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Tcecarenko [31]
4 years ago
6

HELP! TIMED QUESTION!

Mathematics
1 answer:
diamong [38]4 years ago
3 0

Answer:

1

Step-by-step explanation:

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Suppose that you live in a community that has 125,000 households. Among these households, 50,000 have traditional landline telep
DedPeter [7]

Answer:

0.4 = 40% probability that the second household selected will have a traditional landline telephone

Step-by-step explanation:

A probability is given by the number of desired outcomes divided by the number of total outcomes.

We have that:

125,000 households

50,000 have traditional landlines telephones.

The first household selected does not have a traditional landline telephone.

Now we have 125000 - 1 = 124,999 households, and 50,000 have traditional landlines telephones.

What is the probability that the second household selected will have a traditional landline telephone

p = \frac{50000}{124999} = 0.4

0.4 = 40% probability that the second household selected will have a traditional landline telephone

6 0
3 years ago
42 percent of what number is .21
Andre45 [30]

Answer:

0.5

Step-by-step explanation:

0.42 x = 0.21

x=0.5

4 0
3 years ago
Give an example of a function from the set of integers to the set of positive integers that is g
BaLLatris [955]

The function ...

... g = |x| + 1

will map any integer x into the set of positive integers g.

3 0
4 years ago
TODAYTHIS WEEKCREDITS$Patricia was setting up a room with tables for an event. The room had9 maple tables, 10 poplar tables, 5 c
prohojiy [21]

As in each table can seat 8 people and the probability you need to find is about the first person you can ignore this data.

Probability that the first person to enter the room will be randomly seated at a maple table:

P(maple)=\frac{#maple\text{ }tables}{#total\text{ }tables}

#maple tables: 9

# total tables: 9 +10 +5 +7=31

P(maple)=\frac{9}{31}Then, the probability that the first person to enter the room will be randomly seated at a maple table is 9/31
3 0
1 year ago
Approximately 4% of silicon wafers produced by a manufacturer have fewer than two large flaws. If Y, the number of flaws per waf
Doss [256]
Y ~ Po (λ)

P(Y < 2) = P(Y ≤ 1) = 0.04

Plug into the pdf for Po(λ), and solve for λ

After that, use your answer to find P(Y > 5)
6 0
3 years ago
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