b) -7
c) 2
d) 7
Answer:
then what?
Step-by-step explanation:
Answer:
The women's department of a store stocks have more types of white socks.
Step-by-step explanation:
Given:
The women's department of a store stocks 4 types of black socks for every 5 types of white socks.
Ratio of black socks to white socks = 4 : 5
The men's department stocks 6 types of black socks for every 7 types of white socks.
Ratio of black socks to white socks = 6 : 7
Each department has the same number of black socks.
Question asked:
Which department stocks more types of white socks?
Solution:
Let each department has 100 black socks.
For women's department
4 : 5 : : 100 : white socks
For men's department
6 : 7 : : 100 : white socks
We found that out of 100 black socks the women's department of a store stocks have 125 white socks while the men's department stocks have about 117 white socks then by default understood that the women's department of a store stocks have more types of white socks.
Answer:
The women have more
Step-by-step explanation:
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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