Answer:
Yes, the manufacturer can estimate the proportion of all customers at this dealership who feel that its service is exceptionally good.
No, the manufacturer cannot estimate, the proportion of customers who rated the service as exceptionally good, about the other dealerships.
Step-by-step explanation:
A sample of 65 customers from a dealership is selected and it is determined that 55% of the customers rated the service as exceptionally good.
According to the central limit theorem if a large random sample selected from an unknown population then the sampling distribution of sample proportion (
) follows a normal distribution.
Then the population proportion can be estimated by the sample proportion value.
That is,
.
Thus, the manufacturer can estimate the proportion of all customers at this dealership who feel that its service is exceptionally good using the sample proportion value of
.
Since the sample is selected from a specific dealership, he cannot estimate, the proportion of customers who rated the service as exceptionally good, about the other dealerships.
Is there any other information for this
Basically what is happening is:
You start out with 15. That 1st week you have 22% more than 15, or in other words 15*1.22. The following week you have 22% more than 22% more of 15, which is 15*1.22*1.22.
Now we can write a function that models this situation:
f(n): number of views
n: number of weeks since you started
f(n) = 15(1.22^n)
We want to find out how many views there are after four weeks, so plug 4 in for n.
f(4) = 15(1.22^4)
f(4) = 33.23
This means after 4 weeks you can expect the video to have 33 views.
I think it’s .22 I’m not sure hope this helps :)
Answer:
The car traveled 232 miles in one hour.
Step-by-step explanation:
<em>232 miles per hour.</em>
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