Can you please help me figure out how the answer is 1/9 im getting 9

9. Tobias ran 3 miles. How many millimeters did he run? (1 mile = 1,610 meters)

Gekata [30.6K]

Welcome to Brainly! I'm happy to help!

We see that there are 1,610 meters in a mile. However, we are looking for millimeters, not meters. But, knowing the meters will help us out.

A millimeter is a very small measurement. There are 1,000 millimeters in 1 meter. A meter is much larger. So, if we want to convert 1,610 meters to millimeters, there are going to be way more millimeters because they are so minute.

This means that we will have to multiply. We know that there are 1,000 millimeters in 1 meter, so if we multiply our meters by 1,000 (which is basically just adding 3 zeros), we will get the number of millimeters in one mile!

1,610×1,000=1,610,000 (one million six hundred and ten thousand!)

Don't forget that we are looking for 3 miles though, so we can take the number of millimeters in one mile and multiply by three.

1,610,000×3=4,830,000 (four million eight hundred and thirty thousand!)

So, Tobias ran 4,830,000 millimeters!

Have a wonderful day and keep on learning! :D

7 0

2 years ago

¿Cómo es esto?, Plisssssssssss ayuda

mel-nik [20]

Answer

I think it is number 5

Step-by-step explanation:

6 0

2 years ago

Help! I need this for tomorrow!

Masja [62]

1. 1/2- you count the total (8) and then count the two and all the numbers greater than 5( don’t count 5) that is 4 so it would be 4/8 simplified to 1/2

2. 1/2- count the total (still 8) and how many prime numbers there are (4- 2,3,5, and 7) the answer is 4/8 simplified to 1/2

4 0

3 years ago

A basketball coach kept stats for his team in free throw percentage and steals (among others). At the last game, Erin's free thr

Setler79 [48]

Answer:

Due to the higher z-score, she did better in the free throw category.

Step-by-step explanation:

Z-score:

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 question:

She did better in the category that she had the higher z-score:

Free-throws:

Her free throw percentage was 79%, which means that $X = 79$