Answer:
And we can find this probability using the complement rule:
And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.
Step-by-step explanation:
Previous concepts
Normal distribution, 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 Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the scores of a population, and for this case we know the distribution for X is given by:
Where
and
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the complement rule:
And in order to find these probabilities we can find tables for the normal standard distribution, excel or a calculator.
16 1/3 is bigger than 1/4
Draw the graph of R = {(1,1), (2,2), (3,3), (4,4), (5,5), (1,4), (2,5), (4,1), (5,2)}
tresset_1 [31]
Answer:
Step-by-step explanation:
Answer:
216:6 ratio
36 rate
Step-by-step explanation:
The sampling error if the grade point averages for 10 randomly selected students from a class of 125 students has a mean of x =2. is A. -0.7.
Given:
Random number=10
mean of x=2
population=125
mean of p=2.7
Using this formula
Sampling error=x− μ
Where:
x= sample mean=2
μ=population mean=2.7
Let plug in the formula
Sampling error=2-2.7
Sampling error=-0.7
Inconclusion the sampling error is A.-0.7.
Learn more here:
brainly.com/question/13929265