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ddd [48]
3 years ago
15

Please answer this multiple choice question only if you know it! 40 points and brainliest!

Mathematics
2 answers:
Leni [432]3 years ago
7 0

Answer:

reasonable conclusion , representative sample

Step-by-step explanation:

stich3 [128]3 years ago
6 0

Answer:

A: Reasonable conclusion, representative sample.

Step-by-step explanation:

You have plenty of data to pull from in this problem because they have kept a record of the past 100 years. It is a reasonable conclusion because if it has done it 100 times in a row it is very likely to do it again. That is why the correct answer is A.

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There are 283 students and Wiley school and 59 of them are in the sixth grade. What is the approximate percent of six graders at
Paladinen [302]
20% are in 6th grade
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3 years ago
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Plz help me with this i will give u brainliest
Darya [45]

Answer:

2 tons are 4000 pounds

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3 0
2 years ago
(b) Write 3*3*3*3* 3 as a single power of 3
algol13

Answer:

3⁵

Step-by-step explanation:

3×3×3×3×3=3⁵

You have a mutiplication. The base is 3, the exponent is the count of how many 3 you have. In this multiplication 3 appears 5 times, so 3⁵.

5 0
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
Can someone help me this question?
Vilka [71]

Answer:

The answer is B.

Step-by-step explanation:

5 0
3 years ago
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