MATHEMATICS COLLEGE

A researcher wishes to conduct a study of the color preferences of new car buyers. Suppose that 50% of this population prefers the color green. If 14 buyers are randomly selected, what is the probability that exactly 12 buyers would prefer green

Answers

Answer 1

Answer:

Answer:

The probability that exactly 12 buyers would prefer green

=0.00555

Step-by-step explanation:

We are given that

p=50%=50/100=0.50

n=14

We have to find the probability that exactly 12 buyers would prefer green.

q=1-p

q=1-0.50=0.50

Using binomial distribution formula

$P(X=x)=nC_r p^r q^(n-r)$

$P(x=12)=14C_(12)(0.50)^(12)(0.50)^(14-12)$

$P(x=12)=14C_(12)(0.50)^(12)(0.50)^2$

$P(x=12)=14C_(12)(0.50)^(14)$

$P(x=12)=(14!)/(12!2!)(0.50)^(14)$

$P(x=12)=(14* 13* 12!)/(12!2* 1)(0.50)^(14)$

$P(x=12)=91\cdot (0.50)^(14)$

$P(x=12)=0.00555$

Hence, the probability that exactly 12 buyers would prefer green

=0.00555

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12/11 - (-2/3)= what is the answer

Answers

Answer:

58/33 or 1.75

Step-by-step explanation:

In a systematic review with a meta-analysis, researchers combine the results of each of the individual studies to create a larger sample size (and therefore greater power), then re-run the statistics to capture the true magnitude of the effect. The single-effect measure calculated and reported when the results from all the studies are combined is called what?

Answers

Answer:

Power analysis

Step-by-step explanation:

Power analysis is a significant part of test structure. It permits us to decide the example size required to recognize an impact of a given size with a given level of certainty. On the other hand, it permits us to decide the likelihood of recognizing an impact of a given size with a given degree of certainty, under example size requirements. On the off chance that the likelihood is unsuitably low, we would be shrewd to adjust or forsake the analysis.

The principle reason underlying power analysis is to assist the analyst with determining the littlest example size that is appropriate to recognize the impact of a given test at the ideal degree of hugeness.

Can someone help me answer this question X= 6 6 6 6

Answers

Answer:

Would it be 90 degrees?

Step-by-step explanation:

Answer:

X=1296

or if your trying to look for the area it would be x=1111

its basically length times width

At a large department store, the average number of years of employment for a cashier is 5.7 with a standard deviation of 1.8 years, and the distribution is approximately normal. If an employee is picked at random, what is the probability that the employee has worked at the store for over 10 years? 99.2% 0.8% 49.2% 1.7%

Answers

Answer:

option 0.8%

Step-by-step explanation:

Data provided in the question:

Mean = 5.7 years

Standard deviation, s = 1.8 years

Now,

P(the employee has worked at the store for over 10 years)

= P(X > 10 years)

= $P (Z > (X-Mean)/(\sigma))$

= $P (Z > (10-5.7)/(1.8))$

= P (Z > 2.389 )

= 0.008447 [from standard z table]

= 0.008447 × 100% = 0.84% ≈ 0.8%

Hence,

the correct answer is option 0.8%

Help!!i will mark brainlyest!!

Answers

Answer:

Step-by-step explanation:

Square root of ten = 3.16227766

Simplified = 3.2

Answer:

Step-by-step explanation:

The square root of 10 is 3.16 something and the closest to that is q

Find the product: -5(-3)(-3)

Answers

Answer:

-45

Step-by-step explanation:

Answer:

((−5)(−3))(−3)

=−45

hope this was helpful!

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