All categories

3 years ago

Eight chairs weigh 56 pounds. How much do 5 chairs weigh?

Mathematics

2 answers:

Leokris [45]3 years ago

7 0

The answer is 35 pounds because,
56 / 8=7 so 5x 7 =35 pounds

Aliun [14]3 years ago

3 0

The answer is 35 pounds because 56 divided by 8 equals 7. That means that one chair equals 7 ponds. To figure out how much 5 chairs weigh you would have to multiply 7by 5 and get 35 pounds. Hope this helped :)

You might be interested in

In the game of Pick-A-Ball without replacement, there are 10 colored balls: 3 red, 4 white, and 3 blue. The balls have been plac

Margarita [4]

Answer:A)0.27

B)0.78

Step-by-step explanation:

This is the probability of picking 2balls of same color.

P(RR)+Pr(WW)+Pr(BB)

3/10×2/9+4/10× 3/10+3/10 ×2/9=6/90+12/90+6/90=

24/90=4/15=0.27

B)if the first ball is not returned, then there are 9 balls left.

Then probability of same color will be

PrB+PrW+PrR

2/9+3/9+2/9=

7/9=0.78

8 0

3 years ago

With 1 ≤ |a| < 10 and N is an integer.

Elena-2011 [213]

So a times 10^n where 1≤|a|<10 and n is an integer is what i learned

so

a.
234=
2.34 times 100=
2.34 times 10²

b.
0.000052=
5.2 times 1/100000=
5.2 times 10⁻⁵

c.
-220000=
-2.2 times 100000=
-2.2 times 10⁵

d. ok, so just count the spaces moved to the left
-18.2 times 10⁻¹⁵

6 0

3 years ago

The U.S. Census Bureau conducts a study to determine the time needed to complete the short form. The Bureau surveys 200 people.

NISA [10]

Answer:

$8.2-2.58\frac{2.2}{\sqrt{18}}=6.86$

$8.2+2.58\frac{2.2}{\sqrt{18}}=9.54$

So on this case the 90% confidence interval would be given by (6.86;9.54) And the error is given by:

$ME= 2.58\frac{2.2}{\sqrt{18}} =1.338$

Step-by-step explanation:

Previous concepts

A confidence interval is "a range of values that’s likely to include a population value with a certain degree of confidence. It is often expressed a % whereby a population means lies between an upper and lower interval".

The margin of error is the range of values below and above the sample statistic in a confidence interval.

Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".

$\bar X=8.2$ represent the sample mean for the sample

$\mu$ population mean (variable of interest)

$\sigma=2.2$ represent the population standard deviation

n represent the sample size

Solution to the problem

The confidence interval for the mean is given by the following formula:

$\bar X \pm z_{\alpha/2}\frac{\sigma}{\sqrt{n}}$ (1)

Since the Confidence is 0.90 or 90%, the value of $\alpha=0.1$ and $\alpha/2 =0.005$ , and we can use excel, a calculator or a table to find the critical value. The excel command would be: "=-NORM.INV(0.005,0,1)".And we see that $z_{\alpha/2}=2.58$