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WorksheetsPART 1- Statistical Learning)
Total questions: 20
Worksheet time: 21mins
What are types of statistics?
Descriptive and Inferential Statistics
Causal and Inferential Statistics
Prescriptive and Inferential Statistics
Descriptive and Prescriptive Statistics
The science of collecting, describing, and interpreting data.
Sample
Probability
Variable
Statistic
Collection, presentation, and description of sample data.
Descriptive Statistics
Inferential Statistics
Qualitative Variable
Quantitative Variable
Making decisions and drawing conclusions about populations.
Descriptive Statistics
Inferential Statistics
Qualitative Variable
Quantitative Variable
Determine your height and weight?
Discrete
Continuous
A collection, or set, of individuals or objects or events whose properties are to be analyzed.
Sample
Statistic
Population
Variable
What is the mean?
4, 5, 6, 7, 3, 4, 10, 1
7
4.5
5
8
A _______ is a subset of a population
Sample
Population
Group
Statistics
What is Quantitative Data?
Consist of attributes, labels, or nonnumerical entries.
Consist of numerical measurements or counts.
Consist of a subset of the population.
What is Qualitative Data?
Consist of a subset of the population.
Consist of numerical measurements or counts.
Consist of attributes, labels, or nonnumerical entries.
What are NOT the type of random sampling method?
Simple random sample
Stratified sample
Classified sample
Cluster sample
What is the CORRECT definition of Cluster Sample?
Each sample of the same size has an equal chance of being selected
Divide the population into groups called strata and then take a sample from each strata
Divide the population into strata and then randomly select some of the strata.
Randomly select a starting point and take every n-th piece of data from the population
What are NOT non-random sampling method?
Convenience sample
Purposive Sample
Bias Sample
Quota Sample
What is an ordinal scale?
The order or rank of the data is meaningful.
The differencies or intervals between data values indicate how much more or less of a variable one object of interest possesses when compared to another object of interest.
differences
The ratio of two data values is meaningful.
What will be the statistical test for non-parametric method for one sample, two qualitative variables?
Wilcoxon signed rank test
Correlation coefficient of Spearman
Correlation coefficient of Pearson
Z-paired test
Discriminant analysis is a technique for analysing data when the (a) variables are categorical in nature.
The discriminant analysis is written as follows:
Y = b0 + b1 X1 + b2 X2 + b3 X3
True
False
The discriminant analysis is written as:
Y = b0 + b1 X1 + b2 X2 + b3 X3
What is b?
Dependent variable
Coefficients of independent variable
Predictor
Larger eigen value implies bad discrimination
True
False
Discriminant analysis techniques are used to classify individuals into one of two or more alternative groups (or populations) on the basis of a set of measurements.
True
False
