Preview - Sampling Distributions 2021

A quick review...


Recall from Chapter 2, we had two main calculator functions that were used:

  • normalcdf(lower bound, upper bound, mean, st dev): used to find the area under the Normal distribution between two bounds
    • Example: IQ scores are normally distributed with mean 100 and a standard deviation of 15. Calculate the proportion of individuals that have IQ scores above 135.
    • Solution: normalcdf(135, , 100, 15) ≈ 0.0098 --> approx 1%
  • invNorm(area under the Normal distribution to the LEFT of a z-score ("percentile"), mean, st dev): used to find the z-score or observation in a Normal distribution that is located at the nth percentile. 
    • Example: IQ scores are normally distributed with mean 100 and a standard deviation of 15. Mr Mills claims he scored in the 98th percentile on an IQ test. What is his IQ score?
    • Solution: invNorm(0.98, 100, 15) ≈ 130.81

Answer the following questions below using your knowledge from Chapter 2


Questions

Please answer the questions below.

Calculate the z-scores for each of the following percentiles:


Calculate the following percentiles, given the z-score:


Notes

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