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fredd [130]
3 years ago
10

Employee A gets paid $150 weekly, plus $0.50 for each latte they sell. If he was paid $275,

Mathematics
1 answer:
Andrei [34K]3 years ago
3 0

Answer:

550 lattes he sold this week

Step-by-step explanation:

$275÷$0.50= 550

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What Is 3,552,308,725 In Word Form
Liono4ka [1.6K]
3, 552, 308, 725 in word form is:

Three billion, five hundred fifty-two million, three hundred eight thousand, seven hundred twenty-five.

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You invest $1,050.00, buying stock in a company at $10.00/share. The shares increase in value by 13% the first year and decrease
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Number of shares
1050/10=105
After one year share value
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Samantha earns $8 per hour at a candy store. She receives a 5% raise. What are her new hourly earnings?
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$8 x 5 = 40

40/100 = 0.4

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Therefore Samantha now earns $8.4 per hour.
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Explain the difference between the theoretical probability and finish odds
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Answer:

Theoretical probability is what that you expect to happen to you while experimental is what actually happen when you try it out.

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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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