Full working out for this question please.
2 answers:
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Answer:
(1) Null Hypothesis, :
Alternate Hypothesis, :
(2) Test statistics = -1.48
(3) At the 0.05 significance level, Fair field conclude that the population means are same.
Step-by-step explanation:
Let = mean annual family income for 12 people making inquiries at the first development
= mean annual family income for 24 people making inquiries at the second development
= standard deviation of annual family income for 12 people making inquiries at the first development
= standard deviation of annual family income for 24 people making inquiries at the second development
= sample of people of first development i.e. 12
= sample of people of second development i.e. 24
(1) Null Hypothesis, :
{population means are same}
Alternate Hypothesis, :
{population means are different}
<u>DECISION RULE ;</u>
- If the test statistics is less than the critical value of t from table at 5% significance level, then we will accept null hypothesis,
.
- If the test statistics is more than the critical value of t from table at 5% significance level, then we will reject null hypothesis,
(2) The test statistics is given by;
~
where, = Sample mean income of people at first development
= $153,000
= Sample mean income of people at second development = $171,000
= $42,000 and
= $30,000
=
= 34344.30
Test statistics = ~
= -1.48
(3) At 5% level of significance, t table gives critical value of 2.032 at 34 degree of freedom.Since our test statistics is less than the critical value of t so considering our decision rule, we will accept null hypothesis.
And conclude that population means are same.