Applied Stat for Bio Sci
Applied Stat for Bio Sci STA 100
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This 4 page Class Notes was uploaded by Carmen Mayer on Tuesday September 8, 2015. The Class Notes belongs to STA 100 at University of California - Davis taught by Abdolrahman Azari in Fall. Since its upload, it has received 33 views. For similar materials see /class/191907/sta-100-university-of-california-davis in Statistics at University of California - Davis.
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Date Created: 09/08/15
II III STA 100 Lecture 9 Review of the Topics for Midterm I Introduction The objective of statistics is to make inferences about a population based on information contained in a sample A population is the collection of all items individuals plants corporations in a study A sample is a portion of the population selected to represent the whole population Parameter A descriptive measure of a population Statistic A descriptive measure of a sample Two Types of Statistical Analysis a Descriptive Statistics Statistical methods used to develop tabular graphical andor numerical summaries of data b Inferential Statistics The process of using data from a sample to draw conclusions about a population Descriptive Statistics Sampling Unit Data Descriptive Statistics Types Data Numerical Descriptive Measures Sample Mean Median Mode Quartiles Range Sample Variance Sample Standard Deviation Coefficient of Variation Interquartile Range The zScore zscore Xmean standard deviation IV Data Collection and Sampling V Probability and Discrete Probability Distributions p x Introduction 97 What is the use of probability 0 Probability allows us to handle variations in experimental outcomes mathematically It helps us to deal with uncertainties 0 Statistical inference is based on probability 6 Experiment Process of observing a random phenomenon 0 Sample Space The set of all possible distinct outcomes 9 Event The set of all outcomes having a certain feature N Probability Rules 0 Conditional Probability and Independence 97 Let A and B be two events such that PB 3 0 The conditional probability of A given B is defined as PAB PA and B PB U Multiplication Rule Use the definition of conditional probability PA and B PA PBA PB PAB 0 Independence Events A and B are independent if PAB PA or PBA PB This leads to PA and B PA PB Example In a hospital 60 of the employees are certified medical professionals and 80 of the employees are fulltime Ninety percent of the professionals are fulltime We select an employee at random a What is the probability that the selected employee is a professional fulltime employee b What is the probability that employee is a medical professional or a fulltime employee c Are being a medical professional employee and being a fulltime employee two independent events d What percentage of the fulltime employees of this plant is skilled
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