Answer: 5.3
Step-by-step explanation: To solve this question, all you need to do is add the numbers together. 1.6+3.7=5.3
Answer:
the answer is5.3
Step-by-step explanation:
3.7+1.6=5.3
we know that
It is much easier to compute the number of numbers that do not contain a .
In the first numbers do not contain a .
In the first numbers do not contain a . (This is because these numbers are formed by selecting a digit out of
for the first position and another digit out of the same set for the last position and this may be done in
In the first numbers, reasoning as above, there are
numbers that do not contain a .
Now the pattern should be becoming obvious.
In the first numbers there are numbers that do not contain a .
So
In the first numbers there are numbers that do not contain a .
Thus
the ratio of those numbers that do contain a 3 over the total is equal to
therefore
the answer is
O {-7, -6, -5, -4}
O {7, 6, 5,4}
O {-7, -6, -5, 3}
Answer:
9
Step-by-step explanation:
h=-3
-3(-3)= 9
Answer:
h(-1)
h= -1
Step-by-step explanation:
Answer:
Step-by-step explanation:
if 8 + 4 = 12
12= 4 + 8
Answer:
1/34
Step-by-step explanation:
To find the probability that a specific number is chosen
P ( number 13) = 1/ total number of balls
= 1 /34
Answer:
1/34
Step-by-step explanation:
There is one 13 ball and there are 34 balls total.
1/34 is the answer. :)
lightbulbs and finds that 180 of them are defective.
Based on these results, what can the store
manager predict about the next delivery of 1,800
light bulbs?
The store manager can predict that there may be approximately 270 defective light bulbs in the next delivery of 1,800 light bulbs.
Based on the given information, we know that 180 out of 1200 light bulbs in the first delivery were defective. We can use this information to estimate the number of defective light bulbs we might expect in the next delivery of 1,800 light bulbs.
To do this, we can use the proportion of defective light bulbs in the first delivery and apply it to the next delivery. The proportion of defective light bulbs in the first delivery is:
180/1200 = 0.15
So, we can expect that approximately 0.15 of the light bulbs in the next delivery will be defective. To find out the actual number of defective bulbs, we can multiply this proportion by the total number of bulbs in the next delivery:
0.15 x 1800 = 270
Therefore, the store manager can predict that there may be approximately 270 defective light bulbs in the next delivery of 1,800 light bulbs. However, this is only an estimate and the actual number of defective bulbs could be higher or lower than this prediction.
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