Statistics
| Institution | Masinga Technical & Vocational College |
| Year | 2021/2022 |
| Semester | 3rd Year, 3rd Semester (3.3) |
| Posted By | Juliannah Luku |
| File Type | |
| Pages | 2 Pages |
| File Size | 99.18 KB |
| Views | 740 |
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STS 102: DESCRIPTIVE STATISTICS
Statistics is concerned with the scientific method of collecting, organizing,
summarizing, presenting and analyzing statistical information (data) as well as
drawing valid conclusion on the basis of such analysis. It could be simply defined as
the science of data. Thus, statistics uses facts or numerical data, assembled,
classified and tabulated so as to present significant information about a given
subject. Statistic is a science of understanding data and making decisions in the face
of randomness.
64 Pages
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CCU 225: APPLIED STATISTICS
The course is designed to introduce the learner to the purpose and meaning of Statistics; and to the use of statistics in research design, data collection, data analysis and research reporting, especially in counseling psychology.
139 Pages
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SMA 2272/STA 2270 STATISTICS
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Classical and axiomatic approaches to probability. Compound and conditional probability, including Bayes' theorem. Concept of discrete random variable: expectation and variance. Data: sources, collection, classification and processing. Frequency distributions and graphical representation of data, including bar diagrams, histograms and stem-and-leaf diagrams. Measures of central tendency and dispersion. Skewness and kurtosis. Correlation. Fitting data to a best straight line.
Pre-Requisites: STA 2104 Calculus for statistics I, SMA 2104 Mathematics for Science.
121 Pages
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SMA 2104: Mathematics for Sciences - Lesson 8 Statistics
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Upon completing this topic,you should be able to Collect, organize, and represent data, and be able to recognize and describe relationships. Apply the principles of statistics to solve problems in real world contexts. Demonstrate knowledge of statistical terms. Differentiate between the two branches of statistics. Identify types of data. Understand and use the basic measure of central tendency
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MATH 240: PROBABILITY AND STATISTICS I
A random variable is a rule that assigns a numerical value to each outcome in
the sample space. It maps events from the sample space S to the real numbers
X: X : S-R, that is, if S is the sample space with a probability measure and
X is a function defined with real values over the elements of S, then X is called
a random variable and associates a real number with each result in the sample
space.
60 Pages
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NURS 911: ADVANCED BIOSTATISTICS EXAM PAPER
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