Podcast
Questions and Answers
Statistics involves performing arithmetic procedures like addition, division, subtraction, and multiplication on numerical data. True or False?
Statistics involves performing arithmetic procedures like addition, division, subtraction, and multiplication on numerical data. True or False?
True
The term 'statistics' pertains to the acts of collecting and analyzing numerical data. True or False?
The term 'statistics' pertains to the acts of collecting and analyzing numerical data. True or False?
True
The relationship between variables can be measured statistically by various correlation methods. True or False?
The relationship between variables can be measured statistically by various correlation methods. True or False?
True
Statistics only involves collecting and examining data, and does not involve analysis, planning, interpreting, and organizing data. True or False?
Statistics only involves collecting and examining data, and does not involve analysis, planning, interpreting, and organizing data. True or False?
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One of the instances in life where you try to determine if some characteristics are related to each other is civil status and managerial skills. True or False?
One of the instances in life where you try to determine if some characteristics are related to each other is civil status and managerial skills. True or False?
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Analyzing a correlative study using Pearson r is not a statistical method. True or False?
Analyzing a correlative study using Pearson r is not a statistical method. True or False?
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Linear correlation means that a change in one variable is at a constant rate with respect to the change in the second variable.
Linear correlation means that a change in one variable is at a constant rate with respect to the change in the second variable.
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In inverse correlation, for every increase in one variable, there is a corresponding decrease in the second variable.
In inverse correlation, for every increase in one variable, there is a corresponding decrease in the second variable.
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Curvilinear correlation means that a change in one variable is at a fixed rate.
Curvilinear correlation means that a change in one variable is at a fixed rate.
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Multiple correlations involve only two variables.
Multiple correlations involve only two variables.
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The Pearson Product-Moment Correlation Coefficient measures the non-linear relationship between two variables.
The Pearson Product-Moment Correlation Coefficient measures the non-linear relationship between two variables.
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The values of the coefficient of correlation ranges between +1 to -1, where zero represents no relationship.
The values of the coefficient of correlation ranges between +1 to -1, where zero represents no relationship.
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Joint correlation involves the dependent variable and one independent variable.
Joint correlation involves the dependent variable and one independent variable.
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Partial correlation considers the effect of all independent variables under study.
Partial correlation considers the effect of all independent variables under study.
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To obtain the quantitative value of the extent of the relationship between two sets of items, it is necessary to calculate the correlation coefficient.
To obtain the quantitative value of the extent of the relationship between two sets of items, it is necessary to calculate the correlation coefficient.
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A scatter diagram should be constructed prior to the computation of the Pearson r to determine non-linearity.
A scatter diagram should be constructed prior to the computation of the Pearson r to determine non-linearity.
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Statistics is a term that pertains to your acts of collecting and analyzing ______ data.
Statistics is a term that pertains to your acts of collecting and analyzing ______ data.
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Doing statistics means performing some arithmetic procedures like addition, division, subtraction, multiplication, and other mathematical ______.
Doing statistics means performing some arithmetic procedures like addition, division, subtraction, multiplication, and other mathematical ______.
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Statistics demands much of your time and effort, for it involves analysis, planning, interpreting, and organizing data in relation to the design of the experimental ______ you chose.
Statistics demands much of your time and effort, for it involves analysis, planning, interpreting, and organizing data in relation to the design of the experimental ______ you chose.
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Statistical methods are ways of gathering, analyzing, and interpreting variable or fluctuating ______ data.
Statistical methods are ways of gathering, analyzing, and interpreting variable or fluctuating ______ data.
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You usually associate height and weight, budget and expenses, mental ability and academic performance, sibling order and attitude, civil status and managerial skills and other aspects of life which may be related with one another. The relationship between variables can be measured statistically by various ______ methods.
You usually associate height and weight, budget and expenses, mental ability and academic performance, sibling order and attitude, civil status and managerial skills and other aspects of life which may be related with one another. The relationship between variables can be measured statistically by various ______ methods.
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The values of the coefficient of correlation ranges between +1 to -1, where zero represents ______ relationship.
The values of the coefficient of correlation ranges between +1 to -1, where zero represents ______ relationship.
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Linear Correlation means that a change in one variable is at a constant rate with respect to the change in the second variable. The correlation between the variables may either be showing direct or ______ relationship.
Linear Correlation means that a change in one variable is at a constant rate with respect to the change in the second variable. The correlation between the variables may either be showing direct or ______ relationship.
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The values of the coefficient of correlation ranges between +1 to -1. Zero represents no ______.
The values of the coefficient of correlation ranges between +1 to -1. Zero represents no ______.
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The Pearson Product-Moment Correlation Coefficient measures the ______ relationship between two variables.
The Pearson Product-Moment Correlation Coefficient measures the ______ relationship between two variables.
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The relationship between a dependent variable and two or more independent variables is usually measured in ______ correlation.
The relationship between a dependent variable and two or more independent variables is usually measured in ______ correlation.
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The Pearson Product-Moment Correlation Coefficient is commonly called the Pearson ______.
The Pearson Product-Moment Correlation Coefficient is commonly called the Pearson ______.
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Multiple correlations involve more than two ______.
Multiple correlations involve more than two ______.
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The relationship in non-linear correlation is similar to curvilinear correlation. However, in this correlation more than two ______ are involved.
The relationship in non-linear correlation is similar to curvilinear correlation. However, in this correlation more than two ______ are involved.
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Partial correlation is a relative measure of relationship between the dependent variable and a particular independent variable, without considering the effect of the other independent variables under ______.
Partial correlation is a relative measure of relationship between the dependent variable and a particular independent variable, without considering the effect of the other independent variables under ______.
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The Coefficient of Correlation measures the ______ relationship between two sets of items.
The Coefficient of Correlation measures the ______ relationship between two sets of items.
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Joint Correlation involves the dependent variable and two or more ______.
Joint Correlation involves the dependent variable and two or more ______.
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Study Notes
Statistics Basics
- Statistics involves collecting, analyzing, planning, interpreting, and organizing data, not just performing arithmetic procedures.
- The term 'statistics' pertains to the acts of collecting and analyzing numerical data.
Correlation Analysis
- Correlation measures the relationship between variables using various methods.
- Linear correlation means a change in one variable is at a constant rate with respect to the change in the second variable.
- Inverse correlation means a decrease in one variable corresponds to an increase in the second variable.
- Curvilinear correlation means a change in one variable is not at a constant rate with respect to the change in the second variable.
Correlation Coefficients
- The Pearson Product-Moment Correlation Coefficient measures the linear relationship between two variables.
- The values of the coefficient of correlation range from +1 to -1, where zero represents no relationship.
Types of Correlation
- Multiple correlations involve more than two variables.
- Partial correlation considers the effect of all independent variables under study.
- Joint correlation involves the dependent variable and two or more independent variables.
Analyzing Correlations
- A scatter diagram should be constructed prior to the computation of the Pearson r to determine non-linearity.
- To obtain the quantitative value of the extent of the relationship between two sets of items, it is necessary to calculate the correlation coefficient.
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Description
Test your knowledge on statistics by defining statistics, differentiating types of correlation, determining the appropriate type of correlation to use in a research study, and analyzing a correlative study using Pearson r.
