I have the question shown in the screenshot
1 answer:
You might be interested in
Answer:
C) more than the absolute value of the critical value, we can conclude that the average monthly rate for an assisted-living facility is not equal to $3,300.
Step-by-step explanation:
Hello!
Interest hypothesizes is " the average monthly rate for one-bedroom assisted-living facility is equal to $3300" symbolically: μ = 3300
The study variable is:
X: Monthly rate for a one-bedroom assisted-living facility.
Since there is no information about the distribution of the variable, to be able to study the population mean, I'll assume that the variable has a normal distribution.
The hypothesis is:
H₀: μ = 3300
H₁: μ ≠ 3300
α: 0.05
The statistic to use, considering that there is no known population information and the sample size, is a Student t:
t= <u> X[bar] - μ </u> ~
S/√n
n= 12
X[bar]= $3690
S= $530
Using the sample data, calculate the statistic value:
t= <u> 3690 - 3300 </u> = 2.549
530/√12
The rejection region for this test is two-tailed, with critical values:
The decision rule is:
Reject the null hypothesis if t ≤ -2.201 or if t ≥ 2.201
Not reject the null hypothesis if -2.201 < t < 2.201
Since the calculated value (2.549) is greater than the right critical value (2.201) the decision is to reject the null hypothesis.
With a signification level of 5%, there is enough evidence to reject the null hypothesis. This means that the population mean of the monthly rate for a one-bedroom assisted living facility is different from $3300.
I hope it helps!