sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}[/tex]
And replacing we got:
[tex] s = 0.512[/tex]
And then the answer is :
[tex] \bar X= 3.58, \sigma = 0.512[/tex]
Step-by-step explanation:
For this case we have the following data given:
3.1 3.5 3.3 3.7 4.5 4.2 2.8 3.9 3.5 3.3
The sample mean can be calculated with this formula:
[tex]\bar X = \frac{\sum_{i=1}^n X_i}{n}[/tex]
And replacing we got:
[tex] \bar X = \frac{3.1+3.5+3.3+3.7+4.5+4.2+2.8+3.9+3.5+3.3}{10}= 3.58[/tex]
And the sample deviation with the following formula:
[tex] s= \sqrt{\frac{\sum_{i=1}^n (X_i -\bar X)^2}{n-1}}[/tex]
And replacing we got:
[tex] s = 0.512[/tex]
And then the answer is :
[tex] \bar X= 3.58, \sigma = 0.512[/tex]