'True population proportion' presentation slideshows

Distribution of total and sample mean

Distribution of total and sample mean. Sample Statistics & Data display. We can calculate statistics form a sample. These reflect what is happening in the population as a whole. The statistics in the sample reflect the parameters in the population. Example.

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5 minute Summary of 10.1!

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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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Inference about Mean (? Unknown)

Inference about Mean (? Unknown). When ? is known, the sampling distribution for a sample mean is normal if conditions are satisfied.

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Are you here?

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Sampling Distributions

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Estimating a Population Proportion

Estimating a Population Proportion. Goal: Given a sample proportion, estimate the value of the population proportion p .

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Chapter 11: Inference for Distributions of Categorical Data

Chapter 11: Inference for Distributions of Categorical Data. Section 11.1 Chi-Square Goodness-of-Fit Tests. Introduction

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Chapter 8 Inference for Proportions

Chapter 8 Inference for Proportions. 8.1 Inference for a single proportion. Recall: Proportions (p). For each individual in the study, we record a binary outcome (Yes/No; Success/Failure) rather than a continuous measurement

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Chapter 5 Sampling Distribution of the Proportion

Chapter 5 Sampling Distribution of the Proportion. Estimation Proportion Sampling Proportion Law of Large Numbers Normal Approximation of Sample Proportion Estimating Sample Proportion. Estimation. Population/Target Population. Sample.

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Rule of sample proportions

Rule of sample proportions. IF:. There is a population proportion of interest We have a random sample from the population The sample is large enough so that we will see at least five of both possible outcomes. THEN:.

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STAT E100

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Section 2.2:

Section 2.2:. What do samples tell us?. Should gambling be legal?. What were the major ideas from this activity? Finding a proportion for the TRUE population (for everyone or everything) is almost impossible to do. The more samples you take, the more

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TEKS

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AP STATS: WARM UP

AP STATS: WARM UP. I think that we might need a bit more work with graphing a SAMPLING DISTRIBUTION. 1.) Roll your dice twice (i.e. the sample size is 2, n = 2). 2.) Add the two numbers up and get the mean. 3.) Record this result. 4.) Repeat this 10 times.

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Estimating Proportions with Confidence

Estimating Proportions with Confidence. Thought Questions. A 95% confidence interval for the proportion of adults in the U.S. who have diabetes extends from .07 to .11, or 7% to 11%. What does it mean to say that the interval from .07 to .11 represents a 95% confidence interval

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One sample statistical tests: Sample Proportion

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STA291

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Tests of Significance for Proportions:

Tests of Significance for Proportions:. Formalizing what you have been doing all along. Recall the Kissing Couples study (from 04/04). Researchers observed 124 randomly selected couples from various age groups kissing in public places in the U.S., Germany, and Turkey.

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Confidence Intervals

Confidence Intervals. Confidence Interval : An interval of values computed from the sample, that is almost sure to cover the true population value. We make confidence intervals using values computed from the sample, not the known values from the population

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