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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.

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Q: What does a high t statistic mean?
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What does a high t-statistic mean?

A high z-score (or t-score, depending on what info you've been given for the data) means that a number is very far away from the mean (average) number. This number might be an outlier.


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A high F statistic would results in a lower Sig, or P value, which would indicate that your results are significant.


What does high T waves on ECG mean?

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What are some factors influencing the numerator and denominator t-statistic?

Several factors influence the value obtained for a t statistic. Some factors affect the numerator of the t statistic and others influence the size of the estimated standard error in the denominator. For each of the following, indicate whether the factor influences the numerator of dominator of the t statistic and determine whether the effect would be to increase the value of t (farther from zero) or decrease the value of t (closer to zero). In each case, assume that all other factors remain constant. a. Increase the variability of the scores. b. Increase the number of scores in the sample. Increase the difference between the sample mean and the population mean.


When the null hypothesis is true the t statistic will have an average value of?

"Whenever the t-statistic is farther from 0 than the t-critical value, the null hypothesis is rejected; otherwise, the null hypothesis is retained" Example: t = (M-μ0)/ (SD / Sqrt N) M is the sample mean and μ0 is the hypothetical mean. For a paired-samples t-test, M is the mean of the difference scores and μ0 is 0. SD is the standard deviation (of the difference scores in the case of a paired-samples t-test) and N is the number of subjects in the sample.


What set of sample characteristics is most likely to produce a significant t statistic?

a small mean difference and large sample variances


What does a low t statistics mean?

T-statistic or t-value measures how many standard errors the coefficient. The higher the t-value, the greater the confidence placed in the coefficient as a predictor. Low t-values are indications of low reliability of the predictive power of that coefficient. Any value of -2 or lower is acceptable,


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Could high count of T cells mean cancer of some sort?

A high T cell count could mean one of many things. There is no single conclusion that can be drawn from a high T cell count unless a complete blood test is done and the T cell count is looked at along with other data. However, generally speaking, a high T cell count correlates with an infection of some kind


What is the p value of a test statistic of 1.369?

The answer depends on what the test statistic is: a t-statistic, z-score, chi square of something else.


Is a t-test a descriptive statistic?

A t-test is a inferential statistic. Other inferential statistics are confidence interval, margin of error, and ANOVA. An inferential statistic infers something about a population. A descriptive statistic describes a population. Descriptive statistics include percentages, means, variance, and regression.