Biostats test 1

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49 Terms

1
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2 types of statistics

Descriptive

Inferential

2
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Descriptive statistics are calculations that produce a number that _______ or ______ a set of data

summarizes or describes

3
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Examples of descriptive statistics

Mean, median, mode, range, std dev, variance

4
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Inferential statistics are calculations based on measurements from a _____ used to reach a conclusion about a ______,______ population

sample, larger, unmeasured

5
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Population vs Sample

Population: ALL scores of individuals of interest

Sample: scores of a SUBSET of population

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Representative sample

scores of subset, goal to explain behavior/characteristics of population

7
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what is the issue with representative sample

too large

8
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What is a parameter

a characteristic of a population; is constant and DOESNT change unless population does

becomes variables

9
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What are 2 types of parameters

Numerical or nominal (categorical)

10
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How is a statistic different than a parameter

Statistics are used to estimate population parameter

they DIFFER from sample to sample (are variable)

11
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Parameters describe _____ while statistics describe ______

Parameters= populations, statistics = sample

12
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Descriptive statistics describe your _____ but allow you to make infrences about _____inferences

sample, population

13
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variable

any measurable characteristic that varies across different situations

14
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score

measurement of a variable

15
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two major types of variables

quantitative

qualitative

16
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What do quantitative variables measure

amount or degree of variable

NUMERIC and CONTINUOUS

17
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Examples of quantitative variables

weight in pounds, length in feet

(have range limits)

18
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time is always a ______ variable

continuous (quantitative)

19
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What do qualitative variables measure

categorical characteristics

  • not continuous —> they are discrete

  • not numeric

20
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Examples of qualitative characteristics

religions, gender, political affiliations, university classification

21
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2 qualitative scales of measure

nominal and ordinal

22
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What does a nominal scale of measure show

membership in a group (qualitative, not continuous)

23
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Examples of nominal measures

zodiac signs, jersey numbers, occupations

24
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what do ordinal scales of measure show

same as nominal, but have GREATER and LESS than relationships (qualitative, categorical)

25
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Examples of ordinal scales of measure

Pageant contests, race finish places, university classifications

Note: there is an ORDER (ie one better than the other)

26
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2 quantiative scales of measure

interval, ratio

27
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what are interval scales of measure

same characters as nominal and ordinal, but the intervals between each number is equal

28
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EX of interval scales of measure

Temperature, IQ

29
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what are ratio scales of measure

same as interval, nominal, and ordinal BUT has true 0 point (showing absence of variable) —> nothing BELOW zero

30
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EX of ratio scales of measure

height, weight, time, money

31
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confounding variable

type of extraneous variable, varies with IV, can’t see true relationship

32
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simple frequency distribution

ordered arrangement of score that show each scores frequency

33
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grouped frequency distribution

ordered arrangement of scores condensed into MEANINGFUL GROUPS (class intervals)

34
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class intervals

groups of equal sized ranges of data on grouped frequency distribution

35
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abscissa

X axis (horizontal axis)

36
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ordinate

Y axis (vertical)

37
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frequency polygons are used to graph _____ data

quantitative

reflect intersecting point

38
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Histograms are used to graph _____ data, (____ data)

quantitative, discrete

39
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Histograms represent _____ of scores

distribution

40
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Bar graphs are used to graph categories of a ______ variable

qualitative

Looks like a histogram but spaces in between each

41
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line graph (scatterplot) is used to graph relationships between ______

two variables

points reflect intersection of X and Y variables

42
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What do bell-shaped distributions show (aka normal distribution/ normal curve)

Most frequent scores fall close to the mean

Extremes are less common

43
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Skewed distributions occur when

highest frequency scores are not near mean bc of presence of outliers

44
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In positively (right) skewed, most frequency scores are ____ and tail is toward _____

LOW, tail is toward right (high scores)

45
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In negatively (left) skewed, most frequency scores are ____ and tail is toward _____

HIGH, tail is toward LOW scores (left)

46
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in a rectangular (uniform) distribution….

all X values have same frequency

47
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A bimodal graph has…

2 peaks (2 averages)

48
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what type of curve is this

negative skew

49
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what type of curve is this

positive skew