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madreJ [45]
3 years ago
12

Please you can help me with this question # 31. Thanks

Mathematics
1 answer:
stiv31 [10]3 years ago
7 0
1.29 + (2.19 - 0.45) + 4.39 + 2.79 + 4.89 = 15.10
she only used 2 coupons...the one for eggs and the one for free bagels because she bought the bacon. So I took off 0.45 from the eggs, and the bagels were free because she bought the bacon.
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Hate math to be honest
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Could you take a little bit clear picture? :)
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3 years ago
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The Office of Student Services at a large western state university maintains information on the study habits of its full-time st
Vera_Pavlovna [14]

Answer:

0.8254 = 82.54% probability that the mean of this sample is between 19.25 hours and 21.0 hours

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 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.

Mean of 20 hours, standard deviation of 6:

This means that \mu = 20, \sigma = 6

Sample of 150:

This means that n = 150, s = \frac{6}{\sqrt{150}}

What is the probability that the mean of this sample is between 19.25 hours and 21.0 hours?

This is the p-value of Z when X = 21 subtracted by the p-value of Z when X = 19.5. So

X = 21

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

By the Central Limit Theorem

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

Z = \frac{21 - 20}{\frac{6}{\sqrt{150}}}

Z = 2.04

Z = 2.04 has a p-value of 0.9793

X = 19.5

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

Z = \frac{19.5 - 20}{\frac{6}{\sqrt{150}}}

Z = -1.02

Z = -1.02 has a p-value of 0.1539

0.9793 - 0.1539 = 0.8254

0.8254 = 82.54% probability that the mean of this sample is between 19.25 hours and 21.0 hours

3 0
3 years ago
A number is multiplied by 6 and the result is 48. Find the number.
eduard

Answer:

the answer is 8

Step-by-step explanation:

8x6=48

7 0
3 years ago
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How many centimetres is 0.7 inches? Round to the nearest tenth.
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it is 1.8 centimeters

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A cone has a radius of 6 inches and a height of 20 inches. What is the exact volume of the cone? A) 720π in3 B) 80π in3 C) 240π
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The answer is c. 240π
V=πr² h/3 =π×6²× 20/3 ≈753.98224
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4 years ago
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