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o-na [289]
4 years ago
14

Solve (x – 3)2 = 49. Select the values of x. –46 -4 10 52

Mathematics
2 answers:
Sveta_85 [38]4 years ago
6 0

Answer:

x = 27.5

Step-by-step explanation:

(x – 3)2 = 49

2x - 6 = 49

2x = 49 + 6

2x = 55

x = 55/2

x = 27.5

Musya8 [376]4 years ago
6 0
Answer of this equation:

x = 27.5
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Drupady [299]

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Step-by-step explanation:

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3 years ago
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Jennifer is at an amusement park, where roller coaster rides cost 5 tickets each and all other rides cost 3 tickets each. She ha
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3 years ago
We are told that the price of basket of fries is drawn from a normal distribution with mean 6 and standard deviation of 2. You w
Masja [62]

Answer:

32.64% probability that you would have enough money to pay for all five baskets of fries

Step-by-step explanation:

To solve this question, we have 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 sample means with size n can be approximated to a normal distribution with mean

In this problem, we have that:

\mu = 6, \sigma = 2, n = 5, s = \frac{2}{\sqrt{5}} = 0.8944

You want to get 5 baskets of fries but you only have $28 in your pocket. What is the probability that you would have enough money to pay for all five baskets of fries?

28/5 = 5.6

So this is the pvalue of Z when X = 5.6.

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

By the Central Limit Theorem

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

Z = \frac{5.6 - 6}{0.8944}

Z = -0.45

Z = -0.45 has a pvalue of 0.3264

32.64% probability that you would have enough money to pay for all five baskets of fries

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