126x(27238)+362x\9876(343+521-6+963)
=3431988+362x9876(1821)
=3431988+6510278952
=6513710940

hopefully I get it right lol...that's the largest out come I've ever seen..

3 0

3 years ago

A tank is 4/5 full of water. If 40 gal more water are needed to fill the tank completely, find the capacity of the tank.

weqwewe [10]

200 gallons
5/5-4/5=1/5
1/5=40 gallon
40x5=200 gallon

3 0

4 years ago

IS IT (A , B ) CAN SOMEONE HELP PLEASE !!!!!!!!!!!!!!!!!

andriy [413]

Answer: 1% is your answer

It's (1/100) * 100 or 1% is the percentage strength of a 1:100 solution.

Step-by-step explanation:

l NOTE:

l To change ratio strength to percent strength, it is

sometimes convenient to "convert" the last two zeros in

a ratio strength to a percent sign (%),

l change the remaining ratio to a common fraction, and

then to a decimal fraction in expressing percent.

l Examples:

l 1:100 =1/1% = 1%

l 1:200 = ½% = 0.5%

l 3:500 = 3/5% = 0.6%

l 1:2500 = l/25% = 0.04%

l 1:10,000 = 1/100% = 0.01%

8 0

2 years ago

According to a recent publication, the mean price of new mobile homes is $63 comma 800. Assume a standard deviation of $7900.

wolverine [178]

Answer:

a. For n=25, the mean and standard deviation of the prices of the mobile homes all possible sample mean prices are $63,800 and $1,580, respectively.

b. For n=50, the mean and standard deviation of the prices of the mobile homes all possible sample mean prices are $63,800 and $1,117, respectively.

Step-by-step explanation:

In this case, for each sample size, we have a sampling distribution (a distribution for the population of sample means), with the following parameters:

$\mu_s=\mu=63,800\\\\\sigma_s=\sigma/\sqrt{n}=7,900/\sqrt{n}$

For n=25 we have:

$\mu_s=\mu=63,800\\\\\sigma_s=\sigma/\sqrt{n}=7,900/\sqrt{25}=7,900/5=1,580$

The spread of the sampling distribution is always smaller than the population spread of the individuals. The spread is smaller as the sample size increase.

This has the implication that is expected to have more precision in the estimation of the population mean when we use bigger samples than smaller ones.

If n=50, we have:

$\mu_s=\mu=63,800\\\\\sigma_s=\sigma/\sqrt{n}=7,900/\sqrt{50}=7,900/7.07=1,117$

4 0

4 years ago