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Vikentia [17]
3 years ago
5

As part of the performance bonus in a certain company, an employee will earn a 1 % increase every month. Ricka earns P 20 000 ev

ery month. How much will she earn after a year?
Mathematics
1 answer:
andreev551 [17]3 years ago
6 0

Answer:

FV= $22,536.5

Step-by-step explanation:

Giving the following information:

Growth rate (i)= 1% monthly

Present value (PV)= $20,000

Number of periods= 12 months

<u>To calculate how much will the employee earn after a year, we need to use the following formula:</u>

FV= PV*(1+i)^n

FV= 20,000*1.01^12

FV= $22,536.5

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elixir [45]

Answer: -0.85

Step-by-step explanation:

3/10 + 1/5 = 1/2

1/2 x -4.25 = -0.85

3 0
1 year ago
A particular frozen yogurt has 75 calories in 2 ounces how many calories are in 8 ounces of the yogurt
Sveta_85 [38]
Hello there! If you know basic division, then you know that 8/2 is 4. With 75 calories being in 2 ounces of yogurt, all we have to do is multiply by 4 to get the amount of calories in 8 ounces of yogurt, because 2 * 4 is 8. Plus for this scenario, whatever we do to one part, we must do to the other. Let's solve. 75 * 4 is 300. There. There are 300 calories in 8 ounces of yogurt.
7 0
3 years ago
An item is regularly priced at $97. Lucy bought it at a discount of 55% off the regular price.
Anastasy [175]
43.65 and saved 53.35
5 0
2 years ago
In ten throws theo makes 4 baskets how many baskets will he make in 25 throws​
grigory [225]

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4 0
3 years ago
Assume the competing hypotheses take the following form: H0: µ1 – µ2 = 0, HA: µ1 – µ2 ≠ 0, where µ1 is the population mean for p
DedPeter [7]

Answer:

t=\frac{\bar x_1- \bar x_2}{\sqrt{\frac{s_1^2}{n_1} +\frac{s_2^2}{n_2} } }

Step-by-step explanation:

H0: µ1 – µ2 = 0

HA: µ1 – µ2 ≠ 0

We have given,

The population variances are not known and cannot be assumed equal.

The test statistic for the test is

t=\frac{\bar x_1- \bar x_2}{\sqrt{\frac{s_1^2}{n_1} +\frac{s_2^2}{n_2} } }

Where,

\bar x_1 = sample meaan of population 1

\bar x_2 = sample mean of population 2

n_1 = sample size of population 1

n_2 = sample size of population 2

Therefore, this is the test

t=\frac{\bar x_1- \bar x_2}{\sqrt{\frac{s_1^2}{n_1} +\frac{s_2^2}{n_2} } }

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3 years ago
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