Answer:
the probability of a Type I error is 0.10
Step-by-step explanation:
Given the data in the question;
significance level ∝ = 0.10
Null H₀ hypothesis is true;
the probability of a Type I error = ?
we know that; a type 1 error is the error of rejecting a Null hypothesis when in reality, it is true. That is false positive.
Hence, our type 1 error will be;
P(rejecting null | null true ) = significance level ∝ = 0.10
Therefore, the probability of a Type I error is 0.10
Answer:
First multiply 30 by 3 = 90 then subtract 90 from 156 to get 66
Step-by-step explanation:
66 would be your thirtieth term.
Answer:
See below.
Step-by-step explanation:
(t-4)-8
Remove parenthesis.
t-4-8
Combine like terms.
t-12
-hope it helps
Answer:
Dispersion
Step-by-step explanation:
Given a set of scores {a1, a2, ..., an} ordered in value, the range can be described as the difference between the highest and the lowest value. We can write it as:
range = an - a1
Thus, the range provides information about the dispersion of our set of values. A high range means that the highest and the lowest value are highly separated, on the other hand, a low range mean that there is a little difference between those values.
This is usually used to measure dispersion on a set of values, together with standard deviation and interquantile range. However, we cannot maintain that one is better than the others.
boy or an A student is
29 made an A + 8 boys who did not make an A
37 who made an A and/or who is a boy
37/50
