Please answer part a and the questions below B) Identify the critical values (round to 4 decimal places) C) Determine the test statistic D) State the conclusion_____ H0. There is _____ evidence to conclude the population mean amount is different from 8.17 ounces A manufacturer of chocolate candies uses machines to package candies as they move along a filling line. Although the packages are labeled as 8 ounces, the company wants the packages to contain a mean of 8.17 ounces so that virtually none of the packages contain less than 8 ounces. A sample of 50 packages is selected periodically, and the packaging process is stopped if there is evidence that the mean amount packaged is different from 8.17 ounces. Suppose that in a particular sample of 50 packages, the mean amount dispensed is 8.168 ounces, with a sample standard deviation of 0.052 ounce. Complete parts (a) and (b).Click here to view page 1 of the critical values for the t Distribution.Click here to view page 2 of the critical values for the t Distribution.a. Is there evidence that the population mean amount is different from 8.17 ounces? (Use a 0.05 level of significance.)State the null and alternative hypotheses.H₀: μ = [textbox]H₁: μ ≠ [textbox](Type integers or decimals.)

We have given that Sample size n=50 , sample mean =8.168 mu=8.17 , s= 0.052 level of significance…

Answered: A manufacturer of chocolate candies…

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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Please answer part a and the questions below B) Identify the critical values (round to 4 decimal places) C) Determine the test statistic D) State the conclusion _____ H0. There is _____ evidence to conclude the population mean amount is different from 8.17 ounces

A manufacturer of chocolate candies uses machines to package candies as they move along a filling line. Although the packages are labeled as 8 ounces, the company wants the packages to contain a mean of 8.17 ounces so that virtually none of the packages contain less than 8 ounces. A sample of 50 packages is selected periodically, and the packaging process is stopped if there is evidence that the mean amount packaged is different from 8.17 ounces. Suppose that in a particular sample of 50 packages, the mean amount dispensed is 8.168 ounces, with a sample standard deviation of 0.052 ounce. Complete parts (a) and (b).

Click here to view page 1 of the critical values for the t Distribution.
Click here to view page 2 of the critical values for the t Distribution.

a. Is there evidence that the population mean amount is different from 8.17 ounces? (Use a 0.05 level of significance.)

State the null and alternative hypotheses.

H₀: μ = [textbox]
H₁: μ ≠ [textbox]

(Type integers or decimals.)

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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