Tell me who this is but dont look it up

Mathematics

2 answers:

Assoli18 [71]3 years ago

7 0

Answer:

Hello and welcome to Brainly! I'm Gabriella and I'm a part of the Engagement team on Brainly. Thank you for posting your first question! I hope you enjoy your time here on Brainly! If you have any questions about navigating and understanding the Brainly website, don't hesitate to reach out to me or anyone else on the Engagement team!

Step-by-step explanation:

Sonbull [250]3 years ago

5 0

Answer:

soobin

Step-by-step explanation:

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If you put $10 in a savings account at the beginning of each month for 15 years, how much money will be in the account at the en

Vika [28.1K]

After 10 years, there will have been 120 deposits. The last one earns 12%/12 = 1% interest, so is mutipied by 1.01. The one before is multiplied by 1.01². Overall, you have the sum of a geometric series of 120 terms with first term 10.10 and common ratio 1.01. That sum is given by the general formula
Sn = a1·(r^n -1)/(r -1)
S120 = 10.10(1.01^120 -1)/(1.01 -1)
S120 = 1010·2.30038689 ≈ 2323

At the end of the 10th year (before the first deposit of the 11th year), the account balance will be
$2,323

6 0

4 years ago

D. 3h =

vfiekz [6]

Answer: e. 2h + 3 = 10; h = 3.5h

Explanation:

Jane can run 2 miles per hour. (2h)

He need to run 10 miles in total and has done 3 so far. (+ 3 = 10)

The equation can be written:

2h + 3 = 10
2h = 7
h = 7/2 = 3.5

8 0

3 years ago

I would appreciate it a lot

Volgvan

Answer:

Step-by-step explanation:

f(x) = Price

2.00 = Price of one ride

x = number of times ridden

f(x) = 2x

3 0

3 years ago

Read 2 more answers

The average amount of water in randomly selected 16-ounce bottles of water is 16.15 ounces with a standard deviation of 0.45 oun

vekshin1

Answer:

0.0179 = 1.79% probability that the mean of this sample is less than 15.99 ounces of water.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution

When the distribution is normal, we use 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.

Central Limit Theorem

The Central Limit Theorem estabilishes that, for a normally distributed random variable X, with mean $\mu$ and standard deviation $\sigma$ , the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean $\mu$ and standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .