Inferential Statistics Flashcards

(30 cards)

0
Q

when does sampling error occur

A

when the sample does not accurately reflect the pop

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1
Q

2 purposes of inferential stats

A

1- estimate pop parameters from sample data and to test hypothesis
2- hypothesis are tested in nursing research studies

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2
Q

def central limit theorem

A

phenomenon in which sample values tend to be normally distributed around the pop value

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3
Q

def sampling distribution

A

a theoretical freq distribution based on an infinite number of samples

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4
Q

def standard error of the mean

A

the standard deviation of the sampling distribution of the mean

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5
Q

def confidence interval

A

a range of values that, with a specified degree of probability, is thought to contain the population value

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6
Q

def level of significance

A

the probability of rejecting a null hypoth when it is true, and it should not be rejected

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7
Q

def one tailed test of significance

A

differences or correlations are sought in only one tail of hte theoretical sampling distribution

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8
Q

def two tailed test of significance

A

used to determine sigificant values in both ends of the sampling distributions
non directional hypoth

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9
Q

def type i error

A

if the null hypoth is actually true an you reject it

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10
Q

def type ii error

A

if the null hypoth is actually false and you fail to reject it

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11
Q

t/f- as the probability of type i error incr, prob of type ii decr

A

true

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12
Q

what is the most likely reason for type i errors

A

unnecessary changes being instituted

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13
Q

what is the most likely reason for type ii errors

A

failure to institute needed changes

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14
Q

def parametric tests

A

concerned with pop parameters and these tests make assumptions abt a pop from a sample

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15
Q

def non parametric tests

A

less stringent in the requirements for their use and do not make assumptions abt the pop from a sample

16
Q

assumptions of the parametric test

A

1- level of measurement of data is interval or ratio
2- data are taken from pops that are normally distributed on the variable being measured
3- data are taken from pops that have equal variances on the variable being measured

17
Q

def power of a statistical test

A

the ability of the test to reject a null hypo when it is false

18
Q

3 most common stat tests

A

t test
analysis of variance
chi square

19
Q

def t test

A

a parametric tess that examines the difference bx the neab values if some variable in 2 groups
- degrees of freedom

20
Q

def dependant t test

A

aka paired t test or correlated t test

used when scores or values are assoc or have some connection

21
Q

def analysis of variance (ANOVA)

A

compare the differences among more than 2 means

researcher is able analyze the difference bx several means at one time

22
Q

def chi square test

A

a non parametric inferential technique appropriate for comparing sets of data that are in the form of frequencies or percentages
used most commonly with nominal data

23
Q

def multiple regression

A

procedure used when the researcher wishes to determine the inlfuence of more than one independant variable on the dependant variable

24
def analysis of covariance
a powerful statistical test used when the researcher wishes to control statistically for some variable that may have an influence on the dependant variable
25
def cononical correlation
examines the correlation bx 2 or more independant variables and two or more dependant variables
26
def multivariate analysis of variance (MANOVA)
examines the difference bx the mean scores of 2 or more groups on two or more dependant variables that are examined at the same time
27
def meta analysis
a technique that combines the results of several quant studies that have been conducted on the same topic
28
def effect size
indicates how useful a treatment or intervention was in several studies as indicated by the differences bx data from control groups and experimental groups
29
def meta synthesis
a technique used in summarizing reports of qual res studies | it combines the results of several qual studies that cover the same topic