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Vedmedyk [2.9K]
2 years ago
6

I nene help with this please. It a quiz

Mathematics
1 answer:
Vladimir [108]2 years ago
8 0
58 if you add the two numbers then subtract the answer from 180 that’s the answer
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In general, the intercept of the function F(X) = a•b^x is the point
Murljashka [212]

Answer:

(0,a)

Step-by-step explanation:

Given

f(x) = ab^x

Required

Determine the intercept

The intercept is at point: x = 0

So, we have:

f(0) = ab^0

f(0) = a*1

f(0) = a

So, the intercept is at point (0,a)

<em>None of the options is true</em>

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2 years ago
Teachers drive a mini-van. what percentage of the teachers drive a mini-van? (6.5B*) There are 60 teachers at Smith Middle Schoo
tekilochka [14]
20 o/o fndjdndbbbbbndndn
5 0
3 years ago
4|m−n| if m=−7 and n=2 i really need to know what this is asap please
vekshin1

Answer:

36

Step-by-step explanation:

Plug in -7 as m and 2 as n into the expression:

4 | m - n |

4 | -7 -2 |

Solve:

4 | -9 |

4(9)

= 36

6 0
2 years ago
Select all the expressions that have a value of 40 when x = 10.8.
natta225 [31]

Answer:

Step-by-step explanation:

B. =16x+288x

C. = 1 18 x2+33.52

D.

1752

x

−

162

29

=

−162

29

x+1752

x

=

6(−27x+8468)

29x

=

−162x+50808

29x

F.=

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12

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5 0
3 years ago
Read 2 more answers
A pen company averages 1.2 defective pens per carton produced (200 pens). The number of defects per carton is Poisson distribute
nlexa [21]

Answer:

a. P(x = 0 | λ = 1.2) = 0.301

b. P(x ≥ 8 | λ = 1.2) = 0.000

c. P(x > 5 | λ = 1.2) = 0.002

Step-by-step explanation:

If the number of defects per carton is Poisson distributed, with parameter 1.2 pens/carton, we can model the probability of k defects as:

P(k)=\frac{\lambda^{k}e^{-\lambda}}{k!}= \frac{1.2^{k}\cdot e^{-1.2}}{k!}

a. What is the probability of selecting a carton and finding no defective pens?

This happens for k=0, so the probability is:

P(0)=\frac{1.2^{0}\cdot e^{-1.2}}{0!}=e^{-1.2}=0.301

b. What is the probability of finding eight or more defective pens in a carton?

This can be calculated as one minus the probablity of having 7 or less defective pens.

P(k\geq8)=1-P(k

P(0)=1.2^{0} \cdot e^{-1.2}/0!=1*0.3012/1=0.301\\\\P(1)=1.2^{1} \cdot e^{-1.2}/1!=1*0.3012/1=0.361\\\\P(2)=1.2^{2} \cdot e^{-1.2}/2!=1*0.3012/2=0.217\\\\P(3)=1.2^{3} \cdot e^{-1.2}/3!=2*0.3012/6=0.087\\\\P(4)=1.2^{4} \cdot e^{-1.2}/4!=2*0.3012/24=0.026\\\\P(5)=1.2^{5} \cdot e^{-1.2}/5!=2*0.3012/120=0.006\\\\P(6)=1.2^{6} \cdot e^{-1.2}/6!=3*0.3012/720=0.001\\\\P(7)=1.2^{7} \cdot e^{-1.2}/7!=4*0.3012/5040=0\\\\

P(k

c. Suppose a purchaser of these pens will quit buying from the company if a carton contains more than five defective pens. What is the probability that a carton contains more than five defective pens?

We can calculate this as we did the previous question, but for k=5.

P(k>5)=1-P(k\leq5)=1-\sum_{k=0}^5P(k)\\\\P(k>5)=1-(0.301+0.361+0.217+0.087+0.026+0.006)\\\\P(k>5)=1-0.998=0.002

5 0
3 years ago
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