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2 months ago

Logan can read at a rate of 2/3 page per minute. At that rate, how many pages can he read in 2 hours?

Mathematics

1 answer:

Inessa [12.5K]2 months ago

7 0

Response:

240- 360

Step-by-step breakdown:

First, determine how many minutes are in an hour, which is 60. Multiply that by 2 to find the total for 2 hours, resulting in 120 minutes. Next, you calculate the total for 2 hours by multiplying 2 by 120, yielding 240. Then, multiply 3 by 120 for a total of 360.

I'm unsure if this answer is accurate, but that's my approach.:)

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2 months ago

An amusement park reports that the probability of a visitor riding its largest roller coaster is 30 percent, the probability of

Leona [12618]

Response:

P(largest or smallest) = 0.30 + 0.20 - 0.15

Detailed explanation

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2 months ago

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the table shows the sales of admission tickets to a science museum. A table labeled Science Museum Admission Revenue. It contain

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<span>The admission price for the art museum is $9.75 per ticket.

</span><span>Compared to science museum tickets, art museum tickets are pricier.
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This was verified through my testing.

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2 months ago

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1. The following are the number of hours that 10 police officers have spent being trained in how to handle encounters with peopl

zzz [12365]

Answer:

$Range = 16$

$Inter\ Quartile\ Range = 6.75$

$Variance = 20.44$

$Standard\ Deviation = 4.52$

Step-by-step explanation:

Provided

4, 17, 12, 9, 6, 10, 1, 5, 9, 3

Calculating the range;

$Range = Highest - Lowest$

From the data provided;

The highest value is 17 and the lowest is 1

Thus;

$Range = 17 - 1$

$Range = 16$

Calculating the inter-quartile range

The inter-quartile range (IQR) is computed as follows

$IQR = Q_3 - Q_1$

Where

Q3 = Upper Quartile and Q1 = Lower Quartile

Start by sorting the data in ascending order

1, 3, 4, 5, 6, 9, 9, 10, 12, 17

N = Total data points; N = 10

---------------------------------------------------------------------------------

Calculating Q3

$Q_3 = \frac{3}{4}(N+1) th\ item$

Substituting 10 for N

$Q_3 = \frac{3}{4}(10+1) th\ item$

$Q_3 = \frac{3}{4}(11) th\ item$

Expressing 8.25 as 8 + 0.25 $Q_3 = \frac{33}{4} th\ item$

$Q_3 = 8.25 th\ item$

Converting 0.25 into fractions

$Q_3 = (8 + 0.25) th\ item$

$Q_3 = 8th\ item + 0.25 th\ item$

From the ordered dataset;

$Q_3 = 8th\ item +\frac{1}{4} th\ item$ and

$Q_3 = 8th\ item +\frac{1}{4} (9th\ item - 8th\ item)$

$8th\ item = 10$ $9th\ item = 12$

$Q_3 = 8th\ item +\frac{1}{4} (9th\ item - 8th\ item)$

$Q_3 = 10 +\frac{1}{4} (12 - 10)$

$Q_3 = 10 +\frac{1}{4} (2)$

$Q_3 = 10 +0.5$

$Q_3 = 10.5$

Calculating Q1

Substituting 10 for N

$Q_1 = \frac{1}{4}(N+1) th\ item$

Expressing 2.75 as 2 + 0.75

$Q_1 = \frac{1}{4}(10+1) th\ item$

$Q_1 = \frac{1}{4}(11) th\ item$

$Q_1 = \frac{11}{4} th\ item$

$Q_1 = 2.75 th\ item$

Converting 0.75 into fractions

$Q_1 = (2 + 0.75) th\ item$

$Q_1 = 2nd\ item + 0.75 th\ item$

From the arranged dataset;

and $Q_1 = 2nd\ item +\frac{3}{4} th\ item$

$Q_1 = 2nd\ item +\frac{3}{4} (3rd\ item - 2nd\ item)$

$2nd\ item = 3$ $3rd\ item = 4$

$Q_1 = 3 +\frac{3}{4} (4 - 3)$

$Q_1 = 3 +\frac{3}{4} (1)$

$Q_1 = 3 +0.75$

$Q_1 = 3.75$

---------------------------------------------------------------------------------

Remember that

$IQR = Q_3 - Q_1$

$IQR = 10.5 - 3.75$

$IQR = 6.75$

Calculating Variance

Begin by determining the mean

$Mean = \frac{1+3+4+5+6+9+9+10+12+17}{10}$

$Mean = \frac{76}{10}$

$Mean = 7.6$

Then subtract the mean from each value and square the differences

$(1 - 7.6)^2 = (-6.6)^2 = 43.56$

$(3 - 7.6)^2 = (-4.6)^2 = 21.16$

$(4 - 7.6)^2 = (-3.6)^2 = 12.96$

$(5 - 7.6)^2 = (-2.6)^2 = 6.76$

$(6 - 7.6)^2 = (-1.6)^2 = 2.56$

$(9 - 7.6)^2 = (1.4)^2 = 1.96$

$(10 - 7.6)^2 = (2.4)^2 = 5.76$

$(12 - 7.6)^2 = (4.4)^2 = 19.36$

$(17 - 7.6)^2 = (9.4)^2 = 88.36$

Sum up the squared results

$43.56 + 21.16 + 12.96 + 6.76 + 2.56 + 1.96 + 1.96 + 5.76 + 19.36 + 88.36 = 204.4$

Then divide that sum by the total number of observations;

$Variance = \frac{204.4}{10}$

$Variance = 20.44$

Calculating Standard Deviation (SD)

$SD = \sqrt{Variance}$

$SD = \sqrt{20.44}$

$SD = 4.52$ (Approximated)

4 0

2 months ago