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3 years ago

12

A computer code is based on the prime factorization of 160.Find the prime factorization of 160

1 answer:

lilavasa [31]3 years ago

8 0

Ndhdjjdjdjshduhdjskakksjdnfbbfbbnfbbbdbdvdbdbbdbdbfhf

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the sales tax in your city is 4.4% and an item costs 3$ before tax how much tax will you pay on that item

Mashcka [7]

Answer:

$3.13

Step-by-step explanation:

3 x 1.044 = 3.132

3 0

3 years ago

svet-max [94.6K]

D.) <span>A picnic table is on sale for 40 percent off. The original price of the picnic table is x, $144.10

It is on sale for 40% so, new amount will be 60%, and x is the sale price, so in order to calculate original price, you have to multiply them

Hope this helps!</span>

8 0

3 years ago

Find the Slope:

AveGali [126]

Answer:

4) slope= 0

5) $slope = - \frac{1}{7}$

Step-by-step explanation:

$\boxed{ slope = \frac{y _{2} - y_1 }{x_2 - x_1} }$

4) Slope

$= \frac{10 - 10}{ - 10 - 3}$

$= \frac{0}{ - 13}$

= 0

The slope is zero as the line is a horizontal line (since both points have the same y-coordinate of 10).

5) Slope

$= \frac{5 - 4}{2 - 9}$

$= \frac{1}{ - 7}$

$= - \frac{1}{7}$

Since you have taken (x₁, y₁) to be (9, 4), the value of x₁ should be 9 instead of 2.

6 0

2 years ago

Read 2 more answers

A computer manufacturing company has sent a mail survey to 2,800 of its randomly selected customers that have purchased a new la

vodka [1.7K]

Answer:

The 96% confidence interval for the population proportion of customers satisfied with their new computer is (0.77, 0.83).

Step-by-step explanation:

We have to calculate a 96% confidence interval for the proportion.

We consider the sample size to be the customers that responded the survey (n=800), as we can not assume the answer for the ones that did not answer.

The sample proportion is p=0.8.

$p=X/n=640/800=0.8$

The standard error of the proportion is:

$\sigma_p=\sqrt{\dfrac{p(1-p)}{n}}=\sqrt{\dfrac{0.8*0.2}{800}}\\\\\\ \sigma_p=\sqrt{0.0002}=0.014$

The critical z-value for a 96% confidence interval is z=2.054.

The margin of error (MOE) can be calculated as:

$MOE=z\cdot \sigma_p=2.054 \cdot 0.014=0.03$

Then, the lower and upper bounds of the confidence interval are:

$LL=p-z \cdot \sigma_p = 0.8-0.03=0.77\\\\UL=p+z \cdot \sigma_p = 0.8+0.03=0.83$

The 96% confidence interval for the population proportion is (0.77, 0.83).

4 0

3 years ago

kumpel [21]

Divide by 1.8
x = around 35.56

6 0

3 years ago

Read 2 more answers