All categories

3 years ago

Which of the statements about the right rectangular prism shown is FALSE?

Mathematics

1 answer:

Murrr4er [49]3 years ago

4 0

Answer: None

Reason:why not

Cause:not sure

Time: Decreased

Psst

The answer is… I think that this swyk is just practice but I’m not sure so do your best!

You might be interested in

57/95 simplifly form

pychu [463]

57/95 simplified would be 3/5

7 0

4 years ago

Read 2 more answers

Write an equation of the line that is perpendicular to the given line and that passes through the given point. y = −4x + 2; (−4,

torisob [31]

Y=1/4x-2 would be the equation for the line perpendicular to that line and crosses through that ordered pair!

8 0

3 years ago

Which table of ordered pairs represents a proportional relationship?

bogdanovich [222]

Answer:

Third table

Step-by-step explanation:

For the relationship to be proportional

y/x = constant

First table y/x = 8/4 = 2 then 7/11 doesn't =2 so it is not

Second table y/x =52/5 = 5 then 49/7 doesn't =5 so it is not

Third table y/x = 3/6=1/2 then 5/10 = 1/2 then 7/14 = 1/2 it is proportional

Last table y/x = 6/3 = 2 then 11/8 doesn't =2 so it is not

7 0

3 years ago

3000 millimeters equals how many meters

Zielflug [23.3K]

In 1 meter there are 1,000 millimeter.

When you go from small (mm) to big (m) you always divide the small (mm) by what the equivalent of 1 big (m) but in terms of the small (mm)

^^^That's a bit confusing so I will work it out so it makes more sense...

$3,000 / 1,000$

^ this is the equivalent to 1 meter (the big in this case)

3 m = 3,000 mm

Hope this helped! Let me know if there is anything else that I can do!

4 0

3 years ago

Read 2 more answers

A very large batch of parts (assume a normal distrbution0 from a manufacturer has a mean weight = 43g and a standard deviation =

AVprozaik [17]

Answer:

5.44% probability that exactly 8 of the 16 parts you selected will have weights exceeding 45g

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal probability distribution:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean $\mu$ and standard deviation $\sigma$ , the zscore of a measure X is given by:

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

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

Binomial probability distribution:

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$

In which $C_{n,x}$ is the number of different combinations of x objects from a set of n elements, given by the following formula.

$C_{n,x} = \frac{n!}{x!(n-x)!}$

And p is the probability of X happening.

Percentage of parts with weights exceeding 45g?

1 subtracted by the pvalue of Z when X = 45. So

We have $\mu = 43, \sigma = 4$

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

$Z = \frac{45 - 43}{4}$

$Z = 0.5$

$Z = 0.5$ has a pvalue of 0.6915

1 - 0.6915 = 0.3075

If you slect 16 parts at random form that batch, what is the probability that exactly 8 of the 16 parts you selected will have weights exceeding 45g?

This is P(X = 8) when n = 16, p = 0.3075. So

$P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}$

$P(X = 8) = C_{16,8}.(0.3075)^{8}.(0.6915)^{8} = 0.0544$

5.44% probability that exactly 8 of the 16 parts you selected will have weights exceeding 45g

4 0

3 years ago