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