Create a proportion: 8000/4 = 7000/x
8000x = 28000
then divide
8000x/8000 = 28000/8000
that equals x = 3.5 tons
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Create a proportion 8000/4 = 7000/x
then simplify to 2000/1 = 7000/x
7000 = 2000x
then divide
7000/2000 = 2000x/2000
3.5 tons = x
a merchant is bagging potatoes that he will sell for $5 a bag. he wants to take in at least $400 for them. how many bags should he prepare?
Thanks
Answer:he should prepare 80
Step-by-step explanation:
Divide 400/5
Sequence B: -21,63,-189,567,...
Sequence C: 8,12,18,27,....
Order the sequences from least common ratio to the greatest common ratio.
Answer:
Sequence B, Sequence A, Sequence C
Step-by-step explanation:
Common ratio of a geometric sequence is the ratio of a term and its previous term of the sequence.
Thus, the common ratio of the sequence A: 160,40,10,2.5,...
The common ratio of the sequence B: -21,63,-189,567,...
The common ratio of the sequence C : 8,12,18,27,....
Since, -3 < <
Thus,
Hence, the order the sequences from least common ratio to the greatest common ratio is,
Sequence B, Sequence A, Sequence C
Answer:
A C B
Step-by-step explanation:
In sequence A. the numbers are being divided by 4.
In sequence B. the numbers are being multiplied by -3
In sequence C. the numbers are being add by 4
So the ratio from least to greatest would be A C B
20 × 6
B.
20 × 5
C.
5 × 6
D.
6 × 6
Based on the number of customers from last week, the fraction is closest to the probability that the next customer will pay with cash is 54/249
Suppose population is wide and you cannot evaluate all the population at once. Then you do sampling of large enough size randomly. The mean of that sample will be then the estimate for the mean that population will pertain.
Experimental probability calculates the probability of some event from the results of experiments.
For an event E, we get the experimental probability of that event
where, is denoting experimental probability of occurrence of E.
Here, the customers are not all known to us, they are population.
But we have some data of the previous customer. Taking them as the sample, we have:
Experimental probability of an event from sample = Predicted probability for that event in population.
For this case, from the previous data, we have:
Total customers who paid = 153 + 42 + 54 = 249
Total customers who paid with cash = 54
Thus, if we take:
E = event that a customer pays with cash, then:
This is the probability deduced from the previous data that the next customer will pay with cash.
Thus, based on the number of customers from last week, the fraction is closest to the probability that the next customer will pay with cash is 54/249
Learn more about probability here: