Answer:
He could increase the sample size
Step-by-step explanation:
In hypothesis testing, the error associated with the test is affected by a number of factors. The first factor is the level of significance, alpha. This is the probability of type 1 error. The probability of rejecting the null hypothesis when it is indeed true.
The second factor is the size of the sample used. The larger the sample, the smaller the error since the characteristics of the sample will be closer to those of the entire population on which inference is being made
I hope this helps you
x^2-5x-6
x -6
x +1
(x-6)(x+1)
x^2+5x-6
x +6
x -1
(x+6)(x-1)
Answer:
false, false
Step-by-step explanation:
C' is (5, 4)
A' is (5, -4)
Each side of the triangle is larger in the image, and the area is larger.
Answer: false, false
Answer:
CI = (98.11 , 98.49)
The value of 98.6°F suggests that this is significantly higher
Step-by-step explanation:
Data provided in the question:
sample size, n = 103
Mean temperature, μ = 98.3
°
Standard deviation, σ = 0.73
Degrees of freedom, df = n - 1 = 102
Now,
For Confidence level of 99%, and df = 102, the t-value = 2.62 [from the standard t table]
Therefore,
CI =
Thus,
Lower limit of CI =
or
Lower limit of CI =
or
Lower limit of CI = 98.11
and,
Upper limit of CI =
or
Upper limit of CI =
or
Upper limit of CI = 98.49
Hence,
CI = (98.11 , 98.49)
The value of 98.6°F suggests that this is significantly higher and the mean temperature could very possibly be 98.6°F
The path of the given Hamiltonian diagram is A, E, B, C, D, F. See explanation below.
<h3>What is a Hamiltonian Path?</h3>
A Hamiltonian path, also known as a traceable path, is one that visits each vertex of the graph precisely once.
A traceable graph is one that contains a Hamiltonian path.
Hence, the path is given as;
A, E, B, C, D, F
Learn more about Hamiltonian Paths at;
brainly.com/question/15521630
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