Statistics - Normal Distribution A normal distribution is one of the theoretical distributions that has proved to be extremely useful and valuable in the study of statistics. The Gaussian curve gave an accurate picture of the effects of random variation. The nineteenth century mathematician Francis Galton gave the name normal...
Statistics - Distributions Binomial Distribution is a discrete probability distribution that applies when an experiment is conducted n times with each trial having a probability p of success and each trial being independent of every other trial. One can think of an experiment that has only two possible results: success...
Statistics - Measures of Central Tendency If a person is given a large pile of numbers then, there is no hope of understanding the numbers unless a way to work the numbers out is figured out. For example if a pizza parlor managers is trying to keep track of the...
Statistics - Probability Probabilities express the chance of events that cannot be predicted with certainty. Even unlikely events sometimes occur. The probability of an event is viewed as a numerical measure of the chance that the event will occur. The idea is naturally relevant to situations where the outcome of...
Understanding Statistics for Business and Economics – by www.helpwithassignment.com Team What Is Statistics? Statistics includes 1. Collecting Data - e.g., Survey 2. Presenting Data - e.g., Charts & Tables 3. Characterizing Data - e.g., Average The Application Areas of Statistics include Statistics - www.HelpwithAssignment.com There are 2 important types of Statistical Methods namely • Descriptive Statistics –...
Hypothesis is making an assumption. In Statistics, a Hypothesis or an assumption is taken first and then the Hypothesis is tested whether it is accurate or not. Hypothesis testing is a study based on statistical accuracy of an experiment. If the result is positive, then it is called statistically...
Regression is an important concept in Statistics. Regression is used to measure the relation between two or more variables where one is independent and the others are dependant variables. Regression can be used to predict the dependant variable when the independent variable is known. We can see an example to...
Statistics is an important subject at the University level. The relevance of the subject can be seen in large Corporations where the subject is utilized extensively for collecting, processing and understanding data. Even in computer programs like MS Office, Open Office and Google Documents, the application of spreadsheet software...
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