Z-tests and T-tests Flashcards

(29 cards)

1
Q

What is the purpose of the Z-test?

A

To test differences between ONE SAMPLE and A POPULATION proportion or mean.

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2
Q

What are the null and alternative hypotheses for the Z-test for Proportions?

A

H0: No statistically significant difference between sample proportion (p) and population proportion (Π).
H1: A statistically significant difference between sample proportion (p) and population proportion (Π).

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3
Q

When is the Z-test typically used?

A

When the population standard deviation (σ) or proportion (Π) is known.

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4
Q

What is the formula for calculating the Z-test statistic for the mean?

A

Z = (X̄ - μ) / (σ / √n)

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5
Q

What is the significance level often set at in hypothesis testing?

A

5% (α < 0.05)

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6
Q

What does it mean if the Z-test statistic is outside the critical values?

A

Reject the null hypothesis (H0).

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7
Q

What is the critical value of Z for a significance level of 0.05?

A

±1.96

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8
Q

In the context of the Z-test for Proportions, what does a two-sided test imply?

A

The sample proportion could be larger or smaller than the population proportion.

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9
Q

What is the critical Z value for a one-sided test at a significance level of 0.05?

A

1.645

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10
Q

What happens when the population standard deviation is not known and the sample size is less than 30?

A

Use a One Sample T-Test.

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11
Q

Who invented the t-test and why?

A

William Gosset invented the t-test for quality control in brewing with small samples.

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12
Q

What does the degrees of freedom (df) indicate in hypothesis testing?

A

The flexibility or wiggle room in the data.

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13
Q

What is the relationship between the t-distribution and the normal distribution as sample size increases?

A

As sample size increases, the t-curve approaches the normal curve.

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14
Q

What do we need to assume about the sample when using the t-test?

A

The observations must be normally distributed.

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15
Q

Fill in the blank: The Z-test can be used when the population standard deviation is known and the sample size is _______.

A

30 or greater.

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16
Q

True or False: The Z-test can only be used when the population standard deviation is known.

17
Q

What is the conclusion when the calculated z-statistic is greater than the critical value?

A

Reject the null hypothesis (H0).

18
Q

What happens to the t-curve as the sample size increases?

A

The curve gets taller and thinner.

19
Q

When does the t-curve resemble the normal curve of the z-statistic?

A

When the sample reaches 30 or more.

20
Q

What statistical software always calculates a t-test?

21
Q

What do degrees of freedom (df) represent in a t-distribution?

A

The number of datapoints within a sample that are free to vary.

22
Q

In a one-sample t-test, what is the formula for degrees of freedom?

A

df = n – 1.

23
Q

What is the difference between a sample and a population?

A

Population is the entire group; sample is a subset selected to represent the whole group.

24
Q

When is the Independent Samples T-Test used?

A

To compare two independently drawn samples from two groups.

25
What does the Independent Samples T-Test compare?
The difference between the sample means.
26
What does the standard error (SE) estimate in the Independent Samples T-Test?
The sampling variability between the sample means.
27
What does a significant Levene’s test indicate?
Reject H0; equal variance cannot be assumed.
28
What is the result of a non-significant Levene’s test?
Fail to reject H0; equal variances can be assumed.
29
What is the purpose of the Paired Samples T-Test?
To compare two samples taken from the same individuals under different conditions.