week 9 Flashcards

1
Q

what is nominal measurement

A

random categories, they are not numbers and cannot be put into order (ex. nurses vs. doctors)

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2
Q

what is ordinal measurement

A

groups and categories that follow a strict order (likest style)

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3
Q

what is interval measurement

A

there Is proportionate interval between two variables
ex. clock, weight (there cannot be absolute zero)

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4
Q

what is ratio measurement

A

highest level of measurement
can have an absolute zero
can be proportionate
ex. length, there is a possible 0 which is no length

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5
Q

what is a null hypothesis

A

no relationship between variables, meaning results are according to change alone

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6
Q

what P value can reject a null hypothesis

A

under 0.05

the lower the P value, the more certain we are

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7
Q

how to we conduct research to reject a null hypothesis

A
  1. start with a null hypothesis that we want to prove wrong!
  2. gather and interpret the data
  3. calculate the P value (is it significant)
  4. confirm or reject the null hypothesis
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8
Q

what are the three alpha levels and what are their corresponding significance

A

alpha < 1: highly significant
alpha < 5: significant
alpha >5: not significant

you look at alpha level and relate it to your p value to see if things are significant

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9
Q

what does a low p value mean

A

findings are less likely to be due to random change

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10
Q

what is Standard Deviation

A

average distance each data point is from the mean (average)

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11
Q

what is Z score related to standard deviation

A

z score is how far your variable is from the mean, this is measured in standard deviations

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12
Q

what are the three measures of central tendency

A

mean average (simple, mean amount of testicles each person in the world has is one)
median: if values were arranged in ascending order, median is middle value
mode; value that appears most frequently

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13
Q

what are issues with median

A

does not consider intense outliers at all

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14
Q

what do we call a study with two modes

A

bimodal

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15
Q

what is range

A

the diff between the minimum and maximum data

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16
Q

what is interquartile range

A

middle 50% of data

17
Q

what is measures of dispersion

A

how spread out the data set is to to help us understand the variability

18
Q

what is a frequency table

A

how often each distinct value appears in a data set, put into percentages

19
Q

what is the n value

A

the sample size

20
Q

what is a contingency table

A

a frequency table with a second category variable

21
Q

what is variability

A

how spread out the data points are, helps us understand if data is consistent or inconsistent

22
Q

what is homogeneity

A

little variability

23
Q

what is heterogeneity

A

data point is very spread out, more diverse and rich data set