Z-Distribution Intervals 1. State at least two methods you may use to determine if sampling distributions may be considered normally distributed: a.
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- If a 90%, a 95% and a 99% confidence interval are foung for a population mean, describe how the 3 interval estimates are related to each other. Which of the 3 intervals is most likely to contain the population mean?The first quartile of the data values 45, 48, 31, 48, 50, 30 equals ?what is interval data?
- Find an example of a confidence interval for a proportion in the media or scholarly literature (do not use a statistics textbook or website/article that is teaching or demonstrating statistics to find the example).At the very least it must include either the lower and upper bounds or a point estimate with a margin of error.Make sure you have a Proportion confidence interval and NOT a CI for the mean, odds ratio, hazard ratio, or relative risk as these will result in having to REDO the assignment(a) Include a digital photo/screenshot of the original appearance of the confidence interval and a link to the website (or citation) where it can be found. (b) Write the confidence interval in the form (lower bound, upper bound). If there are multiple confidence intervals, just pick one. (c) State the population parameter this confidence interval is trying to estimate. (d) State the confidence level and sample size. If no confidence level is given assume it is 95%95%. (e) Use the point…Comstruct 90% Confidence Interval.construct a confidence interval for this data. You should construct a 95% confidence interval for this data. How you do this will depend on whether your data is summarized using a mean or proportions. If you have categorical data, you will have to pick one of the categories and focus on a confidence interval for the proportion for that category, and you only need to do one for that one category. Please show the parts of your equation (point estimate, Z or T, and standard error) in addition to your final result.
- Describe what an unbiased estimator is and give an example of an unbiased estimator and a biased estimator.Explain when the empirical rule can be used to help describe data in a population or sample, defining which data distributions cannot be explained by this rule..Explain the difference between a point estimate and confidence interval. Provide an example.