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Brilliant_brown [7]
3 years ago
10

A telephone soliciting company obtains an average of five orders per 1000 solicitations. If the company reaches 250 potential cu

stomers, find the probability of obtaining at least two orders.
Mathematics
1 answer:
k0ka [10]3 years ago
5 0
Well the numbers we know are five, 1,000 and 250

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A^9*8a^4 will mark as brainiest
Aneli [31]
A9*8a4

Final result :

23a13
Step by step solution :

Step 1 :

Equation at the end of step 1 :

23a9 • a4
Step 2 :

Multiplying exponential expressions :

2.1 a9 multiplied by a4 = a(9 + 4) = a13

Final result :

23a13

7 0
2 years ago
Read 2 more answers
Find the area of this triangle. round to the nearest tenth.
tiny-mole [99]

Answer:  108.83 yd

Step-by-step explanation:

Not sure if correct but I tried

6 0
2 years ago
34 petri dishes are prepared with a growth medium. 16 are randomly selected and treated with antibiotic A. The other 18 are trea
harina [27]

Answer:

(a) According to the central limit theorem, the distributions of the sample means of sufficiently large samples randomly selected from a population with mean, μ and standard deviation, σ with replacement will be normally distributed

Therefore, given that the size of the population from which the samples were selected (34 petri dishes) is comparable the sizes of the samples, (16 and 18), therefore, the samples are approximately normal

Also given that the petri dishes were prepared with growth medium designed to increase the growth of microorganisms, with an expected amount of growth, the samples therefore came from approximately normal distributions

Step-by-step explanation:

8 0
2 years ago
Jane bought a packet of 12 cards for $15.00 <br>What would be the average price of a card?
nignag [31]
12 cards = $15.00

1 card = $15.00 ÷ 12 = $1.25


Answer: $1.25
5 0
2 years ago
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A manufacturing process produces integrated circuit chips. Over the long run the fraction of bad chips produced by the process i
Vitek1552 [10]

Answer:

0.0244 (2.44%)

Step-by-step explanation:

defining the event T= the chips passes the tests , then

P(T)= probability that the chip is not defective * probability that it passes the test given that is not defective  + probability that the chip is defective * probability that it passes the test given that is defective = 0.80 * 1 + 0.20 * 0.10 = 0.82

for conditional probability we can use the theorem of Bayes. If we define the event D=the chip was defective , then

P(D/T)=P(D∩T)/P(T) = 0.20 * 0.10/0.82=  0.0244 (2.44%)

where

P(D∩T)=probability that the chip is defective and passes the test

P(D/T)=probability that the chip is defective given that it passes the test

5 0
3 years ago
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