Unit 6 A Flashcards

(25 cards)

1
Q

What is the purpose of hypothesis testing in statistics?

A

To determine whether there is enough evidence to reject a null hypothesis.

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2
Q

True or False: The null hypothesis is usually a statement of no effect or no difference.

A

True

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3
Q

What is a p-value?

A

The probability of obtaining a test statistic at least as extreme as the one observed, assuming the null hypothesis is true.

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4
Q

Fill in the blank: A __________ error occurs when the null hypothesis is rejected when it is actually true.

A

Type I

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5
Q

What is the significance level (alpha) in hypothesis testing?

A

The threshold for rejecting the null hypothesis, commonly set at 0.05.

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6
Q

Define Type II error.

A

Failing to reject the null hypothesis when it is actually false.

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7
Q

What does a confidence interval represent?

A

A range of values that is likely to contain the population parameter with a certain level of confidence.

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8
Q

True or False: A 95% confidence interval means that 95% of the data points fall within that interval.

A

False

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9
Q

What is the difference between one-tailed and two-tailed tests?

A

One-tailed tests evaluate the direction of an effect, while two-tailed tests evaluate both directions.

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10
Q

In hypothesis testing, what is the role of the test statistic?

A

It is used to determine how far the sample statistic is from the null hypothesis.

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11
Q

What is the meaning of ‘power’ in hypothesis testing?

A

The probability of correctly rejecting a false null hypothesis.

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12
Q

Fill in the blank: The __________ is the distribution of the sample means.

A

sampling distribution

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13
Q

What is the Central Limit Theorem?

A

It states that the sampling distribution of the sample mean approaches a normal distribution as the sample size increases.

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14
Q

True or False: The standard error decreases as the sample size increases.

A

True

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15
Q

What is an alternative hypothesis?

A

The hypothesis that indicates the presence of an effect or difference.

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16
Q

What is the formula for calculating the z-score?

A

z = (X - μ) / σ

17
Q

What does it mean if a result is statistically significant?

A

It indicates that the observed effect is unlikely to have occurred by chance.

18
Q

Fill in the blank: The __________ test is used to compare the means of two independent groups.

19
Q

What is the main assumption of the t-test?

A

The data should be approximately normally distributed.

20
Q

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

A

There is not enough evidence to support the alternative hypothesis.

21
Q

What is a critical value?

A

A threshold that determines the cutoff for rejecting the null hypothesis.

22
Q

True or False: A larger sample size increases the power of a statistical test.

23
Q

What is the difference between a parameter and a statistic?

A

A parameter is a characteristic of a population, while a statistic is a characteristic of a sample.

24
Q

What is a t-distribution?

A

A probability distribution used for hypothesis testing when the sample size is small and the population standard deviation is unknown.

25
Fill in the blank: The __________ test is used when comparing the means of more than two groups.
ANOVA