To find out whether a new serum will arrest leukernia, 9 mice, all with an advanced stage of the disease, are selected. Five mice receive the treatment and 4 do not. Survival times, in years, from the time the experiment commenced are as follows: Treatment 2.1// 5.3// 1.4 //4.6// 0.9No Treatment 1.9// 0.5/1 2.8// 3.1 At the 0.05 level of significance, determine t table.Determine the pooled standard deviationDetermine the t calculated in two decimal places.can the serum be said to be effective? Assume the two populations to be normally distributed with equal variances.

Given that Treatment 2.1, 5.3, 1.4, 4.6, 0.9 No Treatment 1.9, 0.5, 12.8, 3.1 We have to find:…

Answered: To find out whether a new serum will…

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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To find out whether a new serum will arrest leukernia, 9 mice, all with an advanced stage of the disease, are selected. Five mice receive the treatment and 4 do not. Survival times, in years, from the time the experiment commenced are as follows:

Treatment 2.1// 5.3// 1.4 //4.6// 0.9

No Treatment 1.9// 0.5/1 2.8// 3.1

At the 0.05 level of significance, determine t table.
Determine the pooled standard deviation
Determine the t calculated in two decimal places.
can the serum be said to be effective? Assume the two populations to be normally distributed with equal variances.

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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