Year 8 - Portland Place School
... 1.6 Identify the necessary information to understand or simplify a context or problem; represent problems, making correct use of symbols, words, diagrams, tables and graphs; use appropriate procedures. Classify and visualise properties and patterns; generalise in simple cases by working logically. R ...
... 1.6 Identify the necessary information to understand or simplify a context or problem; represent problems, making correct use of symbols, words, diagrams, tables and graphs; use appropriate procedures. Classify and visualise properties and patterns; generalise in simple cases by working logically. R ...
Confidence Intervals for Means
... The Guinness Company didn’t give Gosset a lot of support for his work. In fact, it had a policy against publishing results. Gosset had to convince the company that he was not publishing an industrial secret and (as part of getting permission to publish) had to use a pseudonym. The pseudonym he chose ...
... The Guinness Company didn’t give Gosset a lot of support for his work. In fact, it had a policy against publishing results. Gosset had to convince the company that he was not publishing an industrial secret and (as part of getting permission to publish) had to use a pseudonym. The pseudonym he chose ...
Paper 2, Section I 3F Probability Let U be a uniform random variable
... Let A, B be events in the sample space Ω such that 0 < P (A) < 1 and 0 < P (B) < 1. The event B is said to attract A if the conditional probability P (A|B) is greater than P (A), otherwise it is said that A repels B. Show that if B attracts A, then A attracts B. Does B c = Ω \ B repel A? ...
... Let A, B be events in the sample space Ω such that 0 < P (A) < 1 and 0 < P (B) < 1. The event B is said to attract A if the conditional probability P (A|B) is greater than P (A), otherwise it is said that A repels B. Show that if B attracts A, then A attracts B. Does B c = Ω \ B repel A? ...
Good_2013_Introduction to Statistics Through Resampling Methods
... Although introduced in the 1930s, the numerous, albeit straightforward calculations that resampling methods require were beyond the capabilities of the primitive calculators then in use. They were soon displaced by less powerful, less accurate approximations that made use of tables. Today, with a po ...
... Although introduced in the 1930s, the numerous, albeit straightforward calculations that resampling methods require were beyond the capabilities of the primitive calculators then in use. They were soon displaced by less powerful, less accurate approximations that made use of tables. Today, with a po ...
Quantitative Data Cleaning for Large Databases
... literature, and many products in the marketplace. (The KDDNuggets website [PiatetskyShapiro, 2008] lists a number of current commercial data cleaning tools.) The space of techniques and products can be categorized fairly neatly by the types of data that they target. Here we provide a brief overview ...
... literature, and many products in the marketplace. (The KDDNuggets website [PiatetskyShapiro, 2008] lists a number of current commercial data cleaning tools.) The space of techniques and products can be categorized fairly neatly by the types of data that they target. Here we provide a brief overview ...
Module Evaluation Report
... 5.1 Probability distributions of continuous random variables A random variable X is called continuous if it can assume any of the possible values in some interval i.e. the number of possible values are infinite. In this case the definition of a discrete random variable (list of possible values with ...
... 5.1 Probability distributions of continuous random variables A random variable X is called continuous if it can assume any of the possible values in some interval i.e. the number of possible values are infinite. In this case the definition of a discrete random variable (list of possible values with ...
Measures of Center and Spread
... Measures of spread are used to describe the consistency of data values. They show the distance between data values and their distance from the center of the data. Two commonly used measures of spread for a set of numerical data are the range and interquartile range (IQR). The range is the difference ...
... Measures of spread are used to describe the consistency of data values. They show the distance between data values and their distance from the center of the data. Two commonly used measures of spread for a set of numerical data are the range and interquartile range (IQR). The range is the difference ...
Additional file 3
... 3) If t statistics or P values and sample sizes were provided, an intermediate calculation of r was performed using Cohen [1] and Abramowithz and Stegun [2] formulas. Effect sizes for 1 study used the t statistics (Boarnet et al.) and for 2 studies used P values (Heelan et al. and Mendoza et al.). I ...
... 3) If t statistics or P values and sample sizes were provided, an intermediate calculation of r was performed using Cohen [1] and Abramowithz and Stegun [2] formulas. Effect sizes for 1 study used the t statistics (Boarnet et al.) and for 2 studies used P values (Heelan et al. and Mendoza et al.). I ...
