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3 years ago

Convert 0.78 meters to milimeters

Mathematics

2 answers:

sergij07 [2.7K]3 years ago

4 0

I think you multiply by 1000 since 1 meters is 1000 milimeters

lyudmila [28]3 years ago

3 0

The answer you are looking for is 780 millimeters

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A lot of 100 semiconductor chips contains 15 that are defective. three chips are selected at random from the lot without replace

Alex787 [66]

D=event that chip selected is defective
d=event that chip selected is NOT defective

Four possible scenarios for the first two selections:
P(DDD)=15/100*14/99*13/98=13/4620
P(DdD)=15/100*85/99*14/98=17/924
P(dDD)=85/100*15/99*14/99=17/924
P(ddD)=85/100*84/99*15/98=17/154

Probability of third selection being defective is the sum of all cases,
P(XXD)=P(DDD)+P(DdD)+P(dDD)+P(ddD)
=3/20

5 0

3 years ago

3. Using the sample size of 800 and the proportion 0.47, calculate the margin of error associated with the estimate of the propo

salantis [7]

Answer:

$ME=1.96\sqrt{\frac{0.47 (1-0.47)}{800}}=0.0346$

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".

The population proportion have the following distribution

$p \sim N(p,\sqrt{\frac{p(1-p)}{n}})$

Solution to the problem

We assume for this case a confidence level of 95%. In order to find the critical value we need to take in count that we are finding the interval for a proportion, so on this case we need to use the z distribution. Since our interval is at 95% of confidence, our significance level would be given by $\alpha=1-0.95=0.05$ and $\alpha/2 =0.025$ . And the critical value would be given by:

$z_{\alpha/2}=-1.96, z_{1-\alpha/2}=1.96$

The confidence interval for the mean is given by the following formula:

$\hat p \pm z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}$

The margin of error for the proportion interval is given by this formula:

$ME=z_{\alpha/2}\sqrt{\frac{\hat p (1-\hat p)}{n}}$ (a)

And if we replace the values obtained we got this:

$ME=1.96\sqrt{\frac{0.47 (1-0.47)}{800}}=0.0346$

6 0

3 years ago

PLEASE HELP ME!!!!!!!! I CANT GET IT! PLEASE HELP QUICKLY!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!

emmainna [20.7K]

You answer would be 27, if I did my maths correct.

You get 27 by doing:

9*4=36

36-9=27

Correct me if I am wrong thank you!

5 0

2 years ago

Read 2 more answers

FI have no points left please answer, FLIP THE IMAGE OVER PLS

Nezavi [6.7K]

Answer:

Step-by-step explanation:

b. 1000 messages: 30 dollars

1,725 messages: 51.75

c. 2,000

2,500

600

b. 37.5

I cant do the rest because they have graph stuff :)

8 0

3 years ago

9.88+(6,7-x) = 2,6 please help

ddd [48]

Hello

First you have to remove your parenthesis and since there is a “+” in front of the parenthesis, the expressions remain the same. So:
9.88+6.7-x = 2,6

Now, you have to add the numbers. So:
16.58-x = 2,6

Next, you have to move the constant (x) to the right and change its sign since it changes side. So:
-x = 2,6-16,58

Now, calculate the difference:
-x = 13,98

And lastly, change the signs on both sides of the equation since - + - equals +. So:
x = 13,98

Hope you found this helpful
Have a good day

8 0

3 years ago