'Population proportion' presentation slideshows

9 Master

9 Master. Presentation 8.1. Example. A survey of 436 workers showed that 192 of them said that it was seriously unethical to monitor employee e-mail. When 121 senior-level bosses were surveyed, 40 said that it was seriously unethical to monitor employee e-mail.

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Chapter 9: Statistical Inference: Significance Tests About Hypotheses

Chapter 9: Statistical Inference: Significance Tests About Hypotheses. Section 9.1: What Are the Steps for Performing a Significance Test?. Learning Objectives. 5 Steps of a Significance Test Assumptions Hypotheses Calculate the test statistic P-Value Conclusion and Statistic Significance.

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Chapter Sampling Distributions

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If we live with a deep sense of gratitude, our life will be greatly embellished.

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Some Concepts * Estimators : Random variables used to estimate population parameters. Example :

Some Concepts * Estimators : Random variables used to estimate population parameters. Example : p hat is an estimator of p * Estimates: Specific values of an estimator. Example :. * Point Estimates : Specify a single value of a population parameter.

947 views • 45 slides

Chapter 9

Chapter 9. Hypothesis Testing Null and Alternative Hypotheses and Errors in Testing Large Sample Tests about a Mean: Rejection Points Small Sample Tests about a Population Mean Hypothesis Tests about a Population Proportion. Introduction. A Hypothesis Test is a statistical procedure

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4.4 Sampling Distribution Models and the Central Limit Theorem

4.4 Sampling Distribution Models and the Central Limit Theorem. Transition from Data Analysis and Probability to Statistics. Sampling Distributions. Population parameter : a numerical descriptive measure of a population.

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Chapter 18 -- Part 1

Chapter 18 -- Part 1. Sampling Distribution Models for. Sampling Distribution Models. Population Parameter?. Population. Inference. Sample Statistic. Sample. Objectives. Describe the sampling distribution of a sample proportion

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Chapter 8

Chapter 8. Sampling Distribution of a Statistic. Binomial Distribution. A binomial random variable X is the total number of successes in n independent Bernoulli trials, on which each trial, the probability of success is p. We say X is B ( n,p ).

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Chapter 5 Sampling Distributions

Chapter 5 Sampling Distributions 5.1 Sampling distributions for counts and proportions 5.2 Sampling distributions of a sample mean Chapter 5.1 Sampling distributions for counts and proportions Objectives Binomial distributions for sample counts

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GATHERING AND PRODUCING DATA

GATHERING AND PRODUCING DATA. How Data are Obtained. Census Everyone is included Observational Study Observes individuals and measures variables but does not attempt to influence responses Includes surveys and polls Experiment

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The Normal Probability Distribution

The Normal Probability Distribution. What is a distribution? A collection of scores, values, arranged to indicate how common various values, or scores are. Mean (population, sample) Standard deviation (population, sample) Median Mode. Scores in our class.

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Doing Statistics for Business Data, Inference, and Decision Making Marilyn K. Pelosi Theresa M. Sandifer

Doing Statistics for Business Data, Inference, and Decision Making Marilyn K. Pelosi Theresa M. Sandifer. Chapter 9 Inferences: One Population . Doing Statistics for Business. Chapter 9 Objectives Hypothesis Test of the Population Mean, ? : Small Sample

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Confidence Intervals

Confidence Intervals. 6. Elementary Statistics Larson Farber. Section 6.1. Confidence Intervals for the Mean (large samples). Point Estimate. DEFINITION: A point estimate is a single value estimate for a population parameter. The best point estimate of the population mean

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Point and Interval Estimates

A point estimate is a single value (statistic) used to estimate a population value (parameter). . Point and Interval Estimates. A confidence interval is a range of values within which the population parameter is expected to occur. .

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Estimating Population Parameters

Estimating Population Parameters. Estimating Population Proportion. The sample is a simple random sample The conditions for the binomial distribution are satisfied. There are at least 5 successes and 5 failures. Requirements:.

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Sampling distributions - for counts and proportions

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Extra Notes

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Distributions of Sample Means and Sample Proportions

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Confidence Interval for the Population Proportion

Confidence Interval for the Population Proportion.

254 views • 11 slides