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ollegr [7]
3 years ago
15

Find the mean, variance, and standard deviation. If necessary, round your answer to the nearest hundredth.

Mathematics
1 answer:
storchak [24]3 years ago
4 0

Your answer would be 4.

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Help Please... 15 points :)
morpeh [17]

Answer:

√100 = 10, √36 = 6, √225 = 15

Step-by-step explanation:

100 can be made by 10^2 (10 x 10), 36 has factors of 6 and can be made by 6^2, and 225 can be made by 15^2.

5 0
3 years ago
Read 2 more answers
Evaluate the expression 11 c 4 =
Gennadij [26K]
The answer is 26 its a combinatio0n problem

7 0
3 years ago
(7.2 x ten to the third) - (2.2 x ten to the fifth)
trapecia [35]

Answer:

-212800

Step-by-step explanation:

7.2 × 10³ = 7.2 × 1000 = 7200

2.2 × 10 to the power 5 = 2.2 × 100000 = 220000

7200 - 220000 = -212800

7 0
3 years ago
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Jillian is trying out for the cross country team. To make the team, she must run 3 1/2 miles in less than 40 mins. Will Jillian
aliina [53]

Answer:

Yes, Jillian will make it for the team, beacuse it's very easy to run 3.5 miles in 40 minutes. Actually, you can run 5 miles very easily in 40 minutes.

My gratitude attitude-THANKS!

5 0
2 years ago
Select the most accurate statement regarding the normal distribution. Group of answer choices It is always the appropriate distr
PSYCHO15rus [73]

Answer:

There is a 95% chance that values will be within ±2 standard deviations of the mean.

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.

The Empirical Rule states that, for a normally distributed random variable:

Approximately 68% of the measures are within 1 standard deviation of the mean.

Approximately 95% of the measures are within 2 standard deviations of the mean.

Approximately 99.7% of the measures are within 3 standard deviations of the mean.

In this question:

According to the empirical rule, 95% of the measures are within 2 standard deviations of the mean. So the correct statement is:

There is a 95% chance that values will be within ±2 standard deviations of the mean.

4 0
3 years ago
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