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vredina [299]
3 years ago
7

Tristan has found a good job as a bookkeeping clerk after finishing his associates degree at the local community college. He is

making a beginning annual salary of $19,760. How can this increased income affect his financial decisions? Compare his previous budget when he worked part time while finishing his degree with his current budget after getting a full time job.
Monthly budget | Previous Budget | Current Budget

income
Wages | $786 | $1646

Expenses
Rent | $300 | $600
Utilities | $60 | $120
Groceries | $130 | $200
Savings | $120 | $350
Car Expenses | $150 | $150
Entertainment | $20 | $120

Net Income | $6 | $106

a.Tristan is spending too much money on groceries and entertainment.

b.Tristan is earning quite a bit more in his full time job. He is spending more on rent, utilities, food, and entertainment, as well as saving $350 each month.

c.Tristan is earning double his previous wages. He should double his expenses, as well.

d.Tristan's increased income should have no effect on his financial decisions.
Mathematics
2 answers:
Soloha48 [4]3 years ago
8 0

The increased income is affecting Tristan's financial decisions as now he is spending more as well as saving more.

The correct answer is option B.

Tristan is earning quite a bit more in his full time job. He is spending more on rent, utilities, food, and entertainment, as well as saving $350 each month.

stepladder [879]3 years ago
5 0

B. Tristan is earning quite a bit more in his full time job.

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Answer:

0.1694 = 16.94% probability of a positive result for three samples combined into one mixture.

Step-by-step explanation:

For each test, there are only two possible outcomes. Either it is positive, or it is negative. The probability of a test being positive or negative is independent of any other test, which means that the binomial probability distribution is used to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

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And p is the probability of X happening.

The probability of an individual blood sample testing positive for the virus is 0.06.

This means that p = 0.06

If samples from three people are combined and the mixture tests negative, we know that all three individual samples are negative. Find the probability of a positive result for three samples combined into one mixture.

It will be positive if at least one of the tests is positive, that is:

P(X \geq 1) = 1 - P(X = 0)

In which

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P(X = 0) = C_{3,0}.(0.06)^{0}.(0.94)^{3} = 0.8306

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P(X \geq 1) = 1 - P(X = 0) = 1 - 0.8306 = 0.1694

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Answer:

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Step-by-step explanation:

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Answer:  38/7

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