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sukhopar [10]
3 years ago
12

Four friends ate brunch together. They each paid the same amount.

Mathematics
1 answer:
Scilla [17]3 years ago
5 0

sorry testing if my brainy works it hasn't been working right lately

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in 1950, the population of a city was about 800,000 people. over the next 50 years , the population increased to 1.3 million. fi
nordsb [41]
Subtract 1.3 million from 800,000 and you get ur answer
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Which combination could represent Matthew's bag of Skittles? Question 5 options: 15 green & 13 yellow 15 green & 23 yell
amm1812
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7 0
3 years ago
it is 24.8 km to drive from Cortland to marathon each school day how many meter does she travel from Cortland to marathon​
Bezzdna [24]

Answer:

24,800 meters

Step-by-step explanation:

We basically have to convert km to m, or kilometers to meters. For this we need the conversion factor:

1000 meters = 1 kilometers

So change from kilometers to meters, we simply need to multiply by 1000. Thus, we would have:

24.8 km * 1000 = 24,800 meters

Thus,

24.8 km = 24,800 m

5 0
3 years ago
Answer and show me how you do it please.
Virty [35]
The answer is the first one, impossible. This is because it shows that there are red and black cards, but never mentions that there are blue cards at all. This also means there are no blue cards. How could you get a blue card when there are none? It's impossible. 
8 0
3 years ago
Read 2 more answers
The city of Madison regularly checks the quality of water at swimming beaches located on area lakes. Fifteen times the concentra
Maksim231197 [3]

Answer:

The sample standard deviation is 393.99

Step-by-step explanation:

The standard deviation of a sample can be calculated using the following formula:

s=\sqrt[ ]{\frac{1}{N-1} \sum_{i=1}^{N}(x_{i}-{\displaystyle \textstyle {\bar {x}}}) ^{2} }

Where:

s= Sample standart deviation

N= Number of observations in the sample

{\displaystyle \textstyle {\bar {x}}}= Mean value of the sample

and \sum_{i=1}^{N}(x_{i}-{\displaystyle \textstyle {\bar {x}}}) ^{2} } simbolizes the addition of the square of the difference between each observation and the mean value of the sample.

Let's start calculating the mean value:

\bar {x}=\frac{1}{N}  \sum_{i=1}^{N}x_{i}

\bar {x}=\frac{1}{15}*(180+1600+90+140+50+260+400+90+380+110+10+60+20+340+80)

\bar {x}=\frac{1}{15}*(3810)

\bar {x}=254

Now, let's calculate the summation:

\sum_{i=1}^{N}(x_{i}-\bar {x}) ^{2} }=(180-254)^2+(1600-254)^2+(90-254)^2+...+(80-254)^2

\sum_{i=1}^{N}(x_{i}-\bar {x}) ^{2} }=2173160

So, now we can calculate the standart deviation:

s=\sqrt[ ]{\frac{1}{N-1} \sum_{i=1}^{N}(x_{i}-{\displaystyle \textstyle {\bar {x}}}) ^{2} }

s=\sqrt[ ]{\frac{1}{15-1}*(2173160)}

s=\sqrt[ ]{\frac{2173160}{14}}

s=393.99

The sample standard deviation is 393.99

3 0
4 years ago
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