Chapter 1 4 parts of scales measurement 1. Nominal The last(a) scale , no charm or sequence 2. Ordinal topics appoint in rank pose from lowest to highest or valetudinarianism versa 3. Interval Arbitary range in and not re endow absence of the characteristic 4. Ratio The highest scale and full zero Statistic can be viewed in two perspectives: 1. Numerical facts 2. A field or chastening of analyze much(prenominal) as research 3 types of statistic 1. Purpose = descriptive -Inferential 2. pre sayption = Parametric Nonparametric 3. Number of variables = Univariate- bivariate- multivariate Descriptive inferential- Numerical estimates that organize and sum up or present the data Inferential statistic The process of inferring from a sample to the cosmos. 3 components of descriptive statistic 1. Measures of central tendency manner , median , mean 2. Measures of variation Range, percentiles , bar deviation 3. Measures of skewness & kurtosis datum Is one notification or so the variable being measured info A exhibition of observation macrocosm Consists of all subjects about whom the study is being conducted test Is a sub group of population being examined 2 type of samples 1. Probability samples- systematic samples, dot samples 2.
Non probability samples pleasant samples, purposive samples Variables- characteristics studied that assume dissimilar determine for different elements 2 types of variables 1. Discrete variable Has gaps amongst its values such as gender where male is 1 and female is 0 2. persisting variable Has no gaps between its values such as board Chapter 2: Probability and mouth theorem Probability: Is a off gear up printing of mathematic that deals with quantifying and modeling the uncertainty relating to ergodic experiments savor quad : The set of all possible outcomes Sample point : Is a possible outcome Null example contains no sample point An event is a set of...If you want to select a abundant essay, ordinate it on our website:
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