Answer:
1.) 9.2
2.)
625
633
the dealer
8.81
Step-by-step explanation:
I'm gonna assume that cm= compounded monthly
1.)
effective rate: .153/12= .01275
x= payments
2.)
If there is no interest rate attached to financing through the deal the payment is just
37500/60 = 625
The monthly payment from the bank has a present value of 37500-3000=34500
and the effective rate is .039/12= .00325
Finally, the amount we save is just the difference
633.81-625=8.81
Option A : a+o = 92 , 4a+2o = 284 is the right answer
Step-by-step explanation:
Let o be the number of oranges sold on Friday and
a be the number of apples sold on Friday
So,
A total of 92 was sold on Friday will yield the equation
On Saturday,
4 times the number of apples = 4a
2 times the number of oranges = 2o
So,
Hence,
The system of equations is:
Option A : a+o = 92 , 4a+2o = 284 is the right answer
Keywords: Linear equations, variables
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Answer:
Type I error is to Reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is actually 0.29.
Type II error is Fail to reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is different from 0.29.
Step-by-step explanation:
We are given the following hypothesis below;
Let p = <u><em>proportion of people who write with their left hand</em></u>
So, Null Hypothesis, : p = 0.22 {means that the proportion of people who write with their left hand is equal to 0.22}
Alternate Hypothesis, : p
0.22 {means that the proportion of people who write with their left hand is different from 0.22}
Now, Type I error states that we conclude that the null hypothesis is rejected when in fact the null hypothesis was actually true. Or in other words, it is the probability of rejecting a true hypothesis.
So, in our question; Type I error is to Reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is actually 0.29.
Type II error states that we conclude that the null hypothesis is accepted when in fact the null hypothesis was actually false. Or in other words, it is the probability of accepting a false hypothesis.
So, in our question; Type II error is Fail to reject the claim that the proportion of people who write with their left hand is 0.29 when the proportion is different from 0.29.