A supplier tells a large hospital stockroom that the facility should buy 30% small, 45% medium and 25% large surgi-cal gloves. When the stockroom manager randomly surveys 100 workers about their size preferences, 23 request small,57 medium, and 30 large gloves. The manager wonders thisconstitutes evidence that the supplier’s recommendationwon’t meet the hospital’s needs? What test should she run?A) chi-square goodness of fit testB) chi-square test of homogeneityC) 1-sample t-testD) 1-proportion z-testE) 2-proportion z-test

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A: " Since you have posted a question with multiple sub-parts, we will solve the first three subparts…

Q: I need the solution

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A: Given that  p=45.3% , n=500 , X=200

Q: Sample 2: Selected-Response Given: ARST ~ AJKL, RS = 8 centimeters, JK = 16 centimeters, and KL = 14…

A: Given:   ∆ RST ~ ∆ JKL     RS = 8     JK = 16      KL = 14       ST = ?

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A: Given information: The data represents the test scores of 3 programs A, B and C.

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A: In the question it is asked to choose the option which is most likely to be the best for the study.…

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A:

Q: Which of the following options correctly described how to obtain the estimated standard error in a…

A: here use basic of t -test

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A:

Q: (a) Identify each of 30 and 27.90 as a parameter or a statistic. 30 is a 27.90 is a e Textbook and…

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Q: First quartile  Q1

A: Since , the sample data is given by  12,31,11,45,33,44,9,47,4,36,2,26 We want to find the first…

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A:

Q: Thank you

A: I have written the answer,  I hope this helps you.Explanation:Answer (a):This study utilizes a…

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Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.