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3 years ago

PLEASE HELP! I'M FAILING ALGEBRA CLASS AND I REALLY DON'T UNDERSTAND THIS!

Mathematics

1 answer:

motikmotik3 years ago

7 0

Answer:

Yes

Step-by-step explanation:

85, 85, 90, 90, 95, 95, 100, 100, 150

Median: 95

Q1: (85+90)/2 = 87.5

Q3: 100

IQR: Q3 - Q1 = 100 - 87.5 = 12.5

1.5 × IQR = 18.75

Outliers are outside the interval:

[Q1 - 1.5×IQR, Q3 + 1.5×IQR]

Q3 + 1.5IQR = 100 + 18.75

= 118.75

Since 150 > 118.75, it is an outlier

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There are 3.76 x 10 to the power of 22 atoms in 1 gram of oxygen. How many atoms are there in 600 grams of oxygen? Write your an

tatiyna

Answer:

<u>2.256 x 10 to the power of 25</u>

Step-by-step explanation:

There are 3.76 x 10 to the power of 22 atoms in 1 gram of oxygen

So, there are x atoms in 600 grams of oxygen

Using the ratio and proportional

So, the number of atoms = 600 * 3.76 x 10 to the power of 22 =

$= 6*10^2 * 3.76 * 10^{22}\\=6*3.76 * 10^2*10^{22}\\=22.56 * 10^{24}\\=2.256 * 10 * 10^{24}\\=2.256 * 10^{25}$

So, the answer in scientific notation as A.BCD x 10 to the power of E

Will be <u>2.256 x 10 to the power of 25</u>

3 0

3 years ago

Four and three fourths minus one and one third

Oksana_A [137]

Answer:

3 5/12

Step-by-step explanation:

4 3/4 - 1 1/3

3 x 3/4 x 3

4 9/12 - 1 1/3

1 x 4/3 x 4

4 9/12 - 1 4/12

4 - 1 = 3

9/12 - 4/12 = 5/12

3 5/12

7 0

2 years ago

Police response time to an emergency call is the difference between the time the call is first received by the dispatcher and th

andrew11 [14]

Answer:

a) 0.7683 = 76.83% probability that a randomly selected emergency call is between 5 and 10 minutes.

b) 0.0606 = 6.06% probability that a randomly received emergency call is of less than 5 min.

c) 0.1711 = 17.11% probability that a randomly received emergency call is of more than 10 min.

Step-by-step explanation:

Normal Probability Distribution:

Problems of normal distributions can be solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

$Z = \frac{X - \mu}{\sigma}$

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Mean of 8.1 minutes and a standard deviation of 2.0 minutes.

This means that $\mu = 8.1, \sigma = 2$