Answer:
5
Step-by-step explanation:
The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean 
and standard deviation 
, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean and standard deviation 
.
For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.
In this problem, we have that:
On average, how much error would be expected between the sample mean and the population mean?
This is the standard deviation of the sample. We have that 
. So
The answer is 5.
-10.6, and 9/10, are the constants
You need to replace x with 5 so it will be…
[3(5) + 4] - (2 - 5)
(15 + 4) - (-3)
19 + 3
22
The equation that can be used to determine the cost of a cab ride is cost = $3 + ($1.50 x miles driven).
The flat rate of the cab ride is $3.
The cost of travelling 7 miles is $13.50.
The total amount that would be spent on the cab ride is a function of the price per mile, the total miles driven and the flat rate.
Total cost = variable rate + flat rate
variable rate = cost per mile x total miles driven
15 x $1.50 = $22.50
Flat rate = total cost - variable rate
$25.50 - $22,50 = $3
The equation to determine the total cost of a cab ride: $3 + $1.50m
Where m is the miles driven.
The cost of travelling 7 miles : 3 + (1.5 x 7) = $13.50
A similar question was answered here: brainly.com/question/22844904?referrer=searchResults
Answer:
it is not necessary to confirm that the sample data appear to be from a population with a normal distribution;
D. Because the sample size of 50 is greater than 30, it can be assumed that the sample mean is from a population with a normal distribution
Step-by-step explanation:
Normal distribution which is otherwise known as the Gaussian distribution, it is a probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean.
The arithmetic mean or average; is the sum of a collection of numbers divided by the total numbers in the collection.
