Chapter 15 A Flashcards

1
Q

2 Principle purposes of statistics

A

1) to organize and summarize data–> utilizes descriptive statistics
2) justifying conclusions –> statistically test research hypothesis; utilizes inferential statistics

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2
Q

2 general categories of statistics

A

descriptive and inferential

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3
Q

descriptive statistics

A

summarizes data collected from the sample

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4
Q

inferential statistics

A

answer general questions about a population. allows to generalize results from a sample to a population

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5
Q

statistic vs parameter

A

statistics are information pieces when data is from a SAMPLE

parameter are summary values that describes a POPULATION.

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6
Q

frequency distribution

A

the number of individuals/scores in each category on the scale of measurement.

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7
Q

2 options for graphing numerical data (ordinal interval or ratio)

A

1) histogram, with BARS TOUCHING EACH OTHER

2) polygon- line graph

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8
Q

in a histogram/bar graph that depicts nominal or ordinal statistics, should the bars touch each other?

A

no. a space should be left between adjacent bars.

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9
Q

3 measures of central tendency

A

mean, median, mode

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10
Q

when does a mean not provide a good measure?

A

1) when a sample has outliers

2) in nominal scales (things that cant be quantified, like names or sex)

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11
Q

describing interval or ratio data

A

1) measures of central tendency
2) standard deviation, variance and range
3) sample variance and degrees of freesom

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12
Q

standard deviation

A

variability of the scores by measuring the distance between EACH SCORE and the mean

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13
Q

“average distnace from the mean”

A

standard deviation

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14
Q

variance

A

the average squared distance from the mean

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15
Q

range

A

the difference between largest value and smallest value in data set.

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16
Q

when calculating degrees of freedom, why is it necessary to use n-1?

A

n-1 is an adjustment when calculating sample variance in order to provide an accurate representation of its population variance.

  • normal sample variance without using n-1 UNDERESTIMATES ACTUAL VARIANCE of a population
  • DOF provides more accurate and unbiased view.
17
Q

Empirical rule

A

68-95-99.7

18
Q

factorial research study

A

includes 2 or more independent variables (ex/ temperature and humidity (IVs) on performance (DV))

19
Q

how can a factorial research study be represented

A

via matrices

20
Q

Correlation

A

statistical value that measures and describes the direction and degree of relationship between 2 variables ranked from -1 to +1

21
Q

pearson correlation

A

evaluates linear relationships- if the data is interval or ratio, spearman correlation can be determined in order to measure the degree to which the relationship is ONE-DIMENSIONAL and not influenced by other factors.

22
Q

regression

A

the equation of the straight line. (slope)

23
Q

multiple regression:

A

when 2 variables are used to predict Y

24
Q

Internal consistancy

A

refers to the extent to which the scores on the items correlate with each other. do the questions on the test measure the same thing?

25
Q

What formula does split-half reliability use?

A

spearman brown formula R= (2r)/1+r

where r= correlation between the two halves of the test
R=reliability

and kuder-richardson formula #20