Respuesta :
Answer:
Step-by-step explanation:
From the information given:
Mean [tex]\overline x = \dfrac{\sum x_i}{n}[/tex]
Mean [tex]\overline x = \dfrac{69+103+126+122+60+64}{6}[/tex]
Mean [tex]\overline x = \dfrac{544}{6}[/tex]
Mean [tex]\overline x = 90.67[/tex] pounds
Standard deviation [tex]s = \sqrt{\dfrac {\sum (x_i - \overline x) ^2}{n-1}[/tex]
Standard deviation [tex]s = \sqrt{\dfrac {(69 - 90.67)^2+(103 - 90.67)^2+ (126- 90.67) ^2+ ..+ (64 - 90.67)^2}{6-1}}[/tex]
Standard deviation s = 30.011 pounds
B) Find a 75% confidence interval for the population average weight of all adult mountain lions in the specified region.
At 75% confidence interval ; the level of significance ∝ = 1 - 0.75 = 0.25
[tex]t_{(\alpha/2)}[/tex] = 0.25/2
[tex]t_{(\alpha/2)}[/tex] = 0.125
t(0.125,5)=1.30
Degree of freedom = n - 1
Degree of freedom = 6 - 1
Degree of freedom = 5
Confidence interval = [tex](\overline x - t_{(\alpha/2)(n-1)}(\dfrac{s}{\sqrt{n}})< \mu < (\overline x + t_{(\alpha/2)(n-1)}(\dfrac{s}{\sqrt{n}})[/tex]
Confidence interval = [tex](90.67 - 1.30(\dfrac{30.011}{\sqrt{6}})< \mu < (90.67+ 1.30(\dfrac{30.011}{\sqrt{6}})[/tex]
Confidence interval = [tex](90.67 - 1.30(12.252})< \mu < (90.67+ 1.30(12.252})[/tex]
Confidence interval = [tex](90.67 - 15.9276 < \mu < (90.67+ 15.9276)[/tex]
Confidence interval = [tex](74.7424 < \mu <106.5976)[/tex]
i.e the lower limit = 74.74 pounds
the upper limit = 106.60 pounds