HELP ME ASAP!!! Why is this wrong?

A city has a population of 2.8 million people. 45% of the population are male. How many females live in the city?

Sidana [21]

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Solution,

Total population:2800000

Total population of males in percent=45%

total population of females in percent=100%-45%=55%

 

Total number of females= 55% of 2800000

 =1540000

Hope it helps..

Good luck on your assignment

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6 0

3 years ago

Eddie opens a bank account with $1,000. Every year he doubles the amount of money in the account.

Sveta_85 [38]

Answer:

next year he'll add $2,000. to the bank account. the total amount would be $3,000.00

Step-by-step explanation:

$1,000.00 x 2 = $2,000.00 + $1,000.00 = $3,000.00

^w^

5 0

3 years ago

Meat costs $8.00 per pound at a store. What is the slope?

-BARSIC- [3]

Answer:

The slope is 8.

Step-by-step explanation:

If you were to graph the price of meat per pound, you would need to choose the x-axis and y-axis labels.

The x-axis is the independent variable, meat in pounds.

The y-axis is the dependent variable, price in dollars.

The price depends on the number of pounds you buy.

Slope is calculated using rise over run, or:

$m = \frac{rise}{run}$

"Rise" is the number of squares going up.

"Run" is the number of squares going to the right.

In the graph below, to go from one red dot to the next, you count 1 to the right and 8 going up.

$m = \frac{rise}{run}$

$m = \frac{8}{1}$

$m=8$

Therefore, the slope is 8.

8 0

3 years ago

Read 2 more answers

A cab charges the following fare for each trip.

trasher [3.6K]

Answer:

$9.78

Let's be honest, you only need an answer right?

6 0

3 years ago

4. Amazon executives believe that at least 70% of customers would return a product 2 days after it arrives at their home. A samp

inysia [295]

Using the normal distribution and the central limit theorem, it is found that there is a 0.1635 = 16.35% probability of a sample result with 68% or fewer returns prior to the third day.

In a normal distribution with mean $\mu$ and standard deviation $\sigma$ , the z-score of a measure X is given by:

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

It 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, which is the percentile of X.
By the Central Limit Theorem, for a proportion p in a sample of size n, the sampling distribution of sample proportions has mean $\mu = p$ and standard error $s = \sqrt{\frac{p(1 - p)}{n}}$