'True proportion' presentation slideshows

Chapter

Chapter. 10. Hypothesis Tests Regarding a Parameter. Section. 10.1. The Language of Hypothesis Testing. Objectives. Determine the null and alternative hypotheses Explain Type I and Type II errors State conclusions to hypothesis tests. Objective 1.

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Simulating with StatKey

Simulating with StatKey. Kari Lock Morgan Department of Statistical Science Duke University kari@stat.duke.edu Joint Mathematical Meetings, San Diego 1/11/13. StatKey.

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Proportions

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Sampling Distributions

Sampling Distribution of. Sampling Distribution of. Sampling Distribution for the Difference between Two Means. Sampling Distribution for the Difference between Two Proportions. Sampling Distributions. Introduction. Point Estimation. Introduction.

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Confidence Intervals with Proportions

Confidence Intervals with Proportions. Sea Fan. Suppose we wanted to estimate the proportion of registered voters who are more enthusiastic about voting in this election compared to other years? Suppose we wanted to estimate the proportion of Dr. Pepper cans that are under-filled?.

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10.3 Estimating a Population Proportion

10.3 Estimating a Population Proportion. Objectives: Given a sample proportion determine the standard error of . Construct a confidence interval for a population proportion.

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Proportions, Ratio, Rate and Unit Rate Review

Proportions, Ratio, Rate and Unit Rate Review. Ratio. What is a ratio? A ratio is a comparison between two numbers. What is an example of a ratio? There are 15 boys in a class and 8 girls. A ratio to represent the class would be 15 : 8, 15 to 8 and 15 8

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Studying for the Final

Studying for the Final. http://diana-potrus.wikispaces.com/Student+Pages. http://www.shutterstock.com/pic-30485911/stock-photo-student-studying.html. ANOVA Table: Formulas. ANOVA Table: RCB. ANOVA Table: two-way. Summary Slide: SLR. ANOVA table - MRR. 1-sample ? 2 (univariate).

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Inference for a Population Proportion

Inference for a Population Proportion. AP Stats Section 12.1. Facts About Proportions. Population Proportion = p Usually given in the problem somehow. Sample Proportion = Usually have to calculate from data in the problem. Assumptions. Data come from a SRS.

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Sampling Distributions: Proportions

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4.1 Using Proportional Reasoning

4.1 Using Proportional Reasoning. Objectives: Identify the means and extremes of a proportion. Use proportions to solve problems. Standards Addressed: 2.1.8.D: Apply ratio and proportion to mathematical problems. 2.10.8.A: Compute measures of sides using proportions. Ex. 1. Ex. 2.

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Creating Multiple Proportions

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Hypothesis Testing on Vacation

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NFL Concussion Rate

The NFL concussion rate for former NFL players is more than 61 percent. Based on a study through CBC News. . NFL Concussion Rate. ?. DATA FOR A 90% CL. N=1,094 p ^=.61 q ^=.39 CL=.90. E= 1.64 ? .61(.39)/1094 E=.02 .61-.02<p<.61+.02 .59<p<.63

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Chapter 10: Confidence Intervals

Chapter 10: Confidence Intervals. Section 2: Estimating a Population Proportion. Margin of Error. To calculate our margin of error in this case, we will use:. CI for Population Proportion (when p is known ).

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Ratios and proportions

Ratios and proportions. Definitions. Ratio : is a comparison of two numbers by division. Example: x to y; x:y; x/y or x divided by y Means-Extremes Property of Proportions : In a proportion, the product of extremes is equal to the product of the means.

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Using JMP Scripts in Introductory Statistics*

Using JMP Scripts in Introductory Statistics*. Amy G. Froelich. William M. Duckworth. Creighton University. Iowa State University. Concepts from Introductory Statistics:. Relationship Between Mean and Median Normal Quantile Plots Regression and Residual Plots

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