statts

30 flashcardsby Kathrina
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1
consists of conducting studies to collect, organize, summarize, analyze, and draw conclusions.
STATISTICS
2
is a characteristic or attribute that can assume different values
VARIABLES
3
are the values (measurements or observations) that the variables can assume.
DATA
4
Variables whose values are determined by chance are called?
RANDOM VARIABLES
5
A collection of data values forms a
DATA SET
6
Each value in the data set is called a _ or _?
DATA VALUE, DATUM
7
consists of the collection, organization, summarization, and presentation of data.
DESCRIPTIVE STATISTICS
8
consists of all subjects (human or otherwise) that are being studied.
POPULATION
9
is a subgroup of the population.
SAMPLES
10
consists of generalizing from samples to populations, performing hypothesis testing, determining relationships among variables, and making predictions.
INFERENTIAL STATISTICS
11
are variables that can be placed into distinct categories, according to some characteristic or attribute.
QUALITATIVE VARIABLES
12
are numerical in nature and can be ordered or ranked.
QUANTITATIVE VARIABLES
13
assume values that can be counted.
DISCRETE VARIABLES
14
can assume all values between any two specific values. They are obtained by measuring.
CONTINUOUS VARIABLES
15
classifies data into mutually exclusive (non overlapping), exhausting categories in which no order or ranking can be imposed on the data.
NOMINAL LEVEL OF MEASURE
16
classifies data into categories that can be ranked; precise differences between the ranks do not exist.
ORDINAL LEVEL OF MEASURE
17
ranks data; precise differences between units of measure do exist; there is no meaningful zero.
INTERVAL LEVEL OF MEASURE
18
possesses all the characteristics of interval measurement, and there exists a true zero. In addition, true ratios exist for the same variable.
RATIO LEVEL OF MEASURE
19
what are the four methods of sampling?
RANDOM, SYSTEMATIC, STRATIFIED, CLUSTER
20
what are the types of statistics
DESCRIPTIVE, INFERENTIAL
21
4 levels of Measurement?
NOMINAL, ORDINAL, INTERVAL, RATIO
22
are selected by using chance methods or random numbers.
RANDOM SAMPLES
23
are obtained by numbering each value in the population and then selecting the kth value.
SYSTEMATIC SAMPLES
24
are selected by dividing the population into groups (strata) according to some characteristic and then taking samples from each group.
STRATIFIED SAMPLES
25
are selected by dividing the population into groups and then taking samples of the groups.
CLUSTER SAMPLES
26
_ and _ make numerical computation easier.
COMPUTERS, CALCULATORS
27
is the organization of raw data in table form, using classes and frequencies?
FREQUENCY DISTRIBUTION
28
data in original form are called?
RAW DATA
29
each raw data is placed into qualitative and quantitave category called?
CLASS
30
what are the most commonly used graph in research?
HISTOGRAM, FREQUENCY POLYGON, OGIVE
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