please help.The breaking strength X [kg] of a certain type of concrete block is normally distributed with a mean of 28 kg and a standard deviation of 3 kg. What is the maximum load such that we can expect no more than 2 % of the blocks to break?A juice shop owner wishes to find 95% confidence interval of the true mean cost of a pineapple juice. How large should the sample be if he wishes to be accurate to within $0.10? A previous study showed that the standard deviation of the price was $0.21.A medical investigation claims that the average number of infections per week at a hospital is 12.4. A random sample of 12 weeks had a mean number of 13.6 infections. The samplestandard deviation is 1.2. Is there enough evidence to reject the investigator’s claim at @=0.05 ?

Name: please help.The breaking strength X [kg] of a certain type of concrete
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MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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The breaking strength X [kg] of a certain type of concrete block is normally distributed with a mean of 28 kg and a standard deviation of 3 kg. What is the maximum load such that we can expect no more than 2 % of the blocks to break?
A juice shop owner wishes to find 95% confidence interval of the true mean cost of a pineapple juice. How large should the sample be if he wishes to be accurate to within $0.10? A previous study showed that the standard deviation of the price was $0.21.
A medical investigation claims that the average number of infections per week at a hospital is 12.4. A random sample of 12 weeks had a mean number of 13.6 infections. The sample
standard deviation is 1.2. Is there enough evidence to reject the investigator’s claim at @=0.05 ?

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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