Module One: Exploring Data
Constructing and interpreting graphical displays of distributions of univariate data: Dotplot, stemplot, histogram, cumulative frequency plot Center and spread Clusters and gaps Outliners and other unusual features Shape Summarizing distributions of univariate data: Measurin..
Constructing and interpreting graphical displays of distributions of univariate data: Dotplot, stemplot, histogram, cumulative frequency plot Center and spread Clusters and gaps Outliners and other unusual features Shape Summarizing distributions of univariate data: Measurin..Module Four: Statistical Inference Module Four: Statistical Inference - Estimation (point estimators and confidence intervals): Estimating population parameters and margins of error Properties of point estimators, including unbiasedness and variability Logic of confidence intervals, meaning of confidence level and confiden..
Module Four: Statistical Inference - Estimation (point estimators and confidence intervals): Estimating population parameters and margins of error Properties of point estimators, including unbiasedness and variability Logic of confidence intervals, meaning of confidence level and confiden..Module Three: Anticipating Patterns Probability: Interpreting probability, including long-run relative frequency interpretation 'Law of Large Numbers' concept Addition rule, multiplication rule, conditional probability, and independence Discrete random variables and their probability distributions, including binomial and ..
Probability: Interpreting probability, including long-run relative frequency interpretation 'Law of Large Numbers' concept Addition rule, multiplication rule, conditional probability, and independence Discrete random variables and their probability distributions, including binomial and ..Module Three: Anticipating Patterns Module Three: Anticipating Patterns - Probability: Interpreting probability, including long-run relative frequency interpretation 'Law of Large Numbers' concept Addition rule, multiplication rule, conditional probability, and independence Discrete random variables and their probability distribution..
Module Three: Anticipating Patterns - Probability: Interpreting probability, including long-run relative frequency interpretation 'Law of Large Numbers' concept Addition rule, multiplication rule, conditional probability, and independence Discrete random variables and their probability distribution..Summary
1. The mean deviation (M.D) of a statistical data is defined as the arithmetic mean of the numerical values of the deviations of the items from some average. 2. The standard deviation of a statistical data is defined as the positive square root of the A.M of the squa..
Summary
In a simple bar graph, the height of each bar represents the frequency. The thickness has no significance. All bars to have the same thickness. We use double bar graph when we want to compare two things. In the pie chart, In the frequency polygon, the frequency is plotted against the m..
In a simple bar graph, the height of each bar represents the frequency. The thickness has no significance. All bars to have the same thickness. We use double bar graph when we want to compare two things. In the pie chart, In the frequency polygon, the frequency is plotted against the m..Summary
The Arithmetic mean is obtained by dividing the sum of all the items in the list by the total number of items. Direct method M = Where x is mid-interval f is frequency M is mean Short cut method where A = assumed mean d = x - A Step deviation method Where i = class siz..
The Arithmetic mean is obtained by dividing the sum of all the items in the list by the total number of items. Direct method M = Where x is mid-interval f is frequency M is mean Short cut method where A = assumed mean d = x - A Step deviation method Where i = class siz..Summary
The fundamental principle of counting (F.P.C) states that if an operation can be performed in m different ways and if for each such choice, another operation can be performed in n different ways, then both operations, in succession can be performed in exactly mn different ways. The principle can ..
The fundamental principle of counting (F.P.C) states that if an operation can be performed in m different ways and if for each such choice, another operation can be performed in n different ways, then both operations, in succession can be performed in exactly mn different ways. The principle can ..Summary
Let A and B be two events. Then, where S is the sample space. Note that simple events of a sample space are always mutually exclusive. Sample space: Set of all possible outcomes of a random experiment. Event : An event of a random experiment is defined as a subset of the sample space. Equally likel..
Let A and B be two events. Then, where S is the sample space. Note that simple events of a sample space are always mutually exclusive. Sample space: Set of all possible outcomes of a random experiment. Event : An event of a random experiment is defined as a subset of the sample space. Equally likel..Summary
P {Occurrence of A given that B has occurred} = P (A|B) ..
P {Occurrence of A given that B has occurred} = P (A|B) ..See what our Users say :
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