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Ugo [173]
3 years ago
13

Select the least common multiple of 6 and 8. OA 2 OB: 14 O C. 24 OD. 48​

Mathematics
2 answers:
Len [333]3 years ago
8 0

Answer:

OB.14

Step-by-step explanation:

I didn't know that that was even a multiple of 6and 8

SashulF [63]3 years ago
8 0

Answer:

C. 24

Step-by-step explanation:

The LCM is the least common multiple between two or more numbers.

6: 6, 12, 18, 24, 30, 36, 48, 54

8: 8, 16, 24, 32, 40, 48, 54, 64

24 is the smallest number both numbers have in common.

Therefore, 24 is the least common multiple.

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A sample survey is designed to estimate the proportion of sports utility vehicles being driven in the state of California. A ran
mart [117]

Answer:

a) The 95% confidence interval would be given (0.070;0.121).

b) "increase the sample size n"

"decrease za/2 by decreasing the confidence"

Step-by-step explanation:

Notation and definitions

X=48 number of vehicles classified as sports utility.

n=500 random sample taken

\hat p=\frac{48}{500}=0.096 estimated proportion of vehicles classified as sports utility vehicles.

p true population proportion of vehicles classified as sports utility vehicles.

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{\hat p(1-\hat p)}{n}})

(a) Use a 95% confidence interval to estimate the proportion of sports utility vehicles in California. (Round your answers to three decimal places.)

The confidence interval would be given by this formula :

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

For the 95% confidence interval the value of \alpha=1-0.5=0.05 and \alpha/2=0.025, with that value we can find the quantile required for the interval in the normal standard distribution.

z_{\alpha/2}=1.96

And replacing into the confidence interval formula we got:

0.096 - 1.96 \sqrt{\frac{0.096(1-0.096)}{500}}=0.070

0.096 + 1.96 \sqrt{\frac{0.096(1-0.096)}{500}}=0.121

And the 95% confidence interval would be given (0.070;0.121).

We are confident (95%) that about 7.0% to 12.1% of vehicles in California are classified as sports utility .  

(b) How can you estimate the proportion of sports utility vehicles in California with a higher degree of accuracy? (HINT: There are two answers. Select all that apply.)

For this case we just have two ways to increase the accuracy one is "increase the sample size n" since if we have a larger sample size the estimation would be more accurate. And the other possibility is "decrease za/2 by decreasing the confidence" because if we decrease the confidence level the interval would be narrower and accurate

7 0
3 years ago
Help again please?............
zheka24 [161]
18.72
so the answer is d
4 0
3 years ago
Write a word phrase for p - 4
andrew11 [14]
Four less than p.
Is that correct?
8 0
3 years ago
Read 2 more answers
How do you this problem?
Hunter-Best [27]

Answer:

8

Step-by-step explanation:

4 0
3 years ago
Read 2 more answers
2x^2 + 3 + 3x - 1 please help its combing like terms​
Aliun [14]

Answer:

2x^2 + 3x + 2

Step-by-step explanation:

Like terms must have exactly the same variables and exponents on the variables.

2x^2 is not a like term to any other term, so it cannot be combined.

3x is not a like term to any other term, so it cannot be combined.

3 and -1 have no variable, so they are like terms and can be combined.

2x^2 + 3 + 3x - 1 =

= 2x^2 + 3x + 3 - 1

= 2x^2 + 3x + 2

4 0
3 years ago
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