Question

In: Statistics and Probability

For each exercise, answer the following along with any additional questions. Assume group variances are equal...

For each exercise, answer the following along with any additional questions. Assume group variances are equal (unless the problem is ran via statistical software). |  Provide the null and alternative hypotheses in formal and plain language for appropriate two-tailed test (viz., dependent or independent) at the 0.05 significance level  Do the math and reject/accept null at a=.05. State your critical t value.  Explain the results in plain language.  Calculate the 95% confidence interval for the difference in means and state both formally and in plain language if appropriate.

Home Harvest, a local homeless support charity in the northeastern U.S. traditionally mails donation requests to previous donors in the last five years around Thanksgiving. A board member suggests e-mail might be more efficient and cheaper but there is concern an email would be seen as less personal and accrue lower donations. Home Harvest takes a random sample of sixteen regular personal donors (viz., have donated each of the last three years). Six receive an e-mail and eleven a letter for the next Thanksgiving. Donations in dollars are as follows:

E-mail: 40, 0, 60, 40, 70, 0

Letter: 110, 550, 120, 650, 0, 100, 120, 20, 110, 110, 100

Solutions

Expert Solution

a.
Given that,
mean(x)=35
standard deviation , s.d1=29.4958
number(n1)=6
y(mean)=180.9091
standard deviation, s.d2 =212.2477
number(n2)=11
null, Ho: u1 = u2
alternate, H1: u1 != u2
level of significance, α = 0.05
from standard normal table, two tailed t α/2 =2.131
since our test is two-tailed
reject Ho, if to < -2.131 OR if to > 2.131
calculate pooled variance s^2= (n1-1*s1^2 + n2-1*s2^2 )/(n1+n2-2)
s^2 = (5*870.002 + 10*45049.086) / (17- 2 )
s^2 = 30322.725
we use test statistic (t) = (x-y)/sqrt(s^2(1/n1+1/n2))
to=35-180.9091/sqrt((30322.725( 1 /6+ 1/11 ))
to=-145.909/88.376
to=-1.651
| to | =1.651
critical value
the value of |t α| with (n1+n2-2) i.e 15 d.f is 2.131
we got |to| = 1.651 & | t α | = 2.131
make decision
hence value of |to | < | t α | and here we do not reject Ho
p-value: two tailed ( double the one tail ) - ha : ( p != -1.651 ) = 0.1182
hence value of p0.05 < 0.1182,here we do not reject Ho
ANSWERS
---------------
null, Ho: u1 = u2
alternate, H1: u1 != u2
test statistic: -1.651
critical value: -2.131 , 2.131
decision: do not reject Ho
p-value: 0.1182
we do not have enough evidence to support the claim that difference in means and state both formally and in plain language
b.
TRADITIONAL METHOD
given that,
mean(x)=35
standard deviation , s.d1=29.4958
number(n1)=6
y(mean)=180.9091
standard deviation, s.d2 =212.2477
number(n2)=11
I.
calculate pooled variance s^2= (n1-1*s1^2 + n2-1*s2^2 )/(n1+n2-2)
s^2 = (5*870.002 + 10*45049.086) / (17- 2 )
s^2 = 30322.725
II.
standard error = sqrt(S^2(1/n1+1/n2))
=sqrt( 30322.725 * (1/6+1/11) )
=88.376
III.
margin of error = t a/2 * (standard error)
where,
t a/2 = t -table value
level of significance, α = 0.05
from standard normal table, two tailed and value of |t α| with (n1+n2-2) i.e 15 d.f is 2.131
margin of error = 2.131 * 88.376
= 188.33
IV.
CI = (x1-x2) ± margin of error
confidence interval = [ (35-180.9091) ± 188.33 ]
= [-334.239 , 42.421]
-----------------------------------------------------------------------------------------------
DIRECT METHOD
given that,
mean(x)=35
standard deviation , s.d1=29.4958
sample size, n1=6
y(mean)=180.9091
standard deviation, s.d2 =212.2477
sample size,n2 =11
CI = x1 - x2 ± t a/2 * sqrt ( s^2 ( 1 / n1 + 1 /n2 ) )
where,
x1,x2 = mean of populations
s^2 = pooled variance
n1,n2 = size of both
a = 1 - (confidence Level/100)
ta/2 = t-table value
CI = confidence interval
CI = [( 35-180.9091) ± t a/2 * sqrt( 30322.725 * (1/6+1/11) ]
= [ (-145.909) ± 188.33 ]
= [-334.239 , 42.421]
-----------------------------------------------------------------------------------------------
interpretations:
1. we are 95% sure that the interval [-334.239 , 42.421]contains the true population proportion
2. If a large number of samples are collected, and a confidence interval is created
for each sample, 95% of these intervals will contains the true population proportion


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