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EastWind [94]
3 years ago
13

Help me plzzzzzzzzzzz

Mathematics
1 answer:
sammy [17]3 years ago
7 0
I think the answer is 5
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Snappys, Inc. is a company that produces digital cameras. They are planning to release a new line of camera.
Vaselesa [24]

Answer:

1334

Step-by-step explanation:

$250-$100 = $150

$200,000/ $150

1333.333

Round up

1334

5 0
3 years ago
10 Points + BRANIEST
S_A_V [24]

Answer:

Step-by-step explanation:

So, we’re probably looking at a n9-m0 cusp, since adding 0 to a number gives a sum lower than adding 9 to a slightly smaller number, something that isn’t true elsewhere in the cycle.

We need a n9 where the sum n+9 is divisible by 3. 9 is divisible by 3 already, so n must be divisible by 3 as well. So, it’s 0, 3, 6, or 9.

Taking as the most likely 3 (because a 39 year old is more likely than a 9 year old, 69 year old, or 99 year old to have a child who doesn’t already know their father’s age) we’ll try 39, 40. 3+9=12, 4+0=4, 12/3=4, this is a possible solution.

     

Do the others work?

0+9=9, 1+0=1, 9/4=/=1

6+9=15, 7+0=7, 15/4=/=7

9+9=18, 1+0+0=1, 18/4=/=1

1+2+9=12, 1+3+0=4, 12/3=4

there are at least two possibles. the father was correct, the father cannot determine his age from what she has been told, she must guess. From what she knows of him, is it more likely that he’s 39, or 129, or even older?

7 0
2 years ago
Anyone know how to figure this out. I need the answer by 7:30 tonight.
Sholpan [36]
You would need a more detailed picture
3 0
4 years ago
Find the inverse. Restrict the domain as necessary.
trasher [3.6K]
The restrictions would be possible x values that could make the function equal 0.
6 0
3 years ago
Read 2 more answers
The probability distribution for the number of defects in a shipment of alarm clocks, based on past data, is given below. Find t
Kay [80]

Answer:

0.29

Step-by-step explanation:

Given :

n : ___ 0 _____ 1 ____ 2 ____ 3 ____ 4

P(n) : 0.82___ 0.11 ___0.04 _0.02 ___0.01

The expected number of defect in a shipment can be obtained using the expected value formula :

Expected value, E(X) = Σx*p(x)

Σx*p(x) = (0*0.82) + (1*0.11) + (2*0.04) + (3*0.02) + (4*0.01)

E(X) = 0.29

Hence, the expected number of defect in shipment is 0.29

3 0
3 years ago
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