Answer:
52%
Step-by-step explanation:
13/25
13 ÷ 25
0.52
0.52 × 100/100
0.52 × 100%
(0.52 × 100)%
52%
95 divided by 5 is 19. You can count by fives until you get to 95.
A normal distribution is a type of continuous probability distribution for a real-valued random variable in statistics.
Yes, the large-sample confidence interval will be valid.
<h3>What is meant by normal distribution?</h3>
A normal distribution is a type of continuous probability distribution for a real-valued random variable in statistics.
The normal distribution, also known as the Gaussian distribution, is a symmetric probability distribution about the mean, indicating that data near the mean occur more frequently than data far from the mean.
The confidence interval will be valid regardless of the shape of the population distribution as long as the sample is large enough to satisfy the central limit theorem.
<h3>
What does a large sample confidence interval for a population mean?</h3>
A sample is considered large when n ≥ 30.
By 'valid', it means that the confidence interval procedure has a 95% chance of producing an interval that contains the population parameter.
To learn more about normal distribution, refer to:
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Answer:
Step-by-step explanation:
Probability (P) is calculated as
P = 
The first required outcome is a red sweet from a total of 3 + 5 = 8
P( red) = 
There are now 2 red left and a count of 7, since 1 has been eaten, thus
P( second red ) = 
P( red and red ) = × = 
=
The formula used to find the length of a line segment is the same formula as the Pythagoras theorem.
We take CD as the hypotenuse of the right-angled triangle and the distance between the x-coordinates and y-coordinates as the length of two short sides.
We can write the formula as
CD =
CD =
