The probability that the hypothesis test will result in a type ii error, β is 0.20.
In this question,
A type II error is one of two types of statistical errors that can result from a hypothesis test (the other being a type I error). A type II error will occur if the statistical test is not powerful enough. And it occurs when one rejects the alternative hypothesis (fails to reject the null hypothesis) when the alternative hypothesis is true.
The probability of a type II error is denoted by *beta*, β.
Power of a test = 0.80
The relation between power of a test and type II error is given as,
Power = 1 - type II error
⇒ Type II error, β = 1 - 0.80
⇒ Type II error, β = 0.20
Hence we can conclude that the probability that the hypothesis test will result in a type ii error, β is 0.20.
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Answer:
x^ ( 6/35)
Step-by-step explanation:
x ^ 2/5 ^ 3/7
We know that a^ b^ c = a^ ( b*c)
x ^ ( 2/5 * 3/7)
x^ ( 6/35)
Answer:
Hannah's line should start at 220 and Brandon's at 340 and should go down each hour by 30 and 50 respectively.
