Brief review Flashcards

1
Q

What is the mean?

A

The average of the data combined.

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2
Q

What is the median?

A

The middle-most point.

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3
Q

What is the mode?

A

The data that is repeated most often.

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4
Q

What is the standard deviation?

A

How dar most points fall above/below the mean.

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5
Q

What is the range?

A

The difference between the highest and lowest data point.

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6
Q

What is the mean deviation?

A

The average difference between most scores and the mean.

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7
Q

Interpret the confidence interval.

A

The mean will fall between this range but it does not determine if the sample mean is equal to the population mean.

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8
Q

Test statistic exceeds critical value.

A

Te test statistic (?) exceeds the critical value, reject the null hypothesis. Conclude that there is probably a real difference ay .05 significance.

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9
Q

Test statistic does not exceed critical value.

A

Te test statistic (?) does not exceed the critical value, retain the null hypothesis. Conclude that there no difference ay .05 significance.

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10
Q

Why related sample t-test?

A

Because we are testing the before and after of the same sample with the same sample size.

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11
Q

Why independent sample t-test?

A

Because we’re testing two independent samples.

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12
Q

Why two-tailed test?

A

Because we’re looking at both directions.

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13
Q

Why one-tailed test?

A

Because we’re looking at one direction.

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14
Q

Why do we use n-1 to calculate the standard deviation of a sample?

A

Because using N would underestimate the standard deviation.

We need to divide by a smaller number in order to get an answer that is more representative of a sample size.

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15
Q

Why do we use n-1 to calculate the standard deviation of a sample?

A

Because using N would underestimate the standard deviation.

We need to divide by a smaller number in order to get an answer that is more representative of a sample size.

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16
Q

Why do we use standard deviation instead of the mean deviation?

A

Because mean deviation uses absolute values which are an inaccurate way of measuring deviation since it automatically changes everything to positive.

17
Q

How do z-scores allow us to make comparisons across different variables?

A

By converting the different variables into the same score (z-score). Once they are all the same, we can compare them easily.