This preview shows page 1. Sign up to view the full content.
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 pvalue
Calculate the pvalue 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 ttest
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...
View
Full
Document
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.
 Spring '08
 Ioudina

Click to edit the document details