Please provide the R code for the following using the precip dataset Use the sample function to take a sample of size 25 from the data points in the precip   data set. Conduct a hypothesis test to determine if the proportion of cities with an average rainfall of at least 20 inches is equal to 0.65 or not at a 90% significance level. Clearly state your hypotheses, rejection rule, and conclusion in your report. Based on your observations of the sample data, conduct a one sided test to determine if the proportion parameter is greater than (or less than, you will need to choose the direction to test) 0.65. Clearly state your hypotheses, rejection rule, and conclusion in your report. Compute the proportion of cities in the full data set that have more than 20 inches of rain each year. With this information, do you think your test results are correct? Explain any discrepancies or issues that you see.

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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Please provide the R code for the following using the precip dataset

  1. Use the sample function to take a sample of size 25 from the data points in the precip

     

    data set.
  2. Conduct a hypothesis test to determine if the proportion of cities with an average

    rainfall of at least 20 inches is equal to 0.65 or not at a 90% significance level. Clearly

    state your hypotheses, rejection rule, and conclusion in your report.

  3. Based on your observations of the sample data, conduct a one sided test to determine if the proportion parameter is greater than (or less than, you will need to choose the direction to test) 0.65. Clearly state your hypotheses, rejection rule, and conclusion in your report.

  4. Compute the proportion of cities in the full data set that have more than 20 inches of rain each year. With this information, do you think your test results are correct? Explain any discrepancies or issues that you see.

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