問題一覧
1
the process of gathering data through interviews, questionnaires, experiments, observation, and documentary analysis;
Collection of data
2
the organization of collected data in readable form using tables, graphs, or charts;
Presentation of data
3
the activity of describing the properties or behavior of the data, the possible correlation of different quantities or variables by calculating its descriptive measures
Analysis of data
4
the task of drawing conclusions from the analyzed data or formulation of forecasts or predictions about larger groups based on the data collected from small groups.
Interpretation of data
5
is a characteristic or a property that varies or can have different values.
Variable
6
refer to measurements of one or more variables
Data
7
Variable and data can be classified as?
quantitative (numerical) or qualitative (categorical).
8
can be classified as discrete (obtained by counting) or continuous (obtained by measuring)
Quantitative variables/data
9
refer to descriptive measures used to indicate where the center, the middlemost or the most typical value of a set of data lies.
Measures of central tendency
10
the simplest and the most efficient measure because all values are considered. It always exist and is unique.
Mean
11
is the most frequent value in a given set of data.
Mode
12
is the difference between the largest (maximum) and the smallest (minimum) values.
Range
13
is computed by getting the average of the squared deviations of each value from the mean
Variance
14
is simply the square root of the variance.
Standard Deviation
15
is used to display visually the distribution of a qualitative or categorical variable.
Bar chart
16
When one wishes to picture proportions in a striking way,
pie chart
17
is most appropriate when showing value of variables over time.
Line chart
18
also utilizes bars but without gap. It is used to graph distribution of continuous variables.
Histogram
19
refers to the totality of all the individuals or objects of interest to which a researcher desires to generalize the result of his research study.
population
20
is a subset of a population which is used to represent the population.
sample
21
is done when a researcher takes data from all the members of the population.
census
22
refers to the way in which sample data are collected.
Sampling
23
It is a theoretical concept that aims to explain for some variables the relation between the intervals of its values and their corresponding probabilities.
Normal Distribution
24
the distribution of sample statistics for different samples of the same sizes from the same population
sampling distribution
25
refers to the statement about the absence of any effect claimed for a certain action. As such it is expressed in terms of equality or no difference.
Null hypothesis (Ho)
26
refers to the assertion contradicting the null hypothesis. It is usually what the research claims or would like to prove.
Alternative hypothesis (Ha)
CONTEMP MOD 5
CONTEMP MOD 5
Jasmine Kelly Abejero · 5問 · 3ヶ月前CONTEMP MOD 5
CONTEMP MOD 5
5問 • 3ヶ月前FOI (MOD 1)
FOI (MOD 1)
Jasmine Kelly Abejero · 8問 · 3ヶ月前FOI (MOD 1)
FOI (MOD 1)
8問 • 3ヶ月前MMW
MMW
Jasmine Kelly Abejero · 25問 · 3ヶ月前MMW
MMW
25問 • 3ヶ月前STS MOD 2
STS MOD 2
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STS MOD 2
36問 • 3ヶ月前STS MOD 3
STS MOD 3
Jasmine Kelly Abejero · 16問 · 3ヶ月前STS MOD 3
STS MOD 3
16問 • 3ヶ月前問題一覧
1
the process of gathering data through interviews, questionnaires, experiments, observation, and documentary analysis;
Collection of data
2
the organization of collected data in readable form using tables, graphs, or charts;
Presentation of data
3
the activity of describing the properties or behavior of the data, the possible correlation of different quantities or variables by calculating its descriptive measures
Analysis of data
4
the task of drawing conclusions from the analyzed data or formulation of forecasts or predictions about larger groups based on the data collected from small groups.
Interpretation of data
5
is a characteristic or a property that varies or can have different values.
Variable
6
refer to measurements of one or more variables
Data
7
Variable and data can be classified as?
quantitative (numerical) or qualitative (categorical).
8
can be classified as discrete (obtained by counting) or continuous (obtained by measuring)
Quantitative variables/data
9
refer to descriptive measures used to indicate where the center, the middlemost or the most typical value of a set of data lies.
Measures of central tendency
10
the simplest and the most efficient measure because all values are considered. It always exist and is unique.
Mean
11
is the most frequent value in a given set of data.
Mode
12
is the difference between the largest (maximum) and the smallest (minimum) values.
Range
13
is computed by getting the average of the squared deviations of each value from the mean
Variance
14
is simply the square root of the variance.
Standard Deviation
15
is used to display visually the distribution of a qualitative or categorical variable.
Bar chart
16
When one wishes to picture proportions in a striking way,
pie chart
17
is most appropriate when showing value of variables over time.
Line chart
18
also utilizes bars but without gap. It is used to graph distribution of continuous variables.
Histogram
19
refers to the totality of all the individuals or objects of interest to which a researcher desires to generalize the result of his research study.
population
20
is a subset of a population which is used to represent the population.
sample
21
is done when a researcher takes data from all the members of the population.
census
22
refers to the way in which sample data are collected.
Sampling
23
It is a theoretical concept that aims to explain for some variables the relation between the intervals of its values and their corresponding probabilities.
Normal Distribution
24
the distribution of sample statistics for different samples of the same sizes from the same population
sampling distribution
25
refers to the statement about the absence of any effect claimed for a certain action. As such it is expressed in terms of equality or no difference.
Null hypothesis (Ho)
26
refers to the assertion contradicting the null hypothesis. It is usually what the research claims or would like to prove.
Alternative hypothesis (Ha)