Mrs Galicia gave her sisters $3000 each to invest. The investment will last 8 years. The table shows what each sister did with t
heir investment and how it changed over 8 years. Use the chart to answer the following questions please
1. What is the balance of Michelle's $3000 after 8 years?
2. What is the balance of Kristen's $3000 after 8 years?
3. What is the balance of Gabriella's $3000 after 8 years?
4. What is the balance of Judy's $3000 after 8 years?
5. Who has the most money at the end of the 8 years? If i were to choose one of the options to use for my own money, which option should I choose?
1. What is the balance of Michelle's $3000 after 8 years?
2. What is the balance of Kristen's $3000 after 8 years?
3. What is the balance of Gabriella's $3000 after 8 years?
4. What is the balance of Judy's $3000 after 8 years?
5. Who has the most money at the end of the 8 years? If i were to choose one of the options to use for my own money, which option should I choose?
1 answer:
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Answer:
,
Step-by-step explanation:
The function of the graph can be written in the vertex form as
, where V(h,k)=V(2,4) is the vertex of the quadratic function.
We substitute the value to obtain;
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The point (5,1) lies on the graph so we use it to determine the value of a.
,
,
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The required equation is
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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) =
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.