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Eva8 [605]
3 years ago
9

Mathilda has 20 pints of green paint.She uses 2/5 of it to paint a landscape and 3/10 of it while painting a clover.She decides

that,for her next painting. She will need 14 pints of green paint. How much more paint will she need to buy?
Mathematics
1 answer:
shtirl [24]3 years ago
6 0

2/5 = 8/20 and 3/10 = 6/20 which =  add the numerator 14 so 14/20 and will have 6 pints left over so she will need to buy 8 pints
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Find the balance in Grace's account after 2 years for a principal of $2500 if the bank pays simple interest at a rate of 5.25%.
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Answer: C.)2,762.50

Step-by-step explanation:

The bank is paying a simple interest of 5.25%.

After 2 years, Grace's account will have:

Simple interest:

= Principal * ( 1 + rate * years)

= 2,500 * ( 1 + 5.25% * 2)

= $‭2,762.50‬

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Determine if this table is a linear function. If so, what is the slope?
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Answer:

No, it is not linear

Step-by-step explanation:

It does not steadily increase the same interval every time.

Hope this helps (:

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2 years ago
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4 0
3 years ago
Read 2 more answers
Assume that females have pulse rates that are normally distributed with a mean of mu equals 73.0μ=73.0 beats per minute and a st
SVETLANKA909090 [29]

Answer:

a) 0.59483

b) 0.88493

c) Option D is correct.

Since the original population has a normal​ distribution, the distribution of sample means is a normal distribution for any sample size.

Step-by-step explanation:

This is a normal distribution problem with

μ = mean = 73 beats per minute

σ = standard deviation = 12.5 beats per minute

The probability that a female's pulse rate is less than 76 beats per minute. P(x < 76)

To do this, we first normalize/standardize the 76 beats per minute

The standardized score for any value is the value minus the mean then divided by the standard deviation.

z = (x - μ)/σ = (76 - 73)/12.5 = 0.24

To determine the probability that a female's pulse rate is less than 76 beats per minute. P(x < 76) = P(z < 0.24)

We'll use data from the normal probability table for these probabilities

P(x < 76) = P(z < 0.24) = 0.59483

b) If 25 adult females are randomly​ selected, the probability that they have pulse rates with a mean less than 76 beats per minute.

This is still a normal distribution problem

The mean of the sample = The population mean

μₓ = μ = 73 beats per minute

But the standard deviation of the sample is related to the standard deviation of the population through the relation

σₓ = σ/√n

where n = Sample size = 25

σₓ = 12.5/√25

σₓ = 2.5

we then normalize/standardize the 76 beats per minute

z = (x - μ)/σ = (76 - 73)/2.5 = 1.20

To determine the probability that the mean of 25 female's pulse rate is less than 76 beats per minute. P(x < 76) = P(z < 1.20)

We'll use data from the normal probability table for these probabilities

P(x < 76) = P(z < 1.20) = 0.88493

c) The problem was to find the probability thay the sample mean is less than a value.

For a normal distribution, the distribution of sample mean too, is normal. It is as simple as that.

4 0
3 years ago
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