Inferential Stats Flashcards

1
Q

Type of statistics? (2)

A

1) Descriptive statistics
2) Inferential statistics

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2
Q

What is Descriptive statistics?

A

To describe, organize and summarize data.

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3
Q

What is Inferential statistics?

A

To make interpretations from data.
Methods that use results from a sample to make conclusions
about a population (Statistical significance)

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4
Q

Examples of descriptive statistics?

A

1) Organize data
* Frequency distribution
2)Summarize data
* Measures of central tendency (Mean, median, mode)
* Measures of dispersion
(Standard deviation, variance, range)
* Measures of relationship
(Pearson, Spearman)

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5
Q

What is frequency distribution?

A
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6
Q

What is the median?

A

Divide the distribution in half. Take the middle number.

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7
Q

What is the mean?

A

Average of all results.

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8
Q

What is the range?

A

Difference between the largest and the smallest score.

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9
Q

What is standard deviation?

A

Indicates how each individual within a sample deviates from the sample mean.

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10
Q

What is standard error of the mean (SEM)?

A

Provides a measure of how much difference is reasonable to expect between a sample and its population.

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11
Q

What is inferential statistics?

A

Allow researchers to infer/generalize observations to the larger population.

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12
Q

What is the p-value?

A

Allow researchers to determine how likely it is that the observed difference between groups is due to random chance. Ex: “Probability that the difference is due to chance is 5%” - p-value=0.05

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13
Q

What is a null hypothesis?

A

Statement about the population parameter if there is no effect.

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14
Q

What p-value do we want for the null hypothesis?

A

Small p-value.

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15
Q

P-Value range?

A

The range between 0 (impossible) and 1 (certain).

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16
Q

When can we reject the null hypothesis?

A

If the p-value is less than 0.05.

17
Q

When conducting research what do we want to do?

A
  • Increase the difference between the means
  • Decrease the variance/standard deviation in each sample
  • Decrease the standard error of the mean to generalize sample data to population (by increasing sample size)