Answer the following 3 question(s) using the information from the scenario below.
1 answer:
Answer:
Answer 1: a. Moonlight: C=75n+1000
Riverside: C=50n+1500
Answer 2: c. The solution coordinates are c. (20, 2500)
Answer 3: c. When there are 20 guests attending the price is $2500.
Step-by-step explanation:
Moonlight Hall:
Fixed cost = $1000
Cost per guest = $75
Cost of <em>'n' </em>guests = 75
Total cost of moonlight hall = Fixed cost + Cost of 'n' guests
Riverside Hall:
Fixed cost = $1500
Cost per guest = $50
Cost of <em>'n' </em>guests = 50
Total cost of moonlight hall = Fixed cost + Cost of 'n' guests
Hence, Answer 1:
a. Moonlight: C=75n+1000
Riverside: C=50n+1500
Answer 2: Coordinates of solution:
Option c. (20,2500) satisfies both the equation.
When there are 20 number of guests, the cost of both moonlight and riverside hall comes out to be 2500.
Moonlight Hall cost
Riverside Hall cost
Answer 3: c. When there are 20 guests attending the price is $2500.
The solution is done in Answer 2.
So,
Answer 1: a. Moonlight: C=75n+1000
Riverside: C=50n+1500
Answer 2: c. The solution coordinates are c. (20, 2500)
Answer 3: c. When there are 20 guests attending the price is $2500.
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Answer:
Now we can calculate the p value based on the alternative hypothesis with this probability:
The p value is very low compared to the significance level of then we can reject the null hypothesis and we can conclude that the true proportion of people liberal is higher than 0.24
Step-by-step explanation:
Information given
n=200 represent the random sample taken
X=75 represent the number of people Liberal
estimated proportion of people liberal
is the value that we want to test
z would represent the statistic
represent the p value
Hypothesis to test
We want to verify if the true proportion of adults liberal is higher than 0.24:
Null hypothesis:
Alternative hypothesis:
The statistic is given by:
(1)
Replacing the info given we got:
Now we can calculate the p value based on the alternative hypothesis with this probability:
The p value is very low compared to the significance level of then we can reject the null hypothesis and we can conclude that the true proportion of people liberal is higher than 0.24
The answer is given below:
