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
Step-by-step explanation:
Area of a circle = #r^2
1256 = 3.14 × r^2
r^2 = 1256/3.14
r^2 = 400
Square root of r = 20
Diameter = 2 × r = 2 × 20 = 40 inches
The distribution is uniform for 50 ≤ x ≤ 52.
where x = minutes per class.
The probability P(x < 50.6) is the shaded portion of the distribution.
Its value is
(50.6 - 50)/(52 - 50) = 0.3
Answer:
The probability is 0.3 or 30%
Answer:
0.000093
Step-by-step explanation:
To simplify by distribution we proceed as follows;
7a(3b-2c+4)
=7a*3b-2c*7a+4*7a
=21ab-14cb+28a
the answer is:
21ab-14cb+28a