An Introduction to Inference for a Proportion

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An introduction to inference procedures for a single proportion. I discuss confidence intervals and hypothesis testing methods for a single proportion (based on the normal approximation).
  1. jbstatistics
  2. proportions
  3. inference
  4. inference for proportions
  5. confidence interval for a proportion
  6. hypothesis tests on a proportion
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Комментарии
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3:52, Thank you for clarifying this point.

taladiv
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I am confused as some books for normality use np>5 or np>10 ?you are using np>15.Which one is more accurate?

yekhtiari
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why we use z-score for inference of proportion but use t-score for inference of mean?

jtrai
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Question : Unlike previous scenarios, the population proportion does not follow a normal distribution (since it's between 0 and 1). sort of bounded. We know this for a fact, so can we not start with the assumption that the population proportion follows an example : a Beta distribution maybe. And using that can we do some Hypothesis testing ?

ZicoGhosh
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Hi professor Jeremy,
At ~4mins into the video, the test statistic Z was used in the calculation of confidence interval of the population proportion. It's my limited understanding that if the variance of the sampling distribution cannot be determined accurately (due to unknown population proportion in this case), then a t-distribution should be used in place of Z-distribution, as the variance in this case is estimated using the sample proportion. Could you kindly point me to where my understanding is wrong ?

weisanpang