Please use the following information to answer questions 3a-3c: A random sample of n = 25 individuals is selected from a population with µ = 20, and a treatment is administered to each individual in the sample. After treatment, the sample mean is found to be x̅ = 22.2 with SS = 384. 3a. How much difference is there between the mean for the treated sample and the mean for the original population (MUST SHOW WORK FOR THIS PROBLEM)? Note: In a hypothesis test, this value forms the numerator of the t statistic. 3b. If there is no treatment effect, how much difference is expected between the sample mean and its population mean? That is, find the standard error for x̅ (MUST SHOW WORK FOR THIS PROBLEM). Note: In a hypothesis test, this value is the denominator of the t statistic. Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with α = .05. 3c. Which of the following correctly represents the null and alternative hypothesis for the mentioned sample of n =25 (MUST SHOW WORK FOR THIS PROBLEM)? Group of answer choices: a. Ho: µ ≥ 20, H1: µ < 20 b. Ho: µ = 20, H1: µ ≠ 20 c. Ho: µ ≤ 20, H1: µ > 20 d. Ho: µ > 20, H1: µ ≤ 20

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 use the following information to answer questions 3a-3c:

A random sample of n = 25 individuals is selected from a population with µ = 20, and a treatment is administered to each individual in the sample. After treatment, the sample mean is found to be x̅ = 22.2 with SS = 384.

3a. How much difference is there between the mean for the treated sample and the mean for the original population (MUST SHOW WORK FOR THIS PROBLEM)?

Note: In a hypothesis test, this value forms the numerator of the t statistic.

3b. If there is no treatment effect, how much difference is expected between the sample mean and its population mean? That is, find the standard error for x̅ (MUST SHOW WORK FOR THIS PROBLEM).

Note: In a hypothesis test, this value is the denominator of the t statistic.

Based on the sample data, does the treatment have a significant effect? Use a two-tailed test with α = .05.

3c. Which of the following correctly represents the null and alternative hypothesis for the mentioned sample of n =25 (MUST SHOW WORK FOR THIS PROBLEM)?

Group of answer choices:

a. Ho: µ ≥ 20, H_1:µ < 20

b. Ho: µ = 20, H_1:µ ≠ 20

c. Ho: µ ≤ 20, H_1:µ > 20

d. Ho: µ > 20, H_1:µ ≤ 20

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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