During the pandemic period, it is claimed that the average of transmitting the virus to others in the case of a person who lives in Europe and is a carrier of Covid-19 virus, in case he does not comply with the social isolation rule, and the average of transmitting the virus to others from the same situation living in America is different from each other. In order to test this claim, 13 of the carriers living in Europe, randomly selected, have an average of 29 and a standard deviation of 13. Similarly, the average transmitting the virus was 33 and the standard deviation was 17 for 17 random carriers living in the United States who did not comply with the social isolation rule. Since it is known that the variances of all people living in Europe and America with the disease are heterogeneous, test the claim at the 13% significance level, interpret the decision you made as a result of the test. While testing the hypothesis test, apply the 4 steps and show them separately
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
During the pandemic period, it is claimed that the average of transmitting the virus to others in the case of a person who lives in Europe and is a carrier of Covid-19 virus, in case he does not comply with the social isolation rule, and the average of transmitting the virus to others from the same situation living in America is different from each other. In order to test this claim, 13 of the carriers living in Europe, randomly selected, have an average of 29 and a standard deviation of 13. Similarly, the average transmitting the virus was 33 and the standard deviation was 17 for 17 random carriers living in the United States who did not comply with the social isolation rule. Since it is known that the variances of all people living in Europe and America with the disease are heterogeneous, test the claim at the 13% significance level, interpret the decision you made as a result of the test. While testing the hypothesis test, apply the 4 steps and show them separately.
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