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3 years ago

14

0.042 divided by 5.6

2 answers:

abruzzese [7]3 years ago

3 0

.0075 is the answer when u duvide

Travka [436]3 years ago

3 0

the answer you get is 7.5^ -3

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Which of the following is NOT an internal factor of decision making? A. ethics B. emotions C. peer pressure D. attitude

spin [16.1K]

It's C. peer pressure

Since internal factors are your own feelings, emotions, attitude, conscience or ethics etc. basically your inner persona; but <u>peer pressure</u> is an <u>external factor</u> of anybody's influence on you (excluding your own self), like the people at school, work, your family, friends etc.

6 0

3 years ago

Can anyone please help me with questions 27 & 29 PLEASE

nataly862011 [7]

Answer:

Anser 29:Population density refers to the number of people who live in a defined land area (usually square miles or square kilometers). So, if two million people live in ten square miles, the population density is two hundred thousand people per square mile

Answer 29: 100,000 times per day, and about 35 million times in a year.And 60 to 100 times in a minute

Step-by-step explanation:

8 0

3 years ago

What is 3 2/3 x 3/5 ?

telo118 [61]

3 2/3 × 3/5

=> 11/3 × 3/5

=> 11/5

=> 2.2

so your answer is 2.2

3 0

3 years ago

The following six independent length measurements were made (in feet) for a line: 736.352, 736.363, 736.375, 736.324, 736.358, a

horrorfan [7]

Answer:

Assuming population data

$\sigma = \sqrt{0.000354}=0.0188$

Assuming sample data

$s = \sqrt{0.000425}=0.0206$

Step-by-step explanation:

For this case we have the following data given:

736.352, 736.363, 736.375, 736.324, 736.358, and 736.383.

The first step in order to calculate the standard deviation is calculate the mean.

Assuming population data

$\mu = \frac{\sum_{i=1}^6 X_i}{6}$

The value for the mean would be:

$\mu = \frac{736.352+736.363+736.375+736.324+736.358+736.383}{6}=736.359$

And the population variance would be given by:

$\sigma^2 = \frac{\sum_{i=1}^6 (x_i-\bar x)}{6}$

And we got $\sigma^2 =0.000354$

And the deviation would be just the square root of the variance:

$\sigma = \sqrt{0.000354}=0.0188$

Assuming sample data

$\bar X = \frac{\sum_{i=1}^6 X_i}{6}$

The value for the mean would be:

$\bar X = \frac{736.352+736.363+736.375+736.324+736.358+736.383}{6}=736.359$

And the population variance would be given by:

$s^2 = \frac{\sum_{i=1}^6 (x_i-\bar x)}{6-1}$

And we got $s^2 =0.000425$

And the deviation would be just the square root of the variance:

$s = \sqrt{0.000425}=0.0206$

6 0

3 years ago

Without diving, how can you tell that the quotient for 5873 ÷ 8 is greater than 700? Is the quotient less than 800?

Ad libitum [116K]

It’s 734.12 so I’m pretty sure it’s less than 800

8 0

3 years ago

Read 2 more answers