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chapter 1,2 statistics
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Questions in this quiz (35)
1is the science of conducting studies to collect, organize, summarize, analyze, and draw conclusions
- Astatistics
- Bvariable
- Cdata
- Dquantitative variables
2is a characteristic or attribute that can assume different values
- Avariable
- Bdata
- Cdiscrete
- Dcontinuous
3are the values that variables can assume
- Adata
- Bvariables
- Cqualitatives
- Ddiscrete
4is a collection of date values
- Adata set
- Brandom variables
- Cqualitatives
- Dcontinous varibales
5have values that are determined by chance
- Arandom variables
- Bdata set
- Cdiscrete variables
- Dstatistics
6can be placed into distinct categories according to some characteristics or attribute
- Aqualitative variables
- Bquantitative variables
- Cdata set
- Dvariables
7are numerical in nature and can be ordered or ranked
- Aquantitative variables
- Bqualitative variables
- Crandom variables
- Ddata set
8assume values that can be counted
- Adiscrete variables
- Bcontinuous variables
- Cdata set
- Drandom, variables
9can assume all values between any two specific values
- Acontinuous variables
- Bdata set
- Cdiscrete variables
- Dnominal
10classifies data into mutually exclusive (non overlapping), exhausting categories in which no order or ranking can be imposed on the data
- Anominal
- Bordinal
- Cdata set
- Drandom variables
11classicfies data into categories that can be ranked: however, precise differences between the ranks do not exist
- Aordinal
- Bnominal
- Ccontinuous variable
- Drandom variable
12ranks data, and precise differences between units of measure do exist, however, there is no meaningful zero
- Ainterval
- Bratio
- Cnominal
- Dordinal
13posses all the characteristics of interval measurement, and there exists a true zero
- Aratio
- Binterval
- Cnominal
- Ddata set
14consists of the collection, organization, summarization, and presentation of data
- Adescriptive statistic
- Binferential statics
- Cordinal
- Dinterval
15consists of generalizing from samples to populations, performing hypothesis testing, determine relationships among variables, and making predictions.
- Ainferential statistics
- Bdescriptive statistics
- Cnominal
- Ddata set
16is the chance of an even occurring
- Aprobability
- Bpopulation
- Csample
- Ddata set
17consists of all subjects that are being studied
- Apopulation
- Bprobability
- Csample
- Dnominal
18is a group of subjects selected from a population
- Asample
- Bpopulation
- Cprobability
- Ddata set
19are selected using chance methods or random methods
- Arandom samples
- Bsystematic samples
- Cdata sets
- Dnominal
20by numbering each subject of the populations and then selecting every nth number
- Asystematic samples
- Brandom samples
- Cdata sets
- Dinterval
21by dividing the population into groups according to some characteristics that is important to the study, the sampling from each group
- Astratified samples
- Bcluster samples
- Cdata set
- Dnominal
22by using intact groups called clusters
- Acluster samples
- Bstratified samples
- Cdata sets
- Dordinal
23thee researcher mercy observes what is happening or what has happened in the past and tries to draw conclusions based ion these observations
- Aobservational study
- Bexperimental study
- Cdata set
- Ddiscrete variables
24the researcher manipulates one of the variables and tries to determine how the manipulation influences the variables
- Aexperimental study
- Bobservation study
- Ccontinuous variables
- Dordinal
25data collected in original form is called
- Araw data
- Bfrequency distribution
- Ccategorial frequency distribution
- Dnominal
26is the organization of raw data in table form, using classes and frequencies
- Afrequencies distribution
- Braw data
- Ccategorial frequency distribution
- Dnominal
27nominal or ordinal level data that can be places in categories is organized
- Acategorical frequency distribution
- Braw data
- Cfrequency distribution
- Dnominal
28are used when the range of the data is large
- Agrouped frequency distribution
- Blower and upper class limits
- Cclass boundaries
- Dordinal
29the smallest and largest possible data values in class are the
- Alower and upper limits
- Bclass boundaries
- Cgrouped frequency distribution
- Dordinal
30is a graph that displays the data by using vertical bars of various heights to represent the frequencies of the classes
- Ahistogram
- Bclass boundaries
- Cordinal
- Dnominal
31is a graph that displays the data by using lines that connects points plotted for the frequencies at the class midpoints. the frequencies are represented by the heights of the points
- Afrequency polygon
- Bclass midpoints
- Chistogram
- Dnominal
32is a graph that represents the cumulative frequencies for the classes in a frequency distribution
- Aogive
- Bordinal
- Chistogram
- Dnominal
33if proportions are used instead of frequencies, the graph are called
- Arelative frequency graphs
- Bogive
- Cordinal
- Dnominal
34a statistical graph in which each data value is plotted as a point above the horizontal axis
- Adotplot
- Bogive
- Cordinal
- Dnominal
35a data plot that uses part of a data value as the stem and part of the data value as the leaf to form groups or classes
- Astem and leaf plot
- Bogive
- Cdot plot
- Dordinal
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- Description
- statistics math Quiz on chapter 1,2 statistics , created by Rigo Sanchez on 05/02/2016.
- Author
- Rigo Sanchez
- Language
- English
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