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Kisachek [45]
2 years ago
9

A fair six-sided die, with sides numbered 1 through 6, will be rolled a total of 15 times. Let x¯1 represent the average of the

first ten rolls, and let x¯2 represent the average of the remaining five rolls. What is the mean μ(x¯1−x¯2) of the sampling distribution of the difference in sample means x¯1−x¯2 ?.
SAT
1 answer:
SIZIF [17.4K]2 years ago
4 0

The sampling distribution of the difference in sample means x⁻₁ - x⁻₂ is; 3.5 - 3.5 = 0

<h3>Difference in sample means</h3>

We are told that;

  • A fair six-sided die, with sides numbered 1 through 6, will be rolled a total of 15 times.
  • x⁻₁ represents the average of the first ten rolls.
  • x⁻₂ represents the average of the remaining five rolls.

Now, the average of the largest and lowest numbers of the six sided die is;

E(x) = (6 + 1)/2 = 3.5

Thus, the average mean of the first ten rows is expressed as;

E(x⁻₁) = (n * E(x))/n

E(x⁻₁) = (10 * 3.5)/10

E(x⁻₁) = 3.5

The average mean of the last five rolls will be;

E(x⁻₂) = (n * E(x))/n

E(x⁻₂) = (5 * 3.5)/5

E(x⁻₂) = 3.5

Thus;

x⁻₁ - x⁻₂ = 3.5 - 3.5 = 0

Read more about difference in sample means at; brainly.com/question/16428987

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Using the Central Limit Theorem, it is found that the correct option is given by:

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They are given by:

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In this problem, the samples are random and independent, but we have to check the normality by the Central Limit Theorem.

<h3>What does the Central Limit Theorem state?</h3>

It states that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

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In this problem, the samples do not have strong skewness, hence they can be described as normally distributed, hence the normality condition is also respected and the correct option is:

yes, all three conditions for inference are met.

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