If the sample size is n=40 ,mean of 20 and a standard deviation then the sampling distribution is normally distributed.
Given sample size is 40, sample mean is 20, sample standard deviation is 5.
We have to find whether the distribution is normally distributed or not.
Normal distribution is an arrangement of a data set in which most values cluster in the middle of the range and the rest taper off simultaneously towards either extreme. It may be one tailed or two tailed also.
Yes the given distribution whose sample size is 40, sample mean of 20 and sample standard deviation of 5 is normally distributed as the sample size is greater than 30.
Signs of normal distribution are:
- Symmetric bell shape
- mean and median are equal both located at the center of the distribution
- 68% approximately equals 68% falls within 1 standard deviation of the mean.
Hence the sampling distribution is normally distributed.
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Step-by-step explanation:
2
57
65
566
77788
66777
66788
67899
6789
78899
789999
88889
8888888
788889
888888999999999
The commutative property is a math rule that says that the order in which w multiply numbers does not change the product
8*2=16 or 2*8=16
So,2*8=8*2
Step-by-step explanation:
x1 = -5, x2 =3 , y1 = -4 , y2=1
- formula = square foot of (x2 -x1)^2 + (y2 -y1)^2
- sqare root of (3 +5)^2 + (1 +4)^2
- square root of (8)^2 + (5)^2
- square root of 64 + 25
- square root of 89
- = 9.43
9a-ab+5b
9(2)-(2)(7)+5(7)
18-14+35
39
