Which list shows these numbers in order from least to greatest?

Find the quotient of 3,976 ÷ 28 = ________. Use the partial quotients strategy to help you.

scZoUnD [109]

Answer:

142

Step-by-step explanation:

Hope this helps

8 0

2 years ago

Olivia is cutting 1 1/2 m by 3/4 m pieces of rectangular paper in the two pieces along its diagonal What is the area of each of

Ostrovityanka [42]

Answer: 2 1/4

Step-by-step explanation:

Convert both to same denominators and mixed numbers

1 1/2 = 1 2/4 = 6/4

3/4 = 3/4

3/4*6/4 = 18/16

Simplify: 9/4 = 2 1/4

3 0

3 years ago

Solve each system of equation by grapthing y= -2x-4 y=1/2x+1

Sonja [21]

The solution point where the two lines intersect is (-2,0).

For online graphing, I like to use Desmos Online Graphing Calculator. It is a very useful tool. Hope my answer helps!

5 0

3 years ago

The National Institute of Standards and Technology (NIST) supplies "standard materials" whose physical properties are supposed t

Lady bird [3.3K]

Answer:

$10.08-1.64\frac{0.1}{\sqrt{6}}=10.013$

$10.08+1.64\frac{0.1}{\sqrt{6}}=10.147$

So on this case the 90% confidence interval would be given by (10.013;10.147)

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".

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

$\mu$ population mean (variable of interest)

$\sigma =0.1$ 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)

In order to calculate the mean and the sample deviation we can use the following formulas:

$\bar X= \sum_{i=1}^n \frac{x_i}{n}$ (2)

$s=\sqrt{\frac{\sum_{i=1}^n (x_i-\bar X)}{n-1}}$ (3)

The mean calculated for this case is $\bar X=10.08$

Since the Confidence is 0.90 or 90%, the value of $\alpha=0.1$ and $\alpha/2 =0.05$ , and we can use excel, a calculator or a tabel to find the critical value. The excel command would be: "=-NORM.INV(0.05,0,1)".And we see that $z_{\alpha/2}=1.64$