vocabulary ch.1-6 Flashcards

1
Q

statistics

A

A collection of procedures and principles for gathering data and analyzing infofrmation in order to help people make descisions when faced with uncertianty.

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2
Q

Dot plot

A

represents the response of an individual

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3
Q

five-number summary

A

The lowest value, the cutoff points for 1/4, 1/2, and 3/4 of the data, and the highest value.

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4
Q

Mean Average

A

add all values together then divide by the amount of values.

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5
Q

Median Average

A

if n is odd:
M= middle #
(n+1)/2

if n is even:
M=middle of ordered values
(n/2) and (n/2)+1

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6
Q

population data

A

collected when all inviduals in a population are measured.

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7
Q

sample survey

A

a method for collecting data from or about the members of a population so that inferences about the entire population can be obtained.

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8
Q

random sample survey

A

a sampling method that allows for the randomization of sample selection, i.e., each sample has the same probability as other samples to be selected to serve as a representation of an entire population.

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9
Q

categorical variable

A

consist of group or category names that don’t necessarily have a logical ordering

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10
Q

histogram

A

most commonly used graph to show frequency distributions.

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11
Q

extremes

A

high and low

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12
Q

median

A
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13
Q

quartiles

A

medians of the lower and upper halves of the values.

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14
Q

interquartile range

A

(IQR) upper quartile - lower quartile

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15
Q

outlier

A

data point that is not consistent with the bulk of the data.

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16
Q

scatterplot

A

a two-dimensional graph of data values

17
Q

linear association
- positive
- negative

A
18
Q

linear regression line
- Y intercept
- slope

A
19
Q

Correlation r

A

indicates the strength and direction of a straight-line relationship.
r is always between -1 and 1.

20
Q

statistically significant

A
21
Q

Null hypothesis

A

the two variables are not related in the population

22
Q

Alternative Hypothesis

A

the two variables are related in the population

23
Q

population

A
24
Q

Bias
- Selection
- non participation or non response

A
25
Q

margin of error-

A

calculate with formula: 1/square root n =m.e.

26
Q

Sample size

A

calculate with formula: (1/m.e.)^2 = n

27
Q

observational study

A
  • researchers observe or question participants about opinions, behaviors, or outcomes.
  • researchers don’t assign any treatments or conditions.
  • participants not asked to do anything differently.
28
Q

experimental study

A

researchers manipulate something and measure the effect of the manipulation on some outcome of interest

29
Q

variables

A
  • response
  • explanatory
  • confounding
30
Q

control group

A

treated identically in all respects except they don’t recieve treatment. somethings they get dummy treatments like placebos.

31
Q

range

A

range =high value - low value

32
Q

margin of error

A

1/ square root (n) x 100%

n= poplulation size

33
Q

population size

A

n =1/(m.e)^2

34
Q

confounding variables

A

variable that both affect the response variable and also is related to the explanatory variable.

lurking variable that could be a convounding variable but it’s not measured.