An alpha error is another name in statistics for a type I error, rejecting the null hypothesis when the null hypothesis is true.
Alpha is the probability that the test statistics would assume a value as or more extreme than the observed value of the test, BY PURE CHANCE, WHEN THE NULL HYPOTHESIS IS TRUE.
Significance Level (Alpha Level): If the level is set a .05, it means the statistician is acknowledging that there is a 5% chance the results of the findings will lead them to an incorrect conclusion.
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
There are two types of statistics. One is called descriptive statistics and the other is inferential statistics. Descriptive statistics is when you use numbers. Inferential statistics is when you draw conclusions or make predictions.
Before conducting a significance test, the statistician will choose an alpha level. Depending upon the severity of having type I or type II error, the statistician will make the alpha level higher or lower. Generally in courts, the alpha level is .05. The other common alpha levels for significance tests are .10 and .01.
An alpha error is another name in statistics for a type I error, rejecting the null hypothesis when the null hypothesis is true.
Deuterons are composed of one proton and one neutron, so statistics that consider particles with internal structure (like fermions) apply. Alpha particles are helium nuclei, consisting of two protons and two neutrons, also following fermionic statistics. Both deuteron and alpha particles are composite particles composed of fermions and exhibit the characteristics of fermionic statistics.
the strongest wolves are the alphas and the weakest wolves are the omegas
Cronbach's alpha refers to a coefficient of reliability. This can be written as a purpose of the number of test items and its average inter-correlation. Cronbach's alpha commonly increases as the correlation of the items increase.
If we reject the null hypothesis, we conclude that the alternative hypothesis which is the alpha risk is true. The null hypothesis is used in statistics.
In the context of regression, it is the y-intercept: the value of the dependent variable when the independent is zero.
x = r*cos(theta) y = r*sin(theta) for alpha < theta < alpha + 90 degrees where r is the radius and alpha is any angle (which determines the direction in which the quarter circle is facing).
You select the alpha level based on a number of factors. One consideration is the variability of the characteristic which you are trying to measure. Another, very important criterion is the importance of the decision to be made. If the consequences of the wrong decision are dire then you want a very high alpha, otherwise you may prefer a lower alpha.
Alpha is not generally used in regression analysis. Alpha in statistics is the significance level. If you use a TI 83/84 calculator, an "a" will be used for constants, but do not confuse a for alpha. Some may, in derivation formulas for regression, use alpha as a variable so that is the only item I can think of where alpha could be used in regression analysis. Added: Though not generally relevant when using regression for prediction, the significance level is important when using regression for hypothesis testing. Also, alpha is frequently and incorrectly confused with the constant "a" in the regression equation Y = a + bX where a is the intercept of the regression line and the Y axis. By convention, Greek letters in statistics are sometimes used when referring to a population rather than a sample. But unless you are explicitly referring to a population prediction, and your field of study follows this convention, "alpha" is not the correct term here.
Data intelligence looks at statistics and determines future trends and possibilities, usually having to do with investments. Data management is important.
Someone could find a help forum for probability and statistics math problems from the website Wolfram Alpha. The website has a forum as well as an engine that completes math problems.