The owner of an ice cream shop claims that 40% of his customers prefer chocolate ice cream, 35% prefer vanilla ice cream, 15% prefer strawberry ice cream, and 10% prefer mint ice cream. One of his employees wishes to test this claim. The employee randomly selects 100 customers and asks them about their preferred ice cream flavor. The following table shows the preference of each of the 100 surveyed respondents.Chocolate vanilla strawberry mint 34312510Assuming the requirements for the procedure have been met, which of the following procedures should the employee use to test the owner's claim about his customers' ice cream preferences? - chi-square test for homogeneity-chi-square goodness-of-fit test-chi-square test for independence-one-sample ?‑test for a mean-one-sample ?‑test for a proportion

Hypothesis is an assumption that is being tested.

Answered: The owner of an ice cream shop claims…

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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The owner of an ice cream shop claims that 40% of his customers prefer chocolate ice cream, 35% prefer vanilla ice cream, 15% prefer strawberry ice cream, and 10% prefer mint ice cream. One of his employees wishes to test this claim. The employee randomly selects 100 customers and asks them about their preferred ice cream flavor. The following table shows the preference of each of the 100 surveyed respondents.

Chocolate	vanilla	strawberry	mint
34	31	25	10

Assuming the requirements for the procedure have been met, which of the following procedures should the employee use to test the owner's claim about his customers' ice cream preferences?

- chi-square test for homogeneity

-chi-square goodness-of-fit test

-chi-square test for independence

-one-sample ?‑test for a mean

-one-sample ?‑test for a proportion

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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