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Confidence Intervals and Hypothesis Tests: Two Samples - Florida ...

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Step 1 Gather Data for the Problem, Calculate X1 − X 2 , <strong>and</strong> Calculate<br />

Step 2 Find / 2<br />

Step 3 Find E =<br />

tα using n1 + n2<br />

− 2 as the degrees of freedom<br />

S S<br />

2 2<br />

p p<br />

α / 2 +<br />

n1 n2<br />

t<br />

⎡⎣ ( X − X ) − E,( X − X ) + E⎤⎦<br />

Step 4 Form 1 2 1 2<br />

S<br />

2<br />

p<br />

=<br />

STATSprofessor.com<br />

Chapter 9<br />

( − 1) + ( −1)<br />

n s n s<br />

2 2<br />

1 1 2 2<br />

n + n − 2<br />

1 2<br />

9.4 t-Test to Compare <strong>Two</strong> Population Means: Independent <strong>Samples</strong> (Equal Variances)<br />

Small-Sample <strong>Hypothesis</strong> Test of: H : ( µ − µ ) = D , H : ( µ − µ ) ≤ D , or : ( µ µ )<br />

0 1 2 0<br />

0 1 2 0<br />

H − ≥ D<br />

0 1 2 0<br />

We will use the same seven steps as always; however, we will need a new t-test statistic. If we assume<br />

equal variances, the test statistic for these problems will be:<br />

The equal variance case<br />

Steps:<br />

( − ) − ( − 1) + ( −1)<br />

X X D n s n s<br />

t = where S =<br />

1 2<br />

2 2<br />

0 2 1 1 2 2<br />

,<br />

2 2<br />

p<br />

S n1 n2<br />

2<br />

p S<br />

+ −<br />

p<br />

+<br />

n n<br />

1 2<br />

1. Express the original claim symbolically<br />

2. Identify the Null <strong>and</strong> Alternative hypothesis<br />

3. Record the data from the problem<br />

4. Calculate the test statistic*<br />

5. Determine your rejection region<br />

6. Find the initial conclusion<br />

7. Word your final conclusion<br />

, <strong>and</strong> d.f.= n1 + n2<br />

− 2<br />

7

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