27. An article in Radio Engineering and Electronic Physics (1980, Vol. 25, pp. 74-79) investigated the behavior of a stochastic generator in the presence of external noise. The number of periods was measured in a sample of 100 trains for each of two different levels of noise voltage, 100 and 150 mV. For 100 mV, the mean number of periods in a train was 7.9 with s1 = 2.6. For 150 mV, the mean was 6.9 with s2 = 2.4.Use α = 0.01 and assume that each population is normally distributed and the two population variances are equal.(a) It was originally suspected that raising noise voltage would reduce mean number of periods. Do the data support this claim?(b) Calculate a confidence interval to answer the question in part (a). (b) Calculate a confidence interval to answer thequestion in part (a).H1 - 42 2 i. Roundyour answer to three decimal places (e.g. 98.765).

Here is given that mean of 1 is 7.9 and second us 6.9. Standard deduction of 1 is 2.6 and second is…

Answered: . An article in Radio Engineering and…

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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27. An article in Radio Engineering and Electronic Physics (1980, Vol. 25, pp. 74-79) investigated the behavior of a stochastic generator in the presence of external noise. The number of periods was measured in a sample of 100 trains for each of two different levels of noise voltage, 100 and 150 mV. For 100 mV, the mean number of periods in a train was 7.9 with s₁ = 2.6. For 150 mV, the mean was 6.9 with s₂ = 2.4.

Use α = 0.01 and assume that each population is normally distributed and the two population variances are equal.

(a) It was originally suspected that raising noise voltage would reduce mean number of periods. Do the data support this claim?

(b) Calculate a confidence interval to answer the question in part (a).

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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