'Reject null hypothesis' presentation slideshows

Chapter 12

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Random variable

Random variable. Distribution. 200 trials where I flipped the coin 50 times and counted heads. no_of_heads in a trial. or I can describe frequencies in percentages. no_of_ones. or as a cumulative histogram. no_of_ones. which can also be in percentage scale. no_of_ones.

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Modern Languages

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Introductory Statistics for Business BBA 2018/19

Introductory Statistics for Business BBA 2018/19. Testing Hypotheses. Partially based on Business Statistics, N. Sharpe et al. Example One common theory of market behavio u r says that on a given day, the market is just as likely to move up as down.

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MPP Stats Bootcamp W (12:00-1:50), Week 8

MPP Stats Bootcamp W (12:00-1:50), Week 8. Instructor: Dr. Alison Johnston ( Alison.Johnston@oregonstate.edu ) http:// oregonstate.edu/cla/polisci/alison-johnston SOC 516 Class Tutor: Daniel Hauser ( hauserd@onid.orst.edu ). Bootcamp Outline. Week 7: Significance testing

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MGMT 276: Statistical Inference in Management Fall , 2013

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Lab 2: repeated measures ANOVA

Lab 2: repeated measures ANOVA. Inferior parietal involvement in long term memory. There is a hypothesis that different brain regions are recruited during recall processes

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Hypothesis Testing

Hypothesis Testing. Tests of Significance. 10.1 ? confidence interval to estimate population parameter 10.2 ? Test some claim about the population based on sample data. An Example.

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CHAPTER 2

CHAPTER 2. Statistical Inference 2.1 Estimation Confidence Interval Estimation for Mean and Proportion Determining Sample Size 2.2 Hypothesis Testing: Tests for one and two means Test for one and two proportions. What is a Hypothesis?.

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PSY 1950 Null Hypothesis Significance Testing September 29, 2008

PSY 1950 Null Hypothesis Significance Testing September 29, 2008. vs. Finite Population Correction Factor. SEM and central limit theorem calculations are based on sampling with replacement from idealized, infinite populations

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Hypothesis Testing

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Hypothesis Testing

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Displaying data & lying with statistics Summarizing data Measures of location & dispersion

Displaying data & lying with statistics Summarizing data Measures of location & dispersion Probability Binomial, Poisson, & Normal distributions Functions of Random Variables e.g., mean & variance of a portfolio Estimation / Statistical inference Making guesses & stating confidence

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Lesson 3:

Lesson 3: . Determine mean for each group Compact cars Midsize cars Full-size cars. Determine Test Statistic, F F = MSTR / MSE; k -1 and n-k d.f. Calculate p -value If p < alpha, reject null hypothesis. Summarize data in an ANOVA table. Example 2: .

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Tests of Significance

Tests of Significance. Section 10.2. Tests of Significance. Used to assess the evidence in favor of some claim.

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Basics of ANOVA

Basics of ANOVA. Why ANOVA Assumptions used in ANOVA Various forms of ANOVA Simple ANOVA tables Interpretation of values in the table Exercises. Why ANOVA.

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HYPOTHESES INFLUENCE OF ANTAGONISM ON DRUG ACTION

HYPOTHESES INFLUENCE OF ANTAGONISM ON DRUG ACTION. NULL HYPOTHESIS Effect on intestinal motility Acetylcholine = NSS= Acetylcholine + Atropine = Acetylcholine + Epinephrine ALTERNATIVE HYPOTHESIS Effect on intestinal motility

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