I think the answer is D. This is because XY doesn't equal JH
Answer:
Zero
Step-by-step explanation:
Given that:
the true mean is 50 and we reject the hypothesis that μ = 50
The probability of the Type II error will be zero, given that we reject the null hypothesis. This has nothing to do with if it is true or false.
Type II error is occurs when you accept a false null hypothesis. The probability of this error is denoted by beta which relies on sample size and population variance.
The probability of rejecting is equal to one minu beta. i.e it is the researchers goal to reject a false null hypothesis.
Answer:
Option C) There are enough evidence that at significance level of 0.05 to support the claim that the the population mean market value of houses in the neighborhood where she works is greater than $250,000.
Step-by-step explanation:
We are given the following in the question:
Population mean, μ = $250,000
Sample mean, 
= $259,860
Sample size, n = 35
Alpha, α = 0.05
Sample standard deviation, σ = $24.922
First, we design the null and the alternate hypothesis
We use One-tailed t test to perform this hypothesis.
Formula:
Since the p-value is less than the significance level, we fail to accept the null hypothesis.
There are enough evidence that at significance level of 0.05 to support the claim that the the population mean market value of houses in the neighborhood where she works is greater than $250,000.
Answer: D
A is just a survey (yes or no answers), B is more of a factual question (not concerning a set or population), and C is the same as B
Answer: When we add or subtract rational numbers that have the same denominator, we add or subtract only the numerators. The denominators stay the same. When we add or subtract rational numbers with unlike denominators, we need to change the rational numbers to equivalent rational numbers that have the same denominators, before we find the sum or difference. Adding & Subtraction Rational Numbers
Step-by-step explanation:
