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Rashid [163]
3 years ago
6

How many of the Abelian Group properties hold for the Rubik's cube?

Mathematics
2 answers:
ollegr [7]3 years ago
8 0
D
Step-by-step-explanation
Alchen [17]3 years ago
8 0
B
That’s the answer anyway
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Area= 77in
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A diagonal shortcut across a rectangular lot is a 100 feet the lot is 60 feet wide what is the length of the lot
Alexandra [31]

Da answer should be A. 40 feet hope it's da right answer


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4 years ago
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The amount of coffee that a filling machine puts into an 8 dash ounce 8-ounce jar is normally distributed with a mean of 8.2 oun
Inessa [10]

Answer:

73.3% probability that the sampling error made in estimating the mean amount of coffee for all 8 dash ounce 8-ounce jars by the mean of a random sample of 100​ jars, will be at most 0.02​ ounce

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theore.

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 question, we have that:

\mu = 8.2, \sigma = 0.18, n = 100, s = \frac{0.18}{\sqrt{100}} = 0.018

What is the probability that the sampling error made in estimating the mean amount of coffee for all 8 dash ounce 8-ounce jars by the mean of a random sample of 100​ jars, will be at most 0.02​ ounce

That is, probability of the sample mean between 8.2-0.02 = 8.18 and 8.2 + 0.02 = 8.22, which is the pvalue of Z when X = 8.22 subtracted by the pvalue of Z when X = 8.18.

X = 8.22

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

By the Central Limit Theorem

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

Z = \frac{8.22 - 8.2}{0.018}

Z = 1.11

Z = 1.11 has a pvalue of 0.8665.

X = 8.18

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

Z = \frac{8.18 - 8.2}{0.018}

Z = -1.11

Z = -1.11 has a pvalue of 0.1335.

0.8665 - 0.1335 = 0.7330

73.3% probability that the sampling error made in estimating the mean amount of coffee for all 8 dash ounce 8-ounce jars by the mean of a random sample of 100​ jars, will be at most 0.02​ ounce

6 0
3 years ago
Solve for x! , Please answer!!
tatuchka [14]

Answer:

Value of x = -7

Step-by-step explanation:

Given:

First angle = 83°

Second angle = 24°

Third angle = (38 - 5x)°

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Value of x

Computation:

We know that sum of all interior angle in triangle is 180°

So,

83 + 24 + 38 - 5x = 180

145 - 5x = 180

-5x = 35

x =  -7

Value of x = -7

7 0
3 years ago
Simplify 2 + 3/5x - 1 - 1/5x​
balu736 [363]

Answer:

2/5x +1

Step-by-step explanation:

if you combine like terms you can check me to see if i'm right :) have a good day!

6 0
3 years ago
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