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anygoal [31]
3 years ago
6

1. 929:21 What is 929 divided into 21 gives me?

Mathematics
1 answer:
Zanzabum3 years ago
5 0

Answer:

44.2381

Step-by-step explanation:

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I really need help fast
xenn [34]

Answer:

Tom jogged farther.

Step-by-step explanation:

2 1/2 + 3 1/8 = 5 5/8   5 6/8 would be equalt to 5 3/4 but since it isn't 5 3/4 is farther.    

Tom jogged 1/8 farther.

6 0
3 years ago
500th term of 24,31,38,45,52
tensa zangetsu [6.8K]
This looks like a simple arithmetic series. Each term is 7 greater than the previous term.

Therefore, the Nth term is 17 + 7N. 

For example, the first term is 17 + 7*1 = 17 + 7 = 24.

The second term is 17 + 7*2 = 17 + 14 = 31

etc...

And the 500th term is 17 + 7 * 500 = 17 + 3500 = 3517
3 0
3 years ago
If √6 is the geometric mean between 4 and another number, then the number is
joja [24]
If you have two numbers x, y.  The geometric mean is:  √xy

For 4 and x.  Geometric Mean =  √4x  and this is equal to √6

             √4x  =  √6     Square both sides.  The square root disappears.

               4x = 6 
                 x  = 6/4 = 3/2 = 1.5

The other number is 1.5.

 
4 0
3 years ago
X^2+xy=20 and y^2+xy=30 what is xy?
Pie
Its got to be number1 
3 0
3 years ago
5. X is a normally distributed random variable with a mean of 8 and a standard deviation of 4. This can be written as N(8,4). Th
xz_007 [3.2K]

Answer:

The probability that X is between 1.48 and 15.56 is P(1.48 \leq X \leq 15.56) = 0.919

Step-by-step explanation:

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 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.

X is a normally distributed random variable with a mean of 8 and a standard deviation of 4.

This means that \mu = 8, \sigma = 4

The probability that X is between 1.48 and 15.56

This is the pvalue of Z when X = 15.56 subtracted by the pvalue of Z when X = 1.48. So

X = 15.56

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

Z = \frac{15.56 - 8}{4}

Z = 1.89

Z = 1.89 has a pvalue of 0.9706

X = 1.48

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

Z = \frac{1.48 - 8}{4}

Z = -1.63

Z = -1.63 has a pvalue of 0.0516

0.9706 - 0.0516 = 0.919

Write out the probability notation for this question.

P(1.48 \leq X \leq 15.56) = 0.919

The probability that X is between 1.48 and 15.56 is P(1.48 \leq X \leq 15.56) = 0.919

5 0
3 years ago
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