In: Statistics and Probability
The null and alternate hypotheses are:
H0 : μ1 =
μ2
H1 : μ1 ≠
μ2
A random sample of 11 observations from one population revealed a sample mean of 23 and a sample standard deviation of 4.6. A random sample of 8 observations from another population revealed a sample mean of 28 and a sample standard deviation of 3.6.
At the 0.05 significance level, is there a difference between the population means?
State the decision rule. (Negative values should be indicated by a minus sign. Round your answers to 3 decimal places.)
Compute the pooled estimate of the population variance. (Round your answer to 3 decimal places.)
Compute the test statistic. (Negative value should be indicated by a minus sign. Round your answer to 3 decimal places.)
State your decision about the null hypothesis.
Reject H0.
Do not reject H0.
The p-value is
between 0.05 and 0.02
less than 0.001
between 0.05 and 0.1
between 0.001 and 0.01
between 0.1 and 0.2
n 1 = 11
n 2=8
s1 = 4.6
s2 = 3.6
a) decision rule : >2.11,we reject null hypothesis
b) pooled estimate =
c)
Null and alternative hypothesis is
Vs
Level of significance = 0.05
Before doing this test we have to check population variances are equal or not.
Null and alternative hypothesis is
Vs
Test statistic is
F = Larger variance / Smaller variance = 21.16 / 12.96 = 1.6327
Degrees of freedoms
Degrees of freedom for numerator = n1 - 1 = 11 - 1 = 10
Degrees of freedom for denominator = n2 - 1 = 8 - 1 = 7
Critical value = 3.637 ( using f-table )
F test statistic < critical value we fail to reject null hypothesis.
Conclusion: Population variances are equal.
So we have to use pooled variance.
Test statistic
Formula
d.f = n1 + n2 – 2 = 11+8-2=17
critical value =2.11
d)
critical value < ,Reject Ho
Reject H0.
e)
p-value = 0.0206 ( using t table )
The p-value is between 0.05 and 0.02
p-value , Reject H0
conclusion : There is a difference between the population means