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Travka [436]
3 years ago
5

How to calculate slope and provide a prime example to back up your answer...

Mathematics
1 answer:
ArbitrLikvidat [17]3 years ago
4 0

Answer:

To find the slope, you divide the difference of the y-coordinates of 2 points on a line by the difference of the x-coordinates of those same 2 points .

Step-by-step explanation:

Khan Academy has videos explaining this on yt.

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Data from the Centers for Disease Control and Prevention indicate that weights of American adults in 2005 had a mean of 167 poun
sesenic [268]

Answer:

92.65% probability that the total weight in a random sample of 47 American adults exceeds 7500 pounds in 2005.

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 normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore 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 pvalue, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem estabilishes 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.

For sums the theorem can also be used, with mean n*\mu and standard deviation s = \sqrt{n}*\sigma

In this problem, we have that:

n = 47, \mu = 47*167 = 7849, s = \sqrt{47}*35 = 240

Use this information to estimate the probability that the total weight in a random sample of 47 American adults exceeds 7500 pounds in 2005.

This is 1 subtracted by the pvalue of Z when X = 7500. So

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

By the Central Limit Theorem

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

Z = \frac{7500 - 7849}{240}

Z = -1.45

Z = -1.45 has a pvalue of 0.0735

1 - 0.0735 = 0.9265

92.65% probability that the total weight in a random sample of 47 American adults exceeds 7500 pounds in 2005.

5 0
3 years ago
Which round to ten 9.943, 9.501, 9.234, 9.612
RoseWind [281]

Answer:

What is it rounded up to???

Step-by-step explanation:

7 0
3 years ago
Explain how to find 20 ÷ 4 by making an array.
NNADVOKAT [17]
You can put 20 objects in  4 rows
6 0
3 years ago
Read 2 more answers
Enter the absolute value of the number as a mixed number in simplest form.<br><br><br> −6 7/19
Aneli [31]
 This is the answer because absolute value is the opposite of the number. 6 -7/19

7 0
3 years ago
Brainliest to the most correct answer!!!
tino4ka555 [31]

Answer:

Multiply the top equation by two because both y value will become opposites and will eliminate.

Please give Brainliest! I never got one! :)

3 0
3 years ago
Read 2 more answers
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