Approximately 58% of all people are able to wink with both eyes. Is this percent different for people who wear glasses? A researcher tests 319 people who wear glasses and found that 204 could wink with both eyes. What can be concluded at the αα = 0.05 level of significance?For this study, we should use Select an answer z-test for the difference between two population proportions t-test for a population mean z-test for a population proportion t-test for the difference between two dependent population means t-test for the difference between two independent population means The null and alternative hypotheses would be: H0:H0: Select an answer μd p1 p μ1 μ Select an answer ≥ = ≠ ≤ H1:H1: Select an answer μ μ1 p p1 μd Select an answer < ≠ > = The test statistic ? z t = (round to 3 decimal places)The p-value = (round to 4 decimal places)The p-value is ? > ≤ αα.Based on this, we should Select an answer accept reject fail to reject the null hypothesis.Explain in your own words what you can conclude from this hypothesis test.

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Description: Approximately 58% of all people are able to wink with both eyes. Is this percent different for people who wear glasses? A researcher tests 319 people who wear glasses and found that 204 could wink with both eyes. What can be concluded at the αα = 0.0

From the provided information, Population proportion (p) = 0.58 Sample size (n) = 319 Out of which…

Answered: Approximately 58% of all people are…

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter4: Equations Of Linear Functions

Section4.5: Correlation And Causation

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Approximately 58% of all people are able to wink with both eyes. Is this percent different for people who wear glasses? A researcher tests 319 people who wear glasses and found that 204 could wink with both eyes. What can be concluded at the αα = 0.05 level of significance?

For this study, we should use Select an answer z-test for the difference between two population proportions t-test for a population mean z-test for a population proportion t-test for the difference between two dependent population means t-test for the difference between two independent population means
The null and alternative hypotheses would be:

H0:H0: Select an answer μd p1 p μ1 μ Select an answer ≥ = ≠ ≤

H1:H1: Select an answer μ μ1 p p1 μd Select an answer < ≠ > =

The test statistic ? z t = (round to 3 decimal places)
The p-value = (round to 4 decimal places)
The p-value is ? > ≤ αα.
Based on this, we should Select an answer accept reject fail to reject the null hypothesis.
Explain in your own words what you can conclude from this hypothesis test.

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