Testing_for_Means 9.1-9.5

05 what can you conclude about this test condence

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Unformatted text preview: esis Testing for Population Means Hypothesis Testing for One Population Mean Comparing Two Means for Two Independent Populations Comparing Two Means for Two Dependent Populations Find the p-value Calculate the p-value for: 1 P (t > 1.93) =? with df=15 2 P (t < −1.7) =? with df =20 3 P (|t | > 2.09) =? with 23 df 4 If the significance leve α = 0.05, what can you conclude about this test? Confidence Intervals and Hypothesis Testing for Population Hypothesis Testing for Population Means Hypothesis Testing for One Population Mean Comparing Two Means for Two Independent Populations Comparing Two Means for Two Dependent Populations One sample t-test Test of Hypotheses about µd 1H 0 : µ = µ0 , Ha : µ = µ0 2H 0 : µ = µ0 , Ha : µ > µ0 3H 0 : µ = µ0 , Ha : µ < µ0 Test Statistic tcalculated = x − µ0 ¯ √ S/ n Rejection Rule: 1 Reject H 0 if |t | > tα /2,(n−1) 2 Confidence Intervals and Hypothesis Testing for Population Hypothesis Testing for Population Means Hypothesis Testing for One Population Mean Comparing Two Means for Two Independent Populations Comparing Two Means for Two Dependent Populations Joke Statistics joke: Two unbiased estimators are sitting in a bar. One asks the other: “So how is married life?” Answer: “Well, it’s good if you don’t mind giving up one degree of freedom.” Confidence Intervals and Hypothesis Testing for Population Hypothesis Testing for Population Means Hypothesis Testing for One Population Mean Comparing Two Means for Two Independent Populations Comparing Two Means for Two Dependent Populations Joke Statistics joke: Two unbiased estimators are sitting in a bar. One asks the other: “So how is married life?” Answer: “Well, it’s good if you don’t mind giving up one degree of freedom.” Confidence Intervals and Hypothesis Testing for Population Hypothesis Testing for Population Means Hypothesis Testing for One Population Mean Comparing Two Means for Two Independent Populations Comparing Two Means for Two Dependent Populations Joke Statistics joke: Two unbiased estimators are sitting in a bar. One asks the other: “So how is married life?” Answer: “Well, it’s good if you don’t mind giving up one degree of freedom.” Confidence Intervals and Hypothesis Testing for Population Hypothesis Testing for Population Means Hypot...
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This test prep was uploaded on 03/12/2014 for the course STATS 10 taught by Professor Ioudina during the Spring '08 term at UCLA.

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