chapter 9 Flashcards

1
Q
  • is the procedure through which inferences about a population are made based on certain characteristics calculated from a sample of data drawn from that population.

-Interferences about a population are made based on certain characteristics calculated from a sample of data drawn from that population.

A

Statistical interference

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2
Q

-proceeds general assumptions or propositions to specific thoughts

-idea > observation > conclusion

A

Deductive

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3
Q

-generalization from the data

-observation > analysis > theory

A

Inductive

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4
Q

formula for analytical geometry

A

y = mx + b

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5
Q

-the process used to evaluate the strength of evidence from the sample
-method of understanding how reliable one can extrapolate

A

Hypothesis testing

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6
Q

support hypothesis, when in fact the hypothesis is false

A

False positive error

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7
Q

-do no support hypothesis, when in fact the hypothesis is true

A

False negative error

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8
Q

-develop a null hypothesis and alternative hypothesis

A

Process of testing a null hypothesis for statistical significance

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9
Q

-states there is no association between the variables

A

Null hypothesis

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10
Q

-states that there must be a true association between the variables

A

Alternative hypothesis

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11
Q

-threshold value used to judge whether a test statistic is statistically significant
-represents an acceptable probability of a type I error in a statistical test
-Type 1 is set at 0.05 (5% error only)

A

alpha level

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12
Q

-probability of obtaining results at least as ex hypothesis test extreme as the observed results of statistical assumptions that null hypothesis is correct

A

P value

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13
Q

-refers to the probability that a population parameter will fall between a set of values for a certain proportion of times

A

confidence interval

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14
Q

similar to a two-sample t-test, the average ranks of randomly selected observation from population x and y is similar

A

Mann-whitney U test

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15
Q

similar to paired t-test, the medium pairwise mean” is equal to zero or close to zero

A

Wilcoxon matched-pairs signed ranks test

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16
Q

similar to One-way ANOVA (F-test), the average ranks from three or more groups do not differ from one another

A

Kruskal-Wailis test

17
Q

regression analysis, correlation analysis, measures strength of the relationship between variables

A

Spearman rank correlation coefficient (rho) Kendall rank correlation coefficient (tau)

18
Q

similar to one sample t-test and paired t-test, the expected proportion of plus sign is 0.5 and minus signs is 0.5

A

Sign test

19
Q

similar to the one-way ANOVA test (F-test), there is no difference in the median between the two groups

A

Mood median test