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azamat
3 years ago
15

Max has x dollars. Keisha has four more dollars than Max.

Mathematics
2 answers:
viva [34]3 years ago
8 0
The answer is A) if there is not a answer for  x+4

Mice21 [21]3 years ago
7 0

Answer:

None of the option is correct.

Step-by-step explanation:

Given : Max has x dollars. Keisha has four more dollars than Max.

To find : What are the expressions ?

Solution :

Max has x dollars.

The expression is 'x'

Keisha has four more dollars than Max.

The expression is 'x+4'

The total amount of money Keisha and Max have together is given by,

A=x+x+4

A=2x+4

None of the option is correct.

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Find the value for the variable expression p + 5 when p = 2.
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If a linear function has the points ​(0​,1​) and ​(5​,8​) on its​ graph, what is the rate of change of the​ function?
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The sum of two consecutive odd integers is at least 16
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5 0
3 years ago
Suppose that the sitting​ back-to-knee length for a group of adults has a normal distribution with a mean of mu equals 24.4 in.
solong [7]

Answer:

P(X \geq 26.6) = 0.0336, which is greater than 0.01. So a back-to-knee length of 26.6 in. is not significantly high.

Step-by-step explanation:

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.

In this problem, we have that:

\mu = 24.4, \sigma = 1.2

In this problem, a value x is significantly high if:

P(X \geq x) = 0.01

Using these​ criteria, is a​ back-to-knee length of 26.6 in. significantly​ high?

We have to find the probability of the length being 26.6 in or more, which is 1 subtracted by the pvalue of Z when X = 26.6. So

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

Z = \frac{26.6 - 24.4}{1.2}

Z = 1.83

Z = 1.83 has a pvalue of 0.9664.

1 - 0.9664 = 0.0336

P(X \geq 26.6) = 0.0336, which is greater than 0.01. So a back-to-knee length of 26.6 in. is not significantly high.

6 0
3 years ago
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