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Statistical inference

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

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

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Statistics
Statistical tests
Hypothesis testing
Statistical inference
Design of experiments
Categorical data
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.

Chapter 19 Powerpoint Outline

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Statistics
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Hypothesis testing
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Stats: Modeling the World Chapter 19 Confidence Intervals for Proportions Making an educated guess? Rarely do we actually know information about our population. Usually we: - take a sample - find a sample statistic - make a guess about the true parameter value Our guess will be a bit off, this is the idea of a confidence interval. The sample proportion ? Recall from Chapter 18 that the sampling distribution model of ? is centered at p, with standard deviation . Since we don?t know p, we can?t find the true standard deviation of the sampling distribution model, so we need to find the standard error: The Empirical Rule Revisited? By the 68-95-99.7% Rule, we know - about 68% of all samples will have ? ?s within 1 SE of p

Chapter 19 Answer Key

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Statistics
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Normal distribution
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AP Stats

Chapter 19 Confidence Intervals for Proportions 339 Chapter 19 ? Confidence Intervals for Proportions 1. Margin of error. He believes the true proportion of voters with a certain opinion is within 4% of his estimate, with some degree of confidence, perhaps 95% confidence. 2. Margin of error. He believes the true percentage of children who are exposed to lead-base paint is within 3% of his estimate, with some degree of confidence, perhaps 95% confidence. 3. Conditions. a) Population ? all cars; sample ? 134 cars actually stopped at the checkpoint; p ? proportion of all cars with safety problems; p? ? proportion of cars in the sample that actually have safety problems (10.4%). Plausible Independence condition: There is no reason to believe that the safety problems

Environmental Sceince Voc.

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Environmental Science
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Design of experiments
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Behavior
Hypothesis testing
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Scientific method
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Statistical hypothesis testing
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Attachment theory
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Technology

Environmental Science Voc. Mrs. Potts Conservationist- a person who limits there usage of resources for future generations Economist- a person who doesn?t care about protecting the environment and lives for today Preservationist- a person who chooses not to do anything to damage the environment Experiment - a recorded way to test a hypothesis Meniscus ? the bubble of fluids measured from the bottom of meniscus (eye level) Hypothesis ? educated guess Inference- to take data and create a hypothesis Analyze- to decipher out what data means Data- recorded information about experiment Pipette ? a tool used to take samples also used to measure fluids Conclusion ? end result from testing and analyzing Turbid ? dirty cloudy water EPA ? Environmental Protection Agency

Environmental Sceince Voc.

Subject: 
Environmental Science
Rating: 
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SocialTags: 
Science
Design of experiments
Statistics
Behavior
Hypothesis testing
Statistical inference
Scientific method
Evaluation methods
Statistical hypothesis testing
Experiment
Attachment theory
Hypothesis
Environment
Technology

Environmental Science Voc. Mrs. Potts Conservationist- a person who limits there usage of resources for future generations Economist- a person who doesn?t care about protecting the environment and lives for today Preservationist- a person who chooses not to do anything to damage the environment Experiment - a recorded way to test a hypothesis Meniscus ? the bubble of fluids measured from the bottom of meniscus (eye level) Hypothesis ? educated guess Inference- to take data and create a hypothesis Analyze- to decipher out what data means Data- recorded information about experiment Pipette ? a tool used to take samples also used to measure fluids Conclusion ? end result from testing and analyzing Turbid ? dirty cloudy water EPA ? Environmental Protection Agency
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