Triple the difference between 32 and 19

Noah has a total of 47 video games he only buys action games in sports games he has 21 warehousing in the sports games how many

kicyunya [14]

Question is not proper;Proper question is given below;

Noah has a total of 47 video games. he only buys action games and sports games. He has 21 more action games than sports games. how many action games, a, and sports games, s, does he own?

Answer:

Noah has 34 action games and 13 sports games.

Step-by-step explanation:

Given:

Total number of games he has = 47

Let the number of action games be 'a'.

Let the number of sports game be 's'.

So we can say that;

Total number of games he has is equal to sum of the number of action games and the number of sports games.

framing in equation form we get;

$a+s = 47 \ \ \ \ \ eqaution \ 1$

Also Given:

He has 21 more action games than sports games.

so we can say that;

$a=s+21 \ \ \ equation\ 2$

Now Substituting equation 2 in equation 1 we get;

$a+s=47\\\\s+21+s=47\\\\2s+21=47$

Subtracting both side by 21 we get;

$2s+21-21=47-21\\\\2s = 26$

Dividing both side by 2 we get;

$\frac{2s}{2}=\frac{26}{2}\\\\s=13$

Now Substituting the value of 's' in equation 2 we get;

$a=s+21=13+21=34$

Hence Noah has 34 action games and 13 sports games.

4 0

3 years ago

Find the Volume of the Pyramid

victus00 [196]

Answer:

75600

Step-by-step explanation:

7 0

4 years ago

The GRE is widely used to help predict the performance of applicants to graduate schools. The range of possible scores on a GRE

Lynna [10]

Answer:

a) 26.76% probability that a student in the psychology department has a score less than 480.

b) 69.73% probability that a student in the psychology department has a score between 480 and 730.

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 haev that:

$\mu = 544, \sigma = 103$