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Allushta [10]
3 years ago
7

Please help me with this i don’t understand

Mathematics
1 answer:
nevsk [136]3 years ago
4 0

Answer:

20.12 ft

Step-by-step explanation:

if you take 6^2 and subtract that from 21^2 then you will get your answer after finding the square root of the answer that the calculator gives you.

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On a recent trip, mary drove 50 miles. what was the average speed at which she drove the 50 miles? (1) she drove 30 miles at an
meriva
110 miles per minute i think
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3 years ago
A principal of $835 in an account at 3% per quarter simple interest
Tems11 [23]
Take $835 and multiply by 0.3 and you get $25.05
If you add $25.05 to $835 you will get $860.05
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8 0
4 years ago
2.According to www.city-data, the mean price for a detached house in Franklin County, OH in 2009 was $192,723. Suppose we know t
igor_vitrenko [27]

Answer:

0.7123 = 71.23% probability that a random sample of 75 detached houses in Franklin County had a mean price greater than $190,000 in 2009.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

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.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

The mean price for a detached house in Franklin County, OH in 2009 was $192,723. Suppose we know that the standard deviation was $42,000.

This means that \mu = 192723, \sigma = 42000

Sample of 75:

This means that n = 75, s = \frac{42000}{\sqrt{75}}

What is the probability that a random sample of 75 detached houses in Franklin County had a mean price greater than $190,000 in 2009?

1 subtracted by the p-value of Z when X = 190000. So

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

By the Central Limit Theorem

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

Z = \frac{190000 - 192723}{\frac{42000}{\sqrt{75}}}

Z = -0.56

Z = -0.56 has a p-value of 0.2877

1 - 0.2877 = 0.7123

0.7123 = 71.23% probability that a random sample of 75 detached houses in Franklin County had a mean price greater than $190,000 in 2009.

5 0
3 years ago
Solve for the inequality -6x+5 < 41
In-s [12.5K]

Step-by-step explanation:

-6x + 5 -5 < 41-5

-6x/-6 < 36/-6

x > -6

S.s{-5,-4,-3,-2,-1.....}

3 0
3 years ago
Please look at the assignment be creative and come up with your own ratio and example in your own words. ALSO PLEASE HURRY!
svetoff [14.1K]

eeeeeeeeeeeeeeeeeeee

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