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bekas [8.4K]
3 years ago
7

Spinning an american roulette wheel 7474 times and recording the number the ball lands on

Mathematics
1 answer:
Oksanka [162]3 years ago
4 0
Probability yes but this question lacks question
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Among the more frustrating issues of Windows 8/8.1, the “Please Wait<span> Screen” error is markedly  Method 2: </span>Repair<span> system files using SFC scan. This is a  This process is considered to conflict with the </span>computer's<span> operations and bring it to freeze at the startup screen.  When you see this count 1 and 2 (not exactly 2 </span>sec<span>.</span>
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3 years ago
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A company compiles data on a variety of issues in education. In 2004 the company reported that the national college​ freshman-to
nasty-shy [4]

Answer:

1) Randomization: We assume that we have a random sample of students

2) 10% condition, for this case we assume that the sample size is lower than 10% of the real population size

3) np = 500*0.66= 330 >10

n(1-p) = 500*(1-0.66) =170>10

So then we can use the normal approximation for the distribution of p, since the conditions are satisfied

The population proportion have the following distribution :

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

And we have :

\mu_p = 0.66

\sigma_{p}= \sqrt{\frac{0.66(1-0.66)}{500}}= 0.0212

Using the 68-95-99.7% rule we expect 68% of the values between 0.639 (63.9%) and 0.681 (68.1%), 95% of the values between 0.618(61.8%) and 0.702(70.2%) and 99.7% of the values between 0.596(59.6%) and 0.724(72.4%).

Step-by-step explanation:

For this case we know that we have a sample of n = 500 students and we have a percentage of expected return for their sophomore years given 66% and on fraction would be 0.66 and we are interested on the distribution for the population proportion p.

We want to know if we can apply the normal approximation, so we need to check 3 conditions:

1) Randomization: We assume that we have a random sample of students

2) 10% condition, for this case we assume that the sample size is lower than 10% of the real population size

3) np = 500*0.66= 330 >10

n(1-p) = 500*(1-0.66) =170>10

So then we can use the normal approximation for the distribution of p, since the conditions are satisfied

The population proportion have the following distribution :

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

And we have :

\mu_p = 0.66

\sigma_{p}= \sqrt{\frac{0.66(1-0.66)}{500}}= 0.0212

And we can use the empirical rule to describe the distribution of percentages.

The empirical rule, also known as three-sigma rule or 68-95-99.7 rule, "is a statistical rule which states that for a normal distribution, almost all data falls within three standard deviations (denoted by σ) of the mean (denoted by µ)".

On this case in order to check if the random variable X follows a normal distribution we can use the empirical rule that states the following:

• The probability of obtain values within one deviation from the mean is 0.68

• The probability of obtain values within two deviation's from the mean is 0.95

• The probability of obtain values within three deviation's from the mean is 0.997

Using the 68-95-99.7% rule we expect 68% of the values between 0.639 (63.9%) and 0.681 (68.1%), 95% of the values between 0.618(61.8%) and 0.702(70.2%) and 99.7% of the values between 0.596(59.6%) and 0.724(72.4%).

8 0
3 years ago
Simplify:<br> (x+3)(x-3)-(1-9)
xxMikexx [17]

Answer:

67

Step-by-step explanation:

3 0
2 years ago
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What is an equation of the line that passes through the points (-7, 7) and (3, 7)(
Andreas93 [3]

Answer:

y=7

Step-by-step explanation:

The slope is (7-7)/(3+7) = 0. So, the line is a horizontal line.

The y value of both points is 7.

8 0
2 years ago
For the diwali mela organised by a ladies club,Sarita sold 325 on the first day and 496 samosa on the second day . How many samo
iragen [17]

Answer:

821

Step-by-step explanation:

First day: 325

Second day: 496

It’s asking how many samosas were sold in all so we have to add the 325 samosas from the first day to the 496 samosas on the second day.

325

+ 496

—————

821

3 0
3 years ago
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