Answer:
The 95% confidence interval based on this sample is =
[6.41, 7.79]
Step-by-step explanation:
The formula for Confidence Interval =
Mean ± z × standard deviation/√n
Sample mean = 7.1 hours
Standard deviation = 5 hours
n = 200 students
z = 95% confidence interval z score
= 1.96
C.I = 7.1 ± 1.96 × 5/√200
C.I = 7.1 ± 0.693
Hence, Confidence Interval
= 7.1 - 0.693
= 6.407
Approximately = 6.41
= 7.1 + 0.693
= 7.793
Approximately = 7.79
Therefore, the 95% confidence interval based on this sample is
[6.41, 7.79]
Answer:
Step-by-step explanation:
Given
Let the three sides be a, b and c
Such that:
Required
Find c such that a, b and c do not form a triangle
To do this, we make use of the following triangle inequality theorem
To get a valid triangle, the above inequalities must be true.
To get an invalid triangle, at least one must not be true.
Substitute:
The results of the inequality is: and
Rewrite as: and
This means that, the values of c that make a valid triangle are 1 to 9 (inclusive)
Any value outside this range, cannot form a triangle
So, we can say:
, since no options are given
To find out how much flour is needed,we have to devided the original flour needed by 2
Hence,we get the equation:
thus,he'll need 2 and 3/4 cups of flour.
hope it helps!
<h2>
Answer:CAN YOU PLEASE HELP ME!!????</h2>
Step-by-step explanation:What percent is represented by the diagram below?
Alternative text
A. 13%
B. 65%
C. 130%
<h3>
D. 650%</h3>
Answer:
And we can use the z scoe formula given by:
And if we find the z score for the limits we got:
And this probability is equivalent to:
Step-by-step explanation:
For this case we can define the random variable X as "number of miles between services" and we know the following info given:
The central limit theorem states that "if we have a population with mean μ and standard deviation σ and take sufficiently large random samples from the population with replacement, then the distribution of the sample means will be approximately normally distributed. This will hold true regardless of whether the source population is normal or skewed, provided the sample size is sufficiently large".
From the central limit theorem we know that the distribution for the sample mean is given by:
We select a random sample size of n =44. And we want to find this probability:
And we can use the z scoe formula given by:
And if we find the z score for the limits we got:
And this probability is equivalent to: