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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The perimeter is 10 try to draw these points on the graph and count the distance between each or you can just look at the coordinates and find the distance and then add length and width
Answer:
if x=0 then they have same value
1 and 2 options are out
for x=-1
g(-1)=1
h(-1)=-1
3 is true
4th
FALSE
for all values except 0, g(x)>h(x)
correct ones are
g(x) > h(x) for x = -1.
For positive values of x, g(x) > h(x).
For negative values of x, g(x) > h(x).
Step-by-step explanation:
Answer:
A)
Step-by-step explanation:
1) Plug 2 sets of points into slope formula to find the slope:
2) Write the slope as a decimal:
3) Plug the slope and two points into point slope form:
4) Distribute 1.3 to x and 0:
5) Add 10 to both sides:
Answer:
f(5) = -11
Step-by-step explanation:
f(5) = (-3(5) - 6) + 10
f(5) = -21 + 10
f(5) = -11