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:

Step-by-step explanation:


Convert the mixed number to an improper fraction

Invert the denominator and change division to multiplication

Cancel the 2s

Multiply numerators and denominators.

Convert the improper fraction to a mixed number.

It takes
stones to complete the path.
Answer:
Final Temperature of the gas = 416K
Step-by-step explanation:
Using the Charles Law;
V₁/T₁ = V₂/T₂
V₁ = 0.61m³, V₂=3.9m³, T₁= 65K, T₂ = ?
T₂ = V₂T₁/V₁ = (3.9 x 65)/0.61 = 415.57377K ≅ 416K
Answer: B: the force on the car is greater than the force on the bug
Step-by-step explanation:
The force on the car is greater because it is travelling at a faster speed.