How to calculate sample proportion stats

    • [DOC File]Sampling and Sample Size - Columbia University

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      If the expected proportion is more than half, then plan the sample size based on the proportion expected NOT to have the characteristic. That is, switch the roles of P and 1-P. If P or 1-P is very close to 0 or 1 (i.e. the characteristic of interest is rare or happens most of the time), the sample size formula of N = 1 / E2 is not appropriate.

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    • [DOC File]Z-Score Practice Worksheet

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      A score of 60, where the mean score of the sample data values is 40. Z=2. A score that is 30 points below the mean. z=-3. A score of 80, where the mean score of the sample data values is 30. Z=5. A score of 20, where the mean score of the sample data values is 50. Z=-3. IQ scores have a mean of 100 and a standard deviation of 16.

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    • [DOC File]Test 9C - Mrs. Davis' AP Stat Page - Home

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      To answer this question, calculate the probability of obtaining a sample of 200 callers in which if the true population proportion of callers to the show who are male is still p = 0.20. Be sure to check that you can use the Normal approximation.

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    • [DOC File]Sampling Distributions Worksheet

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      A would be impossible to calculate if the population weren’t normal. B and C would remain the same since 60 > 30, so the sampling distribution of sample means is normal, and the equations for the mean and standard deviation are valid. 2. Suppose that 47% of all adult women think they do not get enough time for themselves.

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    • [DOC File]PDA Stats Manual

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      Proportion. 1-Sample. A confidence interval for a population proportion: Input the number of successes, number of trials, and the confidence level. Output includes the sample proportion, the z critical value and the confidence interval. Tap in the desired box and a number pad will appear. Enter appropriate data. Tap calculate and data will ...

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    • [DOC File]Problem 4

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      (p is the population proportion and q=1-p) . After all, as seen before, the sample proportion is a sample mean.The ‘large population’ condition requires the sample size to be smaller than 10% of the population. The ‘large enough sample size’ condition is usually translated into checking that …

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    • [DOC File]AP Stats – Chapter 19 Reading Guide

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      confident that the true proportion lies in our interval.” Our uncertainty is about whether the particular sample we have at hand is one of the successful ones or one of the 5% that fail to produce an interval that captures the true value.

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    • [DOCX File]Probability: What Affects Estimates

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      proportion. of heads in each sample represented. Put the result in the . Proportions. sheet that has been laid out to receive them. (Nothing to hand in here.) A good way to do this: You can get data from cell B4 in the Numbers sheet using “=Numbers!B4”. To calculate the proportion for Student 1, Sample 1, we want to divide the number by 30.

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    • [DOC File]AP Stats Chapter 9 Notes: Sampling Distributions

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      The behavior of in repeated samples is much like that of the sample proportion. The sample mean is an unbiased estimator of the population mean . The values of are less spread out for larger samples. Their standard deviation decreases at the rate , so you must take a sample four times as large to cut the standard deviation of in half.

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    • [DOCX File]Purdue University - Department of Statistics

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      When we use confidence intervals we need a simple random sample and the data must be collected correctly. Here we only have a voluntary response sample which might be biased, therefore the result cannot be applied to all seventh-grade girls in that Midwest school district.

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