In 2016, 77% of American households owned at least one cell phone. A researcher believes this proportion has increased. A random sample of 125 households is obtained, and it is determined that 108 of them own at least one cell phone. At the level of significance, test the researcher’s hypothesis. You may use StatCrunch Set up the null and alternative hypotheses: Is the test Left-tail Right-tail Two-tailed Find , the sample proportion (use 3 decimal places): You can assume that the sample size is not too big. Check the requirement that the sample size is big enough: Calculate the test statistic using the formula or obtain it from StatCrunch (2 decimals):
In 2016, 77% of American households owned at least one cell phone. A researcher believes this proportion has increased. A random sample of 125 households is obtained, and it is determined that 108 of them own at least one cell phone. At the level of significance, test the researcher’s hypothesis. You may use StatCrunch Set up the null and alternative hypotheses: Is the test Left-tail Right-tail Two-tailed Find , the sample proportion (use 3 decimal places): You can assume that the sample size is not too big. Check the requirement that the sample size is big enough: Calculate the test statistic using the formula or obtain it from StatCrunch (2 decimals):
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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In 2016, 77% of American households owned at least one cell phone. A researcher believes this proportion has increased. A random sample of 125 households is obtained, and it is determined that 108 of them own at least one cell phone. At the level of significance, test the researcher’s hypothesis. You may use StatCrunch
- Set up the null and alternative hypotheses:
- Is the test Left-tail Right-tail Two-tailed
- Find , the sample proportion (use 3 decimal places):
- You can assume that the
sample size is not too big. Check the requirement that the sample size is big enough:
- Calculate the test statistic using the formula or obtain it from StatCrunch (2 decimals):
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