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Hoochie [10]
2 years ago
10

A stack of printer paper is 2 inches thick and contains 500 sheets. estimate the thickness of an individual sheet of the printer

paper. express your answer in micrometers.
Mathematics
1 answer:
Harrizon [31]2 years ago
4 0

The thickness of an individual sheet of the printer paper is 101.6 micrometer.

<h3>What is unit conversion?</h3>

Unit conversion is a multi-step process that involves multiplying or dividing by a mathematical factor or, more specifically, a conversion factor.

  • The procedure may also necessitate selecting the appropriate number of critical digits and rounding.
  • Different conversion units are used to evaluate different parameters.

Now, according to the question.

The total number of sheets are 500.

The thickness of stack of sheets are 2 inch.

convert 2 inch in cm;

2 inch  = 2× 2.54 cm

2 inch = 5.08 cm.

Thickness of 1 sheet = Total thickness/Total sheets

Thickness of 1 sheet = 5.08/500

Thickness of 1 sheet = 0.01016 cm

Covert this thickness in micrometer.

1 micrometer = 1/1000 cm

1 cm = 10000 micrometer

Thus,

0.01016 cm = 0.01016×10000

0.01016 cm = 101.6 micrometer

Therefore, the thickness of an individual sheet of the printer paper is 101.6 micrometer.

To know more about unit conversion, here

brainly.com/question/13016491

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L=26
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According to the American Lung Association, 7% of the population has lung disease. Of those having lung disease, 90% are smokers
postnew [5]

Answer:

Probability that a smoker has lung disease = 0.2132

Step-by-step explanation:

Let L = event that % of population having lung disease, P(L) = 0.07

So,% of population not having lung disease, P(L') = 1 - P(L) = 1 - 0.07 = 0.93

S = event that person is smoker

% of population that are smokers given they are having lung disease, P(S/L) = 0.90

% of population that are smokers given they are not having lung disease, P(S/L') = 0.25

We know that, conditional probability formula is given by;

                        P(S/L) = \frac{P(S\bigcap L)}{P(L)}  

                        P(S\bigcap L) = P(S/L) * P(L)

                                      = 0.90 * 0.07 = 0.063

So,  P(S\bigcap L) = 0.063 .

Now, probability that a smoker has lung disease is given by = P(L/S)

      P(L/S) = \frac{P(S\bigcap L)}{P(S)}

P(S) = P(S/L) * P(L) + P(S/L') * P(L')

       = 0.90 * 0.07 + 0.25 * 0.93 = 0.2955

Therefore, P(L/S) = \frac{0.063}{0.2955} = 0.2132

Hence, probability that a smoker has lung disease is 0.2132 .

7 0
4 years ago
What is the y-intercept of the function f(x)=4 - 5x? 05 O 5​
lapo4ka [179]

Answer:

4

Step-by-step explanation:

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3 years ago
What is the simplified form of this expression?
Alexxx [7]

Answer:

Option 4

Step-by-step explanation:

=> -3x^2+2x-4 + 4x^2+5x+9

Combining like terms

=> -3x^2+4x^2+2x+5x-4+9

=> x^2+7x+5

5 0
3 years ago
If the sample variance for a frequency distribution consisting of hourly wages was computed to be 10, what is the sample standar
skad [1K]

The sample standard deviation is (B) $3.16.

<h3>What is the sample standard deviation?</h3>
  • The sample standard deviation is defined as the root-mean-square of the differences between observations and the sample mean: A significant deviation is defined as two or more standard deviations from the mean.
  • The lowercase Greek letter (sigma) for the population standard deviation or the Latin letter s for the sample standard deviation is most commonly used in mathematical texts and equations to represent standard deviation.
  • For example, if the sample variance for a frequency distribution of hourly wages is 10 and the sample standard deviation is $3.16.

Therefore, the sample standard deviation is (B) $3.16.

Know more about sample standard deviation here:

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The complete question is given below:
If the sample variance for a frequency distribution consisting of hourly wages was computed to be 10, what is the sample standard deviation?

A. $4.67

B. $3.16

C. $1.96

D. $10.00

7 0
2 years ago
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