Inference about Two Means: Independent Samples

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Presentation transcript:

Inference about Two Means: Independent Samples

Testing Hypothesis Regarding the Difference of Two Independent Means We have simple random samples from two populations The samples are independent of one another Each sample size is larger (n > 30) or its population is approximately normal

Classical Approach (TI-83/84) Write down a shortened version of claim Come up with null and alternate hypothesis (Ho always has the equals part on it) See if claim matches Ho or H1 Draw the picture and split α into tail(s) H1: μ1 ≠ μ2 Two Tail H1: μ1 < μ2 Left Tail H1: μ1 > μ2 Right Tail Find critical values (t-Distribution table, DF is based on smaller of n1 or n2) Find test statistic (2-SampTTest) If test statistic falls in tail, Reject Ho. If test statistic falls in main body, Accept Ho. Determine the claim based on step 3

P-Value Approach (TI-83/84) Write down a shortened version of claim Come up with null and alternate hypothesis (Ho always has the equals part on it) See if claim matches Ho or H1 Find p-value (2-SampTTest) If p-value is less than α, Reject Ho. If p-value is greater than α, Accept Ho. Determine the claim based on step 3

TI-83/84 Instructions  

1. Claim and Confidence Interval Test whether μ1 ≠ μ2 at the α = 0.05 level of significance for the given sample data Construct a 95% confidence interval Population 1 Population 2 n 20 15 35 34.2 s 4.3 5.1

2. Claim and Confidence Interval Test whether μ1 < μ2 at the α = 0.05 level of significance for the given sample data Construct a 99% confidence interval Population 1 Population 2 n 30 28 20 18 s 5.2 7