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Levels of significance
A level of significance is a probability value which is utilized when conducting tests of hypothesis. A level of significance is mostly the probability of one making an incorrect decision after the statistical testing has been done. Generally such probability utilized is extremely small for illustration, 1 percent or 5 percent
NB: If the standardized value of the mean is less than -1.65 we reject/refuse the null hypothesis (H0) and accept the alternative Hypothesis (H1) however if the standardized value of the mean is more than -1.65 we accept/allow the null hypothesis and reject/refuse the alternative hypothesis.
The above drawing of graph and level of significance are applicable while the sample mean is < or like that is less than the population mean,The given is utilized when sample mean > population mean
NB: If the samples mean standardized value < 1.65, we accept the null hypothesis however reject the alternative. If the sample means value > 1.65 we reject/refuse the null hypothesis and accept the alternative hypothesis .The above drawing is normally utilized when the sample mean described is greater than the population mean
NB: if the standardized value of the sample mean is with -2.58 and +2.58 accept the null hypothesis otherwise reject it and then accept the alternative hypothesis
#questionQn 1- An analysis of monthly wages of workers of two organizations Alia LLC and Asila LLC yielded the following results. Alia LLC Asila LLC Average monthly wages 60
5.6:4=x:140
The tenth term in the binomial expansion of (1-1/4)(1-1/5)(1-1/6)...(1-1/n+3) is equal to
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It’s been a busy weekend for Larry. Five people in his neighborhood left on vacation Saturday morning and each of them left a pet for Larry to care for until they return. It’s a go
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Let u = sin(x). Then du = cos(x) dx. So you can now antidifferentiate e^u du. This is e^u + C = e^sin(x) + C. Then substitute your range 0 to pi. e^sin (pi)-e^sin(0) =0-0 =0
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