The shape of the population can be disregarded when working with sampling distribution of sample mean.
The correct option is Option D)
What is central limit theorem?
The central limit theorem in probability theory proves that, even if independent random variables are not normally distributed in themselves, in many cases, when they are added together, their correctly normalized sum tends toward a normal distribution.
As in the central limit theorem mean and standard deviation is given but there is not mention of shape of the distribution.
Hence shape of the distribution is not taken into considerations.
Therefore, The shape of the population can be disregarded when working with sampling distribution of sample mean.
The correct option is Option D)
To lean more about central limit theorem please refer the following link
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Answer:
4
Step-by-step explanation:
A rhombus has four equal sides but of varying angles. A rhombus has two lines of symmetry (vertical and horizontal), an order of two, and the angle of rotation of 180 degrees.
Answer:
b. 156
Step-by-step explanation:
180 - 29 = 151
x-5=151
x=151+5
Answer:
Theoretical probability is the likeliness of an event based on all possible outcomes. Theoretically, a coin should land on heads 50 times, and tails 50 times, if you were to flip it 100 times.
Flipping it 60 times would mean theoretical probability would be it landing heads up 30 times, and tails up 30 times.
This actually happening is unlikely though, which is why we also have emperical probability.
Answer:
No the relationship between these two numbers is not proportional. I know this because for the first option each sub would be delivered at about $6.66 so if were to be proportional when four subs were delivered instead of it being $26 it would be $26.66.
