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alexira [117]
3 years ago
11

What is the domain and range of (-6,3), (-1,2), (0,3), (2,4), (5, -1)

Mathematics
2 answers:
Nat2105 [25]3 years ago
8 0
D͓̽o͓̽m͓̽a͓̽i͓̽n͓̽: {-6 ≥x͓̽≤ 5}

R͓̽a͓̽n͓̽g͓̽e͓̽: {-1 ≥y͓̽≤ 4}
qaws [65]3 years ago
4 0
Domain: -6, -1, 0, 2, 5
Range: 3, 2, 4, -1
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You need to multiply 19.797 by 10 two times to reach 1979.7
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A local bakery has a daily operating cost of $1800 plus a cost of $10 per cake
Delicious77 [7]

Answer:

B. 15c > 1,800 + 10c

Step-by-step explanation:

Profit=Total revenue - total cost

Profit is achieved:

when total revenue is greater than total cost

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From the question

Total cost=1800+10c

Total revenue=15c

Profit=TR>TC or TC<TR

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Or

1800+10c<15c

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3 years ago
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If every student in a large Statistics class selects peanut M&amp;M’s at random until they get a red candy, on average how many
kotykmax [81]

Question:

According to Masterfoods, the company that manufactures M&M's, 12% of peanut M&M's are brown, 15% are yellow, 12% are red, 23% are blue, 23% are orange and 15% are green. You randomly select peanut M&M's from an extra-large bag looking for a red candy.

If every student in a large Statistics class selects peanut M&M’s at random until they get a red candy, on average how many M&M’s will the students need to select? (Round your answer to two decimal places.).

Answer:

If every student in the large Statistics class selects peanut M&M’s at random until they get a red candy the expected value of the number of  M&M’s the students need to select is 8.33 M&M's.

Step-by-step explanation:

To solve the question, we note that the statistical data presents a geometric mean. That is the probability of success is of the form.

The amount of repeated Bernoulli trials required before n eventual success outcome or

The probability of having a given number of failures before the first success is recorded.

In geometric distribution, the probability of having an eventual successful outcome depends on the the completion of a certain number of attempts with each having the same probability of success.

If the probability of each of the preceding trials is p and the kth trial is the  first successful trial, then the probability of having k is given by

Pr(X=k) = (1-p)^{k-1}p  

The number of expected independent trials to arrive at the first success for a variable Xis 1/p where p is the expected success of each trial hence p is the probability for the red and the expected value of the number of trials is 1/p or where p = 12 % which is 0.12

1/p = 1/0.12 or 25/3 or 8.33.

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