Hoeffding, W.; (1962)Probability inequalities for sums of bounded random variables."
... a positive number nt. It is assumed that the range of each summand of S is bounded or bounded above. The bounds for Pr(S-ES > ntJ depend only on the endpoints of the ranges of the smumands and the mean, or the mean and the v~riance of S. These results are then used to obtain analogous inequalities f ...
... a positive number nt. It is assumed that the range of each summand of S is bounded or bounded above. The bounds for Pr(S-ES > ntJ depend only on the endpoints of the ranges of the smumands and the mean, or the mean and the v~riance of S. These results are then used to obtain analogous inequalities f ...
Introduction to Statistical Quality Control, 4th Edition
... 7-3.5 Confidence Intervals and Tests on Process Capability Ratios Testing Hypotheses about PCRs • The hypotheses may be stated as H0: Cp Cp0 (process is not capable) H0: Cp Cp0 (process is capable) • We would like to reject Ho • Table 7-5 provides sample sizes and critical values for testing H0 ...
... 7-3.5 Confidence Intervals and Tests on Process Capability Ratios Testing Hypotheses about PCRs • The hypotheses may be stated as H0: Cp Cp0 (process is not capable) H0: Cp Cp0 (process is capable) • We would like to reject Ho • Table 7-5 provides sample sizes and critical values for testing H0 ...
Elementary Business Statistics
... A particular item in a population or sample is called an element or member of the population or sample. A variable is a measurable or observable characteristic of the elements of a population or sample. The values of a variable differ among these elements. The value of a variable is called a measure ...
... A particular item in a population or sample is called an element or member of the population or sample. A variable is a measurable or observable characteristic of the elements of a population or sample. The values of a variable differ among these elements. The value of a variable is called a measure ...
The process of Statistics
... Sampling Distribution of the (sample) mean (Central Limit Theorem) Let μ = mean for the population of interest Let σ = standard deviation for the population of interest Let x = mean for the sample (sample mean) If numerous random samples of the same size n are taken and the n observations of each sa ...
... Sampling Distribution of the (sample) mean (Central Limit Theorem) Let μ = mean for the population of interest Let σ = standard deviation for the population of interest Let x = mean for the sample (sample mean) If numerous random samples of the same size n are taken and the n observations of each sa ...
The invention of random variables
... became a real-valued function. Khinchin quickly followed Fréchet in using variable aléatoire when he wrote in French and then also adopted zufällige Variable in German. By 1931 everyone, including Lévy, was following Fréchet and using variable aléatoire in French. ...
... became a real-valued function. Khinchin quickly followed Fréchet in using variable aléatoire when he wrote in French and then also adopted zufällige Variable in German. By 1931 everyone, including Lévy, was following Fréchet and using variable aléatoire in French. ...
the notes
... 1. A food company is planning to market a new type of frozen yogurt. However, before marketing this yogurt, the company wants to find what percentage of the people like it. The company’s management has decided that it will market this yogurt only if at least 35% of the people like it. The company’s ...
... 1. A food company is planning to market a new type of frozen yogurt. However, before marketing this yogurt, the company wants to find what percentage of the people like it. The company’s management has decided that it will market this yogurt only if at least 35% of the people like it. The company’s ...
Scientific Investigation: Statistical Analysis
... Any estimates of size or age we made from this biased sample would poorly represent the population we are trying to study. After collecting our sample, we can measure each individual and then use these measurements to develop an idea about the population. If we are interested in fish size, we could ...
... Any estimates of size or age we made from this biased sample would poorly represent the population we are trying to study. After collecting our sample, we can measure each individual and then use these measurements to develop an idea about the population. If we are interested in fish size, we could ...
What the one-way ANOVA for?
... Application of One-way ANOVA Example: A one-way ANOVA is used to understand whether exam performance differed based on the anxiety levels amongst students, dividing students into three independent groups (e.g., low, medium and high-stressed students). It only tells you that at least two groups were ...
... Application of One-way ANOVA Example: A one-way ANOVA is used to understand whether exam performance differed based on the anxiety levels amongst students, dividing students into three independent groups (e.g., low, medium and high-stressed students). It only tells you that at least two groups were ...
