math 30 lecture 1 (1)

# Math 30 lecture 1 - PROBABILITY AND STATISTICS Introduction to Statistics and Data Analysis MATH 30 PROBABILITY AND STATISTICS Statistics A

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PROBABILITY AND STATISTICS Introduction to Statistics and Data Analysis MATH 30: PROBABILITY AND STATISTICS

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MATH 30: PROBABILITY AND STATISTICS Statistics A scientific study of knowledge that deals with Collection of data Organization/presentation of data Analysis and interpretation of data Statistics is especially useful in drawing general conclusions about a set of data from a sample of the data. Question: Does Statistics follows the scientific method? Explain why or why not?
MATH 30: PROBABILITY AND STATISTICS Branches of Statistics Descriptive Statistics is a statistical procedure concerned with describing the characteristics and properties of a group of persons, places or things. It is based on easily verifiable facts. Descriptive Statistics can answer questions such as: 1. What are the highest and lowest scores in the previous Math 30 final exam? 2. What proportion of the freshmen in Mapua are enrolled in CS/IT programs? 3. How many passed in the recent nursing licensure exam?

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MATH 30: PROBABILITY AND STATISTICS Inferential Statistics draws inferences about the population based on the data gathered from the samples using the techniques of descriptive statistics. Inferential Statistics can answer questions like: 1. What percentage of Filipinos are currently underemployed? 2. What proportion of Filipinos approved PNoy performance on his first six months of presidency? Note: Descriptive Statistics is the backbone of Inferential Statistics. Why is that so? Branches of Statistics
MATH 30: PROBABILITY AND STATISTICS 1. Population – a large collection of objects, places, or things. 2. Parameter – any numerical value that describes a population. Example: There are 5,786 students enrolled in MATH10-1. Population: students of MATH10-1 Parameter: 5,786 Terms:

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MATH 30: PROBABILITY AND STATISTICS 3. Sample – a small portion or part of a population; a representative of the population in a research study. 4. Statistic – any numerical value that describes a sample. Example: Of the 5,786 students enrolled in MATH10-1, 3,456 are female. Population: students of MATH10-1 Parameter: 5,786 Sample: Female students in MATH10-1 Statistic: 3,456 Terms:
MATH 30: PROBABILITY AND STATISTICS Data are facts (a set of information) gathered or under study. Types of Data 1. Primary Data – refer to information which are gathered directly from an original source or which the researcher gathered himself. 2. Secondary Data – refer to information which are taken from published or unpublished data previously gathered by other individuals or agencies. Question: What example of data are under study? Data

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MATH 30: PROBABILITY AND STATISTICS Quantitative Data – numerical in nature and therefore, meaningful arithmetic can be done. Qualitative Data – attributes which cannot be subjected to
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## This note was uploaded on 08/30/2011 for the course COMPUTER computer taught by Professor Ms during the Spring '10 term at Oxford University.

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Math 30 lecture 1 - PROBABILITY AND STATISTICS Introduction to Statistics and Data Analysis MATH 30 PROBABILITY AND STATISTICS Statistics A

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