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The University Conducts a Study Designed to Find Out the Proportion

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The university conducts a study designed to find out the proportion of students who have conversational fluency in two or more foreign languages. The previous study provided the result of 7%. The test is carried out using data from a random sample of n = 72. In this sample, the number of students who speak two or more foreign languages is 10. Complete an appropriate hypothesis test with α = 0.05 and make a conclusion using the output from the Shiny app "Exact Binomial Test for One Proportion". ​ The university conducts a study designed to find out the proportion of students who have conversational fluency in two or more foreign languages. The previous study provided the result of 7%. The test is carried out using data from a random sample of n = 72. In this sample, the number of students who speak two or more foreign languages is 10. Complete an appropriate hypothesis test with α = 0.05 and make a conclusion using the output from the Shiny app  Exact Binomial Test for One Proportion . ​   ​ A)  The proportion of students who speak two or more foreign languages has certainly remained the same. B)  There is convincing evidence that the proportion of students who speak two or more foreign languages has decreased. C)  There is no convincing evidence that the proportion of students who speak two or more foreign languages has increased. D)  There is convincing evidence that the proportion of students who speak two or more foreign languages has increased. E)  The sample is too small to make a conclusion.


Definitions:

Product Markets

The venues or mediums where goods and services are bought and sold.

Standard Error

The standard deviation of the sampling distribution of a statistic, often estimating the precision of a sample mean relative to the population mean.

Individual Scores

The specific values or results obtained by individuals in a test or assessment, reflecting their performance or achievement.

T-statistic

A ratio that is derived from the standardized difference between two sample means divided by the standard error of the difference, used in hypothesis testing.

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