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2 years ago

What is the first incorrect step?

Mathematics

1 answer:

Zolol [24]2 years ago

8 0

I think it’s A because it’s says angeline did not make a mistake while the other point are describing or guessing the mistake she made

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I need help please. It’s a quiz!

mariarad [96]

charlie and sons- 75 x 100=7500 + 1000= $8500

home dreams- 80 x 100=8000 + 800= $8800

Dream house is more expensive

Brainliest Please!

7 0

1 year ago

The hockey team played 82 regular season games last year. If they won 44 games, what is the ratio of wins to losses?

lina2011 [118]

Answer:

22:19

Step-by-step explanation:

Matches lose=82-44

=38

ratio=44:38

=22:19

5 0

3 years ago

Read 2 more answers

in september 2007, the average price of gasoline was $2.81 a gallon. This price represented an increase of $2.31 less than twice

hodyreva [135]

Answer:

x = $2.56

Step-by-step explanation:

To solve this, you do the inverse of both operations, which is multiplication and subtraction. The first inverse would be addition, so 2.81 + 2.31 = 5.12. Then, the second inverse would be division, so 5.12 divided by 2 = 2.56. So therefore, x = $2.56 is the correct answer for the price in September 2006.

8 0

3 years ago

The capacity of an elevator is 10 people or 1730 pounds. The capacity will be exceeded if 10 people have weights with a mean gre

Nadusha1986 [10]

Answer:

a. 48.80%

b. 46.02%

c. 57.93% probability of the sample mean weight being above the weight limit, which is a high probability, meaning that the elevator does not appear to have the correct weight limit

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.

In this problem, we have that:

$\mu = 175, \sigma = 31$

a. find the probability that if a person is randomly selected, his weight will be greater than 176 pounds.

This is 1 subtracted by the pvalue of Z when X = 176. So

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

$Z = \frac{176 - 175}{31}$

$Z = 0.03$

$Z = 0.03$ has a pvalue of 0.5120

1 - 0.5120 = 0.4880

48.80% probability that if a person is randomly selected, his weight will be greater than 176 pounds.

b. Find the probability that 10 randomly selected people will have a neam that is greater than 176 pounds.

Now $n = 10, s = \frac{31}{\sqrt{10}} = 9.8$

This is 1 subtracted by the pvalue of Z when X = 176. So

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

By the Central Limit Thorem

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

$Z = \frac{176 - 175}{9.8}$

$Z = 0.1$

$Z = 0.1$ has a pvalue of 0.5398

1 - 0.5398 = 0.4602

46.02% probability that 10 randomly selected people will have a neam that is greater than 176 pounds.

c. Does the elevator appear to have the correct weight limit?

The weight limit is 173 pounds in a sample of 10.

The probability that the mean weight is larger than this is 1 subtracted by the pvalue of Z when X = 173. So

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

$Z = \frac{173 - 175}{9.8}$

$Z = -0.2$

$Z = -0.2$ has a pvalue of 0.4207

1 - 0.4207 = 0.5793

57.93% probability of the sample mean weight being above the weight limit, which is a high probability, meaning that the elevator does not appear to have the correct weight limit

8 0

3 years ago

Factor by grouping.<br><br> ab -7a + 6b -42

Firdavs [7]

B(a+6) -7(a+6)
(b-7)(a+6)

6 0

3 years ago