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P-value

Hypothesis Testing

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Statistics
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Statistical hypothesis testing
Statistical inference
Scientific method
Null hypothesis
P-value
Null distribution
Statistical significance
Alternative hypothesis
Statistics
Type I and type II errors
F-test
Test statistic

6-1 Section 6: Introduction to Hypothesis Testing To begin with, recall the ?Helper/Hinderer? study that we looked at on the first day of class: Case Study: Naughty or Nice? We all recognize the difference between naughty and nice, right? What about children less than a year old ? do they recognize the difference and show a preference for nice over naughty? In a study reported in the November 2007 issue of Nature, researchers investigated whether infants take into account an individual?s actions towards others in evaluating that individual as appealing or aversive, perhaps laying for the foundation for social interaction (Hamlin, Wynn, and Bloom, 2007). In one component of the study, 10-month-old

Ch 14.2 Chi square part 3 notes

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Statistics
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Statistical hypothesis testing
Probability and statistics
Normal distribution
Statistical tests
Nonparametric statistics
Pearson's chi-squared test
Chi-squared test
P-value
Chi-squared distribution
Categorical variable
Z-test

Chi-Square Test of Indep. - for problems with 2 categorical variables measured across a single population Ex: How does the presence of an exclusive-territory clause in the contract of a business relate to its survival? A study collected data from a sample of 170 franchise firms. (Note: A firm?s contract may or may not contain the entrepreneur?s right to an exclusive territory. This means the new outlet will be the only representative of the franchise in a specified territory and won?t have to compete with other outlets of the same chain.)

ch 14.2 notes part 3 chi square

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Statistics
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Statistics
Statistical hypothesis testing
Probability and statistics
Normal distribution
Statistical tests
Nonparametric statistics
Pearson's chi-squared test
Chi-squared test
P-value
Chi-squared distribution
Categorical variable
Z-test

Chi-Square Test of Indep. - for problems with 2 categorical variables measured across a single population Ex: How does the presence of an exclusive-territory clause in the contract of a business relate to its survival? A study collected data from a sample of 170 franchise firms. (Note: A firm?s contract may or may not contain the entrepreneur?s right to an exclusive territory. This means the new outlet will be the only representative of the franchise in a specified territory and won?t have to compete with other outlets of the same chain.)

Biostatistic

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Statistics
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Statistical hypothesis testing
Statistical tests
Nonparametric statistics
U-statistics
Design of experiments
Wilcoxon signed-rank test
Student's t-test
Mann–Whitney U test
Sign test
P-value
Null hypothesis
Chi-squared test

Biostats Notes Section 2: Error I and II: State of nature: 1% of population has a disease Type I error rate =0.05 (false positive rate) Type II error rate = 0.10 (detection rate = 0.90) If someone has a positive test, what is the probability of the person having the disease? What are consequences of Type I and II errors? Testing a drug for a potential benefit? Testing a drug for harmful side effects? Which error is more serious? 10/24 T-Test: One Sample T-Test: T-statistic: Null Hypothesis: ? = C The sample mean does not differ from the known population mean. Degrees of freedom: df=n-1 Independent samples / Two-sample T-Test: Null Hypothesis: ?1 = ?2 The means do not differ. Degrees of Freedom (df=n1+n2-2):

Chapter 11 Test written for Practice of Statistics (Yates, Starnes and Moore) 4th edition

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Statistical tests
Hypothesis testing
Statistical inference
Design of experiments
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Statistical hypothesis testing
P-value
Null hypothesis
Student's t-test
Goodness of fit
F-test

Honors Statistics: Chapter 11 Test name___________________ Multiple Choice 1. From experience, the owner of an ice-cream shop has found that 60% of all sales of ice-cream cones are for one-scoop cones, 30% are for two-scoop cones, and the remaining 10% are for three-scoop cones. Recently, the shop added frozen-yogurt cones to its menu. A random sample of 250 sales of frozen-yogurt cones revealed the following distribution: The owner wishes to know whether the pattern of sales for frozen-yogurt cones differs from that of ice-cream cones. In a goodness-of-fit test based on the ?2 distribution, the expected count for "number of two-scoop frozen-yogurt cone sales" would be A. 84. B. 75. C. 83.33.
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