Suppose you sample six people on their number of visits to Chick-fil-A in a month given by variable Y.
Y |
3 |
6 |
7 |
10 |
13 |
15 |
A) What is the mean of Y? Standard Deviation of Y?
(B) What is the Standard Error of Y?
(C) Construct 90% and 95% Confidence Intervals for Y.
(D) Test the hypothesis that the mean of Y is 5. Show the null hypothesis, your test statistic, and the critical statistic. Interpret your findings.
a)
sample mean, xbar = 9
sample standard deviation, s = 4.5166
b)
stanadard error = (4.5166/sqrt(6))
= 1.8439
c)
sample size, n = 6
degrees of freedom, df = n - 1 = 5
Given CI level is 90%, hence α = 1 - 0.9 = 0.1
α/2 = 0.1/2 = 0.05, tc = t(α/2, df) = 2.015
ME = tc * s/sqrt(n)
ME = 2.015 * 4.5166/sqrt(6)
ME = 3.715
CI = (xbar - tc * s/sqrt(n) , xbar + tc * s/sqrt(n))
CI = (9 - 2.015 * 4.5166/sqrt(6) , 9 + 2.015 *
4.5166/sqrt(6))
CI = (5.28 , 12.72)
sample mean, xbar = 9
sample standard deviation, s = 4.5166
sample size, n = 6
degrees of freedom, df = n - 1 = 5
Given CI level is 95%, hence α = 1 - 0.95 = 0.05
α/2 = 0.05/2 = 0.025, tc = t(α/2, df) = 2.571
ME = tc * s/sqrt(n)
ME = 2.571 * 4.5166/sqrt(6)
ME = 4.741
CI = (xbar - tc * s/sqrt(n) , xbar + tc * s/sqrt(n))
CI = (9 - 2.571 * 4.5166/sqrt(6) , 9 + 2.571 *
4.5166/sqrt(6))
CI = (4.26 , 13.74)
d)
Below are the null and alternative Hypothesis,
Null Hypothesis, H0: μ = 5
Alternative Hypothesis, Ha: μ ≠ 5
Rejection Region
This is two tailed test, for α = 0.1 and df = 5
Critical value of t are -2.015 and 2.015.
Hence reject H0 if t < -2.015 or t > 2.015
Test statistic,
t = (xbar - mu)/(s/sqrt(n))
t = (9 - 5)/(4.5166/sqrt(6))
t = 2.169
P-value Approach
P-value = 0.082
As P-value < 0.1, reject the null hypothesis.
Suppose you sample six people on their number of visits to Chick-fil-A in a month given...
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