All categories

3 years ago

At the end of the season, Erica's basketball team has a win-to-loss ratio of 3:2

Mathematics

2 answers:

Leya [2.2K]3 years ago

8 0

Answer:

A: 3:5

B: Yes because 3 plus two is five

Dovator [93]3 years ago

3 0

Answer:

A) win : game played = 3 : 5

B) No, it only implies that for every 5 games played by Erica's team, they win 3 and loss 2.

Step-by-step explanation:

A) Since the ratio of win to loss = 3:2

Therefore ratio of total game played will be sum of the ratio of win and loss i.e 3+2 = 5

So ratio of wins to game played

win : game played = 3 : 5

B) No, I cannot use the ratio to conclude that the total number of games Erica's team played in one season is 5, why? because it only implies that for every 5 games played by Erica's team, they win 3 of the 5 games and loss 2 of the 5 games.

You might be interested in

shutvik [7]

I believe the answer is y= -3

3 0

2 years ago

Read 2 more answers

Simplify : 5y-2y+4=10

Mnenie [13.5K]

Answer:

See below.

Step-by-step explanation:

5y - 2y + 4 = 10

5y - 2y = 6

3y = 6

y = 2

Check:

5y - 2y + 4 = 10

5(2) - 2(2) + 4 = 10

10 - 4 + 4 = 10

6 + 4 = 10

10 = 10

The value of y = 2

7 0

2 years ago

Read 2 more answers

What is the interquartile range of the following data set? 3,8, 14, 19, 22, 29, 33, 37, 43, 49. A. 26 B. 23 C. 19 D. 18

Fynjy0 [20]

Answer:

I think the answer is B.23

8 0

3 years ago

An isosceles triangle has a perimeter of 33 cm. The unequal side has a length 3 cm more than the equal side. Find the length of

grigory [225]

Answer:

let equal side=x

unequal side=x+3

perimeter =33

x+x+x+3=33

3x=30

x=10

x+3=10+3

6 0

3 years ago

Suppose that birth weights are normally distributed with a mean of 3466 grams and a standard deviation of 546 grams. Babies weig

Anon25 [30]

Answer:

3.84% probability that it has a low birth weight

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:

$\mu = 3466, \sigma = 546$

If we randomly select a baby, what is the probability that it has a low birth weight?

This is the pvalue of Z when X = 2500. So

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

$Z = \frac{2500 - 3466}{546}$

$Z = -1.77$

$Z = -1.77$ has a pvalue of 0.0384

3.84% probability that it has a low birth weight

3 0

3 years ago