Yes, the sampling distribution is normally distributed because the population is normally distributed.
A sampling distribution is a chance distribution of a statistic obtained from a larger variety of samples drawn from a specific populace. The sampling distribution of a given population is the distribution of frequencies of a variety of various outcomes that would probable occur for a statistic of a populace.
A sampling distribution is a probability distribution of a statistic this is obtained via drawing a huge variety of samples from a particular populace. Researchers use sampling distributions so that you can simplify the technique of statistical inference.
Solution :
mean = μ40
standard deviation σ σ= 3
n = 10
μx = 40
σ x = σ√n = 3/√10 = 0.9487
μ x = 4σ\x = 0.9487
σx = 0.9487
Yes, the sampling distribution is normally distributed because the population is normally distributed.
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Answer:
cos r/q is the answer,
Step-by-step explanation:
this can be seen when you elaborate sin=opposite/hypotenus and tan=opposite/adjacent by referring to the right angle triangle .
then, apply values of adjacent dan hypotenuse to cos
Answer:
what is your favorite color
which subject do the students in my class like
what is the height of each student in my class
Step-by-step explanation:
Answer:
Option (1)
Step-by-step explanation:
Length of a rectangle = (5.9d + 8.3f) cm
Width of the rectangle = (7.3d + 2.2f) cm
Since formula to get he perimeter of a rectangle is,
Perimeter = 2(length + width)
= 2[(7.3d + 2.2f) + (5.9d + 8.3f)]
= 2(13.2d + 10.5f)
= (26.4d + 21f) cm
Therefore, Option (1) will be the correct option.
