Unformatted text preview: 0 x − µ0
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K310 Statistical Techniques Inference for Distributions 7 / 26 Onesample t test example
Suppose the speciﬁcations of the corn soy blend are for 40 mg/100 g of
vitamin C. Does our sample conform to the speciﬁcations? K310 Statistical Techniques Inference for Distributions 8 / 26 Onesample t test example
Suppose the speciﬁcations of the corn soy blend are for 40 mg/100 g of
vitamin C. Does our sample conform to the speciﬁcations?
1 Hypotheses: K310 Statistical Techniques Inference for Distributions 8 / 26 Onesample t test example
Suppose the speciﬁcations of the corn soy blend are for 40 mg/100 g of
vitamin C. Does our sample conform to the speciﬁcations? 2 H0 : µ = 40
Ha : µ = 40
Sample information: x = 22.50 and s = 7.19.
¯ 3 P value: 4 Conclusion for α = 0.001: 1 Hypotheses: K310 Statistical Techniques Inference for Distributions 8 / 26 Onesample t test example
Now that we’ve done the twosided test, can we say that our sample is
signiﬁcantly smaller than the speciﬁcation? K310 Statistical Techniques Inference for Distributions 9 / 26 Onesample t test example
Now that we’ve done the twosided test, can we say that our sample is
signiﬁcantly smaller than the speciﬁcation?
1 Hypotheses: K310 Statistical Techniques Inference for Distributions 9 / 26 Onesample t test example
Now that we’ve done the twosided test, can we say that our sample is
signiﬁcantly smaller than the speciﬁcation? 2 H0 : µ = 40
Ha : µ < 40
Sample information: x = 22.50 and s = 7.19.
¯ 3 P value: 4 Conclusion for α = 0.0005: 1 Hypotheses: K310 Statistical Techniques Inference for Distributions 9 / 26 Matched pairs t tests
So far, we’ve talked about single samples. Suppose we want to compare
between two treatments (two diﬀerent groups)? Matched pairs study — each subject from Group A is matched with a
corresponding subject from Group B. Each group gets a diﬀerent
treatment, and the pairs are compared. Also use matched pairs when taking observations on the same subject
under di...
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 Spring '13
 PalanivelManoharan
 Statistics, Normal Distribution, Standard Deviation, Null hypothesis, Statistical hypothesis testing

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