Answer:
vas tu trou Vera sure mention la responses correct
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
brainly.com/question/18403552
#SPJ4
Answer:
1. 4, 4, 6, 8
2. 5, 11, 3, 1
3. 11, 27, 111
4. 
5. 
Step-by-step explanation:
For the tables remember that after you solve any negative number will turn positive
For 4-5 just plug in what is in the parenthesis into x and solve
Answer:
Step-by-step explanation:
Let the weight 3 month ago be x.
<u>20% more than x is: </u>
<u>We now have the following equation:</u>
- 1.2x = 36
- x = 36/1.2
- x = 30 pounds
Answer:
63
Step-by-step explanation:
