Which of the following is equal to 0.001 liter?

On the blueprint of a house, 36 millimeters represents 7 meters. The length of the living room is 27 millimeters on the blueprin

S_A_V [24]

36/27=1.3
7x1.3=9.1
The actual length is 9.1meters

7 0

4 years ago

In your biology class, your final grade is based on several things: a lab score, scores on two major tests, and your score on th

Artemon [7]

Answer:

72.51

Step-by-step explanation:

Given that :

Lab score % = 23%

Each Major test % = 22.5%

Final exam % = 32%

Score :

Lab score = 96

First Major test = 64

Second major test = 62

Final exam = 69

Hence,

Weighted average = Σ(weight % * score)

Weighted average = Σweight_1*score_1 +.. Weight_n * score_n)

(0.23 * 96) + (0.225 * 64) + (0.225 * 62) + (0.32 * 69) = 72.51

3 0

3 years ago

Which expressions are differences of squares? Select each correct answer

garri49 [273]

For this ones the second value is always negative so A is not correct. Also they have to have an exact square root which 50 doesn't. So the answers are B and C
(a-6)(a+6)
(w-11)(w+11)

4 0

3 years ago

Read 2 more answers

Round to the nearest whole number 3.713 divided by 0.413

babunello [35]

After the division, we get 8.99031476998. This rounds to <u>9</u> as a whole number, which is the answer.

When rounding to a whole number, the digits following the decimal decide what number it rounds to. If it is 0-4 it rounds to whatever the whole number currently is E.G.

8.1 would round to 8

But if its 5-9 it rounds to one above, like in our current case.

8.5 rounds to 9.

42.414 rounds to 42.

42.94149124 rounds to 43.

7 0

4 years ago

A study of the amount of time it takes a mechanic to rebuild the transmission for a 1992 Chevrolet Cavalier shows that the mean

EastWind [94]

Using the normal distribution, it is found that 7.64% of of sample means are greater than 8.8 hours.

<h3>Normal Probability Distribution</h3>

The z-score of a measure X of a normally distributed variable with mean $\mu$ and standard deviation $\sigma$ is given by:

$Z = \frac{X - \mu}{\sigma}$

The z-score measures how many standard deviations the measure is above or below the mean.

Looking at the z-score table, the p-value associated with this z-score is found, which is the percentile of X.

By the Central Limit Theorem, the sampling distribution of sample means of size n has standard deviation $s = \frac{\sigma}{\sqrt{n}}$ .

The parameters are given as follows:

$\mu = 8.4, \sigma = 1.77, n = 40, s = \frac{1.77}{\sqrt{40}} = 0.2799$

The proportion of sample means greater than 8.8 hours is <u>one subtracted by the p-value of Z when X = 8.8</u>, hence:

$Z = \frac{X - \mu}{\sigma}$

By the Central Limit Theorem

$Z = \frac{X - \mu}{s}$

$Z = \frac{8.8 - 8.4}{0.2799}$

Z = 1.43

Z = 1.43 has a p-value of 0.9236.

1 - 0.9236 = 0.0764.

7.64% of of sample means are greater than 8.8 hours.

More can be learned about the normal distribution at brainly.com/question/25800303

#SPJ1

6 0

2 years ago