9 people shared 6 subs equally how much each person get

Multiply. Enter the product in simplest form.<br> uIN<br> =<br> 9/10 multiplied 2/5

natali 33 [55]

Answer:

When multiplying fractions, multiply the top number by the top number, and the bottom number by the bottom number.

So we have: (9x2)/(10x5).

This simplifies to: 18/50, or 9/25.

Let me know if this helps!

5 0

3 years ago

The probability of waiting 4 minutes or longer for checkout at a particular supermarket counter is 0.1. On a given day, a man an

Vedmedyk [2.9K]

Answer:

Step-by-step explanation:

Hope this photo will find you well

Good day!

3 0

3 years ago

The mean points obtained in an aptitude examination is 159 points with a standard deviation of 13 points. What is the probabilit

Korolek [52]

Answer:

0.4514 = 45.14% probability that the mean of the sample would differ from the population mean by less than 1 point if 60 exams are sampled

Step-by-step explanation:

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

Normal probability distribution:

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.

Central limit theorem:

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