In: Statistics and Probability
The average height of a woman is 5'4. I asked 20 women 18 and older what their height was. One woman is 4'9, one is 5'1, one is 5'2, two are 5'3, four are 5'4, four are 5'5, four are 5'6, one is 5'8 and two are 5'9 For this sample, complete the following:
a. Calculate the mean, standard deviation, and variance.
b. Calculate the 95% Confidence Interval for the population mean.
c. Use your sample to test the hypothesis for the mean. Calculate the p-value for the test. Use α = 0.05 to find your conclusion.
d. Use your sample to test the hypothesis for the variance you proposed. Calculate the p-value for the test. Use α = 0.05 to find your conclusion.
a)
X | (X - X̄)² | |
total sum | 109.4 | 1.16 |
n | 20 | 20 |
mean = ΣX/n =
109.400 / 20 =
5.4700
sample variance = Σ(X - X̄)²/(n-1)=
1.1620 / 19 =
0.061
sample std dev = √ [ Σ(X - X̄)²/(n-1)] =
√ (1.162/19) =
0.2473
................
b)
Level of Significance , α =
0.05
degree of freedom= DF=n-1= 19
't value=' tα/2= 2.0930 [Excel
formula =t.inv(α/2,df) ]
Standard Error , SE = s/√n = 0.2473 /
√ 20 = 0.055298
margin of error , E=t*SE = 2.0930
* 0.05530 = 0.115741
confidence interval is
Interval Lower Limit = x̅ - E = 5.47
- 0.115741 = 5.354259
Interval Upper Limit = x̅ + E = 5.47
- 0.115741 = 5.585741
95% confidence interval is (
5.35 < µ < 5.59
)
...............
c)
Ho : µ = 5.4
Ha : µ ╪ 5.4
(Two tail test)
Level of Significance , α =
0.05
sample std dev , s = √(Σ(X- x̅ )²/(n-1) )
= 0.2473
Sample Size , n = 20
Sample Mean, x̅ = ΣX/n =
5.4700
degree of freedom= DF=n-1= 19
Standard Error , SE = s/√n = 0.2473 / √
20 = 0.0553
t-test statistic= (x̅ - µ )/SE = (
5.470 - 5.4 ) /
0.0553 = 1.27
p-Value = 0.2209 [Excel
formula =t.dist(t-stat,df) ]
Decision: p-value>α, Do not reject null hypothesis
...............
THANKS
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