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larisa [96]
1 year ago
8

The regular price of an item at store is $2000 if the sale price is $1,120, what percent is the discount

Mathematics
1 answer:
Pachacha [2.7K]1 year ago
7 0

Answer:

44%

Step-by-step explanation:

Solution:

Calculate percentage change

from V1 = 2000 to V2 = 1120

(V2−V1)|V1|×100

=(1120−2000)|2000|×100

= −8802000×100

= −0.44×100

= −44%change

= 44%decrease

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Lady_Fox [76]

Answer:

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

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.

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

Proportion of 0.6

This means that p = 0.6

Sample of 46

This means that n = 46

Mean and standard deviation:

\mu = p = 0.6

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.6*0.4}{46}} = 0.0722

Probability of obtaining a sample proportion less than 0.5.

p-value of Z when X = 0.5. So

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

By the Central Limit Theorem

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

Z = \frac{0.5 - 0.6}{0.0722}

Z = -1.38

Z = -1.38 has a p-value of 0.0838

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

8 0
3 years ago
(x + 3)(x + 7) ≡ x2 + ax + 21
Over [174]
The answer is c. Hope this helps
4 0
3 years ago
Suppose you buy 2 marbles for $0.16 each. You pay for it with 4 quarters. How much change should you get back? Enter your answer
Afina-wow [57]

Answer: You should get 0.68 back

Step-by-step explanation: I just did a test and got 100%

7 0
3 years ago
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Help! I will give brainliest!!!!
Strike441 [17]

Answer:

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Step-by-step explanation:

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4 0
2 years ago
During the 2005 football​ season, Team Tackle beat Team Sack by 6 points. If their combined scores totaled 60​, find the individ
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2x+6=60

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8 0
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