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NikAS [45]
3 years ago
5

-3q is greater than or equal to 91.5 solve the inequality

Mathematics
1 answer:
9966 [12]3 years ago
7 0

Answer:

q is less than or equal to 30.5

Step-by-step explanation:

Divide both sides by -3, but change the sign (bc you're dividing by a negative)

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Slope = (y2 - y1)/(x2 - x1) = (-1 - 4)/(4 - (-3)) = -5/(4 + 3) = -5/7
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How are sequences whose consecutive terms differ by a constant modeled, and what can those models tell us?
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Linear functions

Step-by-step explanation:

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After lunch a supervisor ask you to put to a machine together before the end of the day.It is already 4hours 35second into your
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You have 3hours 25seconds left to assemble the machine.
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Kelvin claims that a pol yhedron can have 30 edges , 18 faces and 12 vertices . Do you agree with him ? Explain your answer .
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5 0
3 years ago
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
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.

4 0
3 years ago
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