Types Of Hypotheses Flashcards

1
Q

What is a random sample in statistics?

A

A sequence of independent and identically distributed (iid) random variables.

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2
Q

What does iid stand for?

A

Independent and identically distributed.

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3
Q

What does it mean for variables to be identically distributed?

A

They come from the same distribution with the same mean and variance.

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4
Q

What is the difference between random variables and observed values?

A

Random variables are unobserved and capitalized; once observed, values are fixed and not random.

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5
Q

What is the sample mean (X̄)?

A

The average of all sample values, used to estimate the population mean μ.

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6
Q

What is a null hypothesis (H₀)?

A

A statement assumed to be true unless evidence suggests otherwise.

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7
Q

What is an alternative hypothesis (H₁ or Hₐ)?

A

The statement we try to find evidence for; considered if we reject the null.

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8
Q

How is hypothesis testing like a court trial?

A

The null is ‘innocent until proven guilty’; we can reject or fail to reject it, but never accept it.

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9
Q

How do you choose the null and alternative hypotheses?

A

H₀ is the status quo; H₁ is what you want to prove or find evidence for.

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10
Q

What kind of hypothesis is μ = 3?

A

A simple hypothesis, because it specifies a complete distribution.

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11
Q

What kind of hypothesis is μ > 3?

A

A composite hypothesis, because it includes multiple possible values.

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12
Q

Is a hypothesis with an equal sign always simple?

A

Not necessarily; it is simple only if all parameters of the distribution are known.

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13
Q

Why is the sample mean used in hypothesis testing?

A

It is a good estimator of the population mean and reflects underlying data trends.

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14
Q

What does it mean to reject the null hypothesis?

A

It means the sample provides enough evidence to support the alternative hypothesis.

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15
Q

What does it mean to fail to reject the null hypothesis?

A

The sample does not provide sufficient evidence to support the alternative.

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16
Q

Can we prove the null hypothesis is true?

A

No, we can only reject or fail to reject it based on the data.

17
Q

Why do we need hypothesis testing?

A

To make decisions about population parameters using sample data.

18
Q

What kind of test is μ = 3 vs. μ > 3?

A

A one-sided (right-tailed) test.

19
Q

What kind of test is μ = 3 vs. μ < 3?

A

A one-sided (left-tailed) test.

20
Q

What kind of test is μ = 3 vs. μ ≠ 3?

A

A two-sided test.