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Alina [70]
3 years ago
10

If p=9 and q=30, evaluate the following expression:p−q/3​

Mathematics
2 answers:
nadezda [96]3 years ago
6 0

Answer:

-1

Step-by-step explanation:

Ivenika [448]3 years ago
3 0

p = 9

q = 30

p - q/3

9 - 30/3

9 - 10

-1

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What is 3 tenths as a percentage
Valentin [98]
It is thirty percent (30%). there are ten tenths in one hundred. One tenth is equal to ten percent.

7 0
2 years ago
What is 0.7b^3•0.4b^9
Dennis_Churaev [7]

It's an expression that can be simplified to read

       ( 0.7  x  0.4 ) ( b³  x  b⁹ )

   =  (      0.28    )  (    b¹²      )  =  0.28 b¹² .

4 0
3 years ago
Find the area of EBCD using (a) and (b).
ioda

I hope this helps you

6 0
3 years ago
In a process that manufactures bearings, 90% of the bearings meet a thickness specification. A shipment contains 500 bearings. A
vredina [299]

Answer:

c) P(270≤x≤280)=0.572

d) P(x=280)=0.091

Step-by-step explanation:

The population of bearings have a proportion p=0.90 of satisfactory thickness.

The shipments will be treated as random samples, of size n=500, taken out of the population of bearings.

As the sample size is big, we will model the amount of satisfactory bearings per shipment as a normally distributed variable (if the sample was small, a binomial distirbution would be more precise and appropiate).

The mean of this distribution will be:

\mu_s=np=500*0.90=450

The standard deviation will be:

\sigma_s=\sqrt{np(1-p)}=\sqrt{500*0.90*0.10}=\sqrt{45}=6.7

We can calculate the probability that a shipment is acceptable (at least 440 bearings meet the specification) calculating the z-score for X=440 and then the probability of this z-score:

z=(x-\mu_s)/\sigma_s=(440-450)/6.7=-10/6.7=-1.49\\\\P(z>-1.49)=0.932

Now, we have to create a new sampling distribution for the shipments. The size is n=300 and p=0.932.

The mean of this sampling distribution is:

\mu=np=300*0.932=279.6

The standard deviation will be:

\sigma=\sqrt{np(1-p)}=\sqrt{300*0.932*0.068}=\sqrt{19}=4.36

c) The probability that between 270 and 280 out of 300 shipments are acceptable can be calculated with the z-score and using the continuity factor, as this is modeled as a continuos variable:

P(270\leq x\leq280)=P(269.5

d) The probability that 280 out of 300 shipments are acceptable can be calculated using again the continuity factor correction:

P(X=280)=P(279.5

8 0
3 years ago
PLEASE HELP!!!!!!
Sholpan [36]
A: High School P, because it has the lowest <span>σ
B: High School N, because it has the highest mean</span>
8 0
3 years ago
Read 2 more answers
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