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marishachu [46]
1 year ago
12

What are the characteristics of a pie chart?

Mathematics
1 answer:
Anika [276]1 year ago
8 0
A pie chart, sometimes known as a circle chart, is a circular statistical visual that shows numerical proportion through slices of data.

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this weekend you're going to go kayaking down the Colorado River. the rental shop charges $13.00 to rent a kayak with paddles pl
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You would owe the rental shop 54 dollars 

13.00 x 5.00 = 18.00

since it is per hour you multiply 18.00 x 3

3 stands for the hours you kayaked 

and that gives you 54 

therefore your answer is 54<span />
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3 years ago
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ASAP FOR BRAINIEST AND MANY POINTS
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addition I hope this is right

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3 years ago
Find the slope in fraction form
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Answer:

-1/3

Step-by-step explanation:

Taking two points on the graph (I took (0,9) and (6,7)

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What is the y-intercept of a line that has a slope of 3 and passes through point (-1, -7)?
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Step-by-step explanation:

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3 years ago
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Monitors manufactured by TSI Electronics have life spans that have a normal distribution with a variance of 4,000,000 and a mean
In-s [12.5K]

Using the normal distribution, it is found that there is a 0.2776 = 27.76% probability that the life span of the monitor will be more than 20,179 hours.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean \mu and standard deviation \sigma is given by:

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

  • The z-score measures how many standard deviations the measure is above or below the mean.
  • Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

The mean and the standard deviation are given, respectively, by:

\mu = 19000, \sigma = \sqrt{4000000} = 2000

The probability that the life span of the monitor will be more than 20,179 hours is <u>one subtracted by the p-value of Z when X = 20179</u>, hence:

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

Z = \frac{20179 - 19000}{2000}

Z = 0.59.

Z = 0.59 has a p-value of 0.7224.

1 - 0.7224 = 0.2776.

0.2776 = 27.76% probability that the life span of the monitor will be more than 20,179 hours.

More can be learned about the normal distribution at brainly.com/question/24663213

#SPJ1

6 0
2 years ago
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