Final exam Flashcards

1
Q

What are 4 types of quantitative methods?

A

Observation, experiments, surveys and content analysis.

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2
Q

What are the 3 types of data?

A

Nominal, ordinal and interval

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3
Q

What is nominal data?

A

Categories with no set order. (categorize)

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4
Q

What is ordinal data?

A

there needs to be an order. There are no intervals between. (Ordering)

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5
Q

What is interval data?

A

Has precise intervals and the distance between them is equal. (ordering according to intervals)

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6
Q

What is a frequency table?

A

A table that shows the data in order and the number of times each data appears.

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7
Q

what is f?

A

Frequency, the number of cases in a category

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8
Q

what is the difference between a bar graph and a histogram?

A

a histogram has no gaps between the bars

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9
Q

What is n?

A

the total

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10
Q

What z value does a 95% confidence interval have?

A

+/-1.96

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11
Q

What z value does a 99% confidence interval have?

A

+/-2.58

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12
Q

how do you calculate standard error?

A

divide standard deviation of the population by the square root of the sample size

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13
Q

what is μ

A

population mean

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14
Q

what is σ?

A

population standard deviation

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15
Q

what is 𝑥̅ ?

A

sample mean

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16
Q

what is the chi square test used for?

A

comparing frequencies,, proportions or percentages. not means.

17
Q

what is the formula for the chi squared tests

A

x squared = the sum of observed frequencies minus expected frequencies, squared. then divided by the expected frequencies.

18
Q

what’s the difference between a chi squared “one sample goodness of fit” and “test for independence”?

A

goodness of fit is for one variable for a sample to see if they’re different from the population. Independence is when you have two or more groups and want to know if they are different.

19
Q

How do you calculate degrees of freedom on a chi squared test for independance?

A

of rows -1 multiplied by the # of columns -1

20
Q

what does it mean to be in the 60% percentile?

A

you’re better than 60% of others

21
Q

What is cross classified data?

A

data that is organized by two or more categorical variables. Each category of one variable is cross-classified with each category of the other variable(s), resulting in a table that displays the frequency of observations that fall into each combination of categories.

22
Q

what is r

A

the correlation coefficient. It is used to see the strength and relationship between two variables.

23
Q

What is r^2

A

The determination coefficient. It shows how accurate your regression line is. How much of the dependant variable can be explained by the independent variable.

24
Q

What are the 3 types of association between variables?

A

Causation, (one causes the other.), correlation (the two are connected but not clear which causes which.), interdependent (they do not have a relationship)

25
Q

What is extrapolation?

A

Estimating unknown variables, based on a pattern or trend.

26
Q

what is a contingency coefficient

A

it’s used in a chi squared test to see how strong the correlation is. if it’s over 0.3 it’s strong .