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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
Find the middle term of the AP 1, 8, 15....505. A ns: Middle terms a + (n-1)d = 505 a + (n-1)7 = 505 n - 1 = 504/7 n = 73 ∴ 37th term is middle term a 37
Simplify the Boolean function: F (w,x,y,z) = ∑ (0, 1, 2, 3, 4, 6, 8, 9, 12, 13, 14) (8) Ans: f(w, x, y, z) = ∑(0, 1, 2, 3, 4, 6, 8, 9, 12, 13, 14) The above
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y(x) = x -3/2 is a solution to 4x 2 y′′ + 12xy′ + 3y = 0 , y (4) = 1/8 , and y'(4) = -3/64 Solution : As we noticed in previous illustration the function is a solution an
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prove that - there is one and only one circle passing through three non - collinear points
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A computer is programmed to scan the digits of the counting numbers.For example,if it scans 1 2 3 4 5 6 7 8 9 10 11 12 13 then it has scanned 17 digits all together. If the comput
Testing the hypothesis equality of two variances The test for equality of two population variances is based upon the variances in two independently chosen random samples drawn
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