What would you like to do?
In statistics what does n equals mean?
Double play. When two runners are out with one ball.
Assuming you mean the t-statistic from least squares regression, the t-statistic is the regression coefficient (of a given independent variable) divided by its standard …error. The standard error is essentially one estimated standard deviation of the data set for the relevant variable. To have a very large t-statistic implies that the coefficient was able to be estimated with a fair amount of accuracy. If the t-stat is more than 2 (the coefficient is at least twice as large as the standard error), you would generally conclude that the variable in question has a significant impact on the dependent variable. High t-statistics (over 2) mean the variable is significant. What if it's REALLY high? Then something is wrong. The data points might be serially correlated. Assuming you mean the t-statistic from least squares regression, the t-statistic is the regression coefficient (of a given independent variable) divided by its standard error. The standard error is essentially one estimated standard deviation of the data set for the relevant variable. To have a very large t-statistic implies that the coefficient was able to be estimated with a fair amount of accuracy. If the t-stat is more than 2 (the coefficient is at least twice as large as the standard error), you would generally conclude that the variable in question has a significant impact on the dependent variable. High t-statistics (over 2) mean the variable is significant. What if it's REALLY high? Then something is wrong. The data points might be serially correlated.
Sog means shots on goal.. If that's what your referring to
primary data is a data that has been observed or collected first hand
The collection and analysis of large quantities of information in the form of numbers.
No. Descriptive statistics are those that characterise samples without attempting to draw conclusions. The purpose of them is to help investigators to form an un…derstanding of what the data might be capable of telling them. Descriptive statistics include graphs as well as measures of location, scale, correlation, and so on. Parametric statistics are those that are based on probabilistic models (ie, mathematical models involving probability) that involve parameters. For instance, an investigator might assume that her results have come from a population that is normally distributed with a certain mean and standard deviation; this would be a parametric model. She could estimate this pair of parameters, the mean and standard deviation, using parametric statistics, or test hypotheses about them, again using parametric statistics. In either case the parametric statistics she uses would be based on the parametric mathematical model she has chosen for her data.
The mathematics of the collection, organization, and interpretation of numerical data, especially the analysis of population characteristics by inference from sampling. Read …more: http://www.answers.com/topic/statistics#ixzz1XH7mRI9B
The word "Statistics" which comes from latin word status,meaning a political state,originally meant information useful to the state,for example, information about the sizes of… populations and armed forces.But this word has now acquired different meanings. In the firstly place, the word statistics refers to "numerical facts systematically arranged". In this sense, the word statistics is always used in the plural. We have, for instance, statistics of prices, statistics of road,accidents,statistics of crimes,statistics of births,statistics of educational institutions, etc. In all these examples, the word statistics denotes a set of numerical data in the respected fields. This is the meaning the man in the street gives to the word statistics and the most people usually use the word data instead In the second places, the word statistics is defined as a descipline that includes procedures and techniques used to collect, process and analyse numerical data to make inferences and to reach decisions in the face of uncertainty.In this sense, the word statistics is used in the singular. As it embodies more or less all stages of the general process of learning,sometimes called scientific method,statistics is characterized as a science. Thus the word statistics used in the plural refers to a set of numerical information and in the singular,denotes the science of basing decision on numerical data.It should be noted that statistics as a subject is mathematical in character. Thirdly, the word statistics are numerical quantities calculated from sample observations; a single quantity has been a calculated is called a statistic.The mean of a sample for instance is a statistic. The word statistics is plural when used in this sense It's depending upon you that how much you want to write answer By: Gulzar Hussain From. Dadu sind
n is the sample size.
The Population of the data set. If there was a study of 5000 people, 50 were randomly selected as a sample, then "N" would be 5000.
Finite populations mean a limited size population. Sometimes, a limited population is very large, so it may be treated as an infinite population, for statistical inferences. … In statistics, the population size may not be known. The assumption of infinite or finite population is important. If a survey is being conducted in a completely random manner, the same person could be surveyed twice. The chance of this occurring diminishes as the population increases.
The direction in which the trend analysis points.
I believe this question is asking what a population is in statistics. A "population" is simply the group from which a sample is drawn to conduct statistics. It is often wron…gly assumed that "population" refers to all people, at least in the social sciences, or all of whatever the research is studying in other fields. For example, suppose you wanted to know the average length of time that teenagers watch television. You would obviously not be able to ask every teenager. So you would collect data from a random sample of teenagers. Thus, your population would be teenagers. However, some caution is necessary. If you collected only from teenagers in the United States, you could not really say that your population is all teenagers in the world. You would probably describe the population as US teenagers. In this case, then, a responsible researchers should make an effort to collect data from different states. Expanding this, you can see how the issue becomes difficult. Some researchers maintain that if you collect only data from say, sophomores at one university (more common than you think), your population can only be all sophomores at that university. Other researchers are more liberal in expanding the definition of the population, and the debate is ongoing. What is important, however, is that the sample reasonably reflects the population. Thus, the boundaries of the population are rarely so wide as to include "all" or "every" of anything. But they must still be wide enough that the research has some importance beyond just the sample, which is the ultimate goal of both science and statistics. Where the line is drawn is often a decision that you have to make and justify yourself in your project.
descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive stati…stics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.
Im in statistics class and I been trying to figure out the answer too. I couldn't find it online. Luckily I had the answer to the problem I was trying answer, so to figure out… what it was I worked it backwards. BASICALLY I THINK ITS ANOTHER WAY OF SAYING (confidence interval) which for most problems is either 90% 95% 99% or in decimal form is .9 .95 .99