In this problem, we have to find the factor which will
make (1 / 10) equal to (2 / 5). Therefore we can write it as:
x (1 / 10) = 2 / 5
where x is the number of people who ate the blueberries
x = (2 / 5) / (1 / 10)
x = 4
<span>Therefore 4 people ate the blueberries.</span>
Answer:
96 trays
Step-by-step explanation:
762 shells divided into 8 shells in each tray equals 95.25 but you cant have 95.25 trays so it'd be 96.
Answer:
G. 32
Step-by-step explanation:
32 x 335 = 10720
16,100 - 10720 = 5380/190 = 28.3157894737
275 x 32 = 8800
18,800 - 8800 = 10,000/400 = 25 (This is the closer).
30 x 335 = 10,050
16,100 - 10,050 = 6050/190 = 31.8421052632
30 x 275 = 8250
18,800 - 8250 = 10550/400 = 26.375 (Same reason why it does't work)
25 x 335 = 8375
16,100 - 8375 = 7725/190 = 40.6578947368
25 x 275 = 6875
18,800 - 6875 = 11925/400 = 29.8125
24 x 335 = 8040
16,100 - 8040 = 8060/190 = 42.4210526316
24 x 275 = 6600
18,800 - 6600 = 12200/400 = 30.5
answer.
Answer:
x=2 and y=0 is the required result.
Step-by-step explanation:
We have been given system of equations:
5x+2y=105x+2y=10 (1)
And 3x+2y=63x+2y=6 (2)
We will use elimination method:
Multiply 1st equation by 3 and 2nd equation by 5 we get:
15x+6y=3015x+6y=30 (3)
15x+10y=3015x+10y=30 (4)
Now subtract (4) from (3) we get:
-4y=0−4y=0
y=0y=0
Now, put y=0 in (1) equation:
5x+2(0)=105x+2(0)=10
5x=105x=10
x=2x=2
Hence, x=2 and y=0
When n is small (less than 30), how does the shape of the t distribution compare to the normal distribution then"it is flatter and wider than the normal distribution."
<h3>What is normal distribution?</h3>
The normal distribution explains a symmetrical plot of data around the mean value, with the standard deviation defining the width of the curve. It is represented graphically as "bell curve."
Some key features regarding the normal distribution are-
- The normal distribution is officially known as the Gaussian distribution, but the term "normal" was coined after scientific publications in the nineteenth century demonstrated that many natural events emerged to "deviate normally" from the mean.
- The naturalist Sir Francis Galton popularized the concept of "normal variability" as the "normal curve" in his 1889 work, Natural Inheritance.
- Even though the normal distribution is a crucial statistical concept, the applications in finance are limited because financial phenomena, such as expected stock-market returns, do not fit neatly within a normal distribution.
- In fact, prices generally follow a right-skewed log-normal distribution with fatter tails.
As a result, relying as well heavily on the a bell curve when forecasting these events can yield unreliable results.
To know more about the normal distribution, here
brainly.com/question/23418254
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