Janice’s twin sister, Janette, is also working to save money over the summer. She is in college and needs $1,000 for her books f
1 answer:
You might be interested in
Hi there! The answer is 72 guests.
To find our answer we need to set up and solve an equation. Let the total number of guests be represented by g. The cost per guest is $13.50
Therefore the cost for all of the guests will be $13.50 × g.
To find the total cost we need to add the additional fee of $540 to cover linens and tableware.
Now we've found our equation.
Subtract 540.
Divide by 13.5
Therefore, there are 72 guests. The answer is 72.
~ Hope this helps you!
To find our answer we need to set up and solve an equation. Let the total number of guests be represented by g. The cost per guest is $13.50
Therefore the cost for all of the guests will be $13.50 × g.
To find the total cost we need to add the additional fee of $540 to cover linens and tableware.
Now we've found our equation.
Subtract 540.
Divide by 13.5
Therefore, there are 72 guests. The answer is 72.
~ Hope this helps you!
Look at the picture..............
Answer:
When we compare the significance level we see that
so we can reject the null hypothesis at 10% of significance. So the the true mean is difference from 21 at this significance level.
Step-by-step explanation:
Data given and notation
represent the sample mean
represent the population standard deviation
sample size
represent the value that we want to test
represent the significance level for the hypothesis test.
z would represent the statistic (variable of interest)
represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to check if the average age of the evening students is significantly different from 21, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
The statistic is given by:
(1)
Calculate the statistic
We can replace in formula (1) the info given like this:
P-value
Since is a two sided test the p value would be:
Conclusion
When we compare the significance level we see that
so we can reject the null hypothesis at 10% of significance. So the the true mean is difference from 21 at this significance level.