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Probability Models

Probability Models

Probability Models. Chapter 17. Objectives:. Binomial Distribution Conditions Calculate binomial probabilities Cumulative distribution function Calculate means and standard deviations Use normal approximation to the binomial distribution Geometric Distribution Conditions

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706 views • 70 slides
6.5: Estimating a Population Proportion

6.5: Estimating a Population Proportion

Objective : To estimate population proportions under specific conditions with various confidence levels. 6.5: Estimating a Population Proportion.

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825 views • 32 slides
Chapters 18 - 19

Chapters 18 - 19

Chapters 18 - 19. Sampling Distribution Models and Confidence Intervals. Example. We want to find out the proportion of men in U.S. population. We draw a sample and calculate the proportion of men in the sample. Suppose we find that the proportion = 60%.

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381 views • 30 slides
Chapter 17

Chapter 17

Chapter 17. Probability Models. Bernoulli Trials. The basis for the probability models we will examine in this chapter is the Bernoulli trial . We have Bernoulli trials if: there are two possible outcomes success and failure the probability of success, p , is constant .

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381 views • 24 slides
8.4: two-proportion inference tests

8.4: two-proportion inference tests

8.4: two-proportion inference tests. Objective: To test claims about inferences for two proportions, under specific conditions. The standard deviation of the difference between two proportions.

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435 views • 21 slides
More About Hypothesis Test

More About Hypothesis Test

More About Hypothesis Test. Chapter 21. The Null Hypothesis. To perform a hypothesis test, the null must be a statement about the value of a parameter for a model.

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385 views • 20 slides
Probability Models

Probability Models

Probability Models. Chapter 17. Bernoulli Trials (Binomial Setting). The basis for the probability models we will examine in this chapter is the Bernoulli trial . We have Bernoulli trials if: there are two possible outcomes (success and failure).

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359 views • 20 slides
Chapter 16

Chapter 16

Chapter 16. Probability Models. Bernoulli Trials. The basis for the probability models we will examine in this chapter is the Bernoulli trial . We have Bernoulli trials if: there are two possible outcomes (success and failure). the probability of success, p , is constant (fixed).

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183 views • 18 slides
6.5 B: Extension-Estimating a Population Proportion

6.5 B: Extension-Estimating a Population Proportion

Objective : To estimate population proportions with various confidence levels when specific conditions are not met. 6.5 B: Extension-Estimating a Population Proportion. When the Success/Failure Condition fails, all is not lost.

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211 views • 5 slides

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