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avedev average-weighted average averagea averageif averageifs beta-dist beta-inv binom-dist binom-inv binomdist chidist chiinv chisq-dist-rt chisq-dist chisq-inv-rt chisq-inv chitest confidence-norm confidence-t correl count counta covar covariance-p covariance-s critbinom devsq expon-dist expondist f-dist-rt f-dist f-inv-rt f-inv f-test fisher fisherinv forecast-linear forecast ftest gamma-dist gamma-inv gamma gammadist gammainv gauss geomean harmean hypgeom-dist hypgeomdist intercept kurt large loginv lognorm-dist lognorm-inv lognormdist marginoferror max maxa maxifs median min mina minifs mode-mult mode-sngl mode negbinom-dist negbinomdist norm-dist norm-inv norm-s-dist norm-s-inv normdist norminv normsdist normsinv pearson percentile-exc percentile-inc percentile percentrank-exc percentrank-inc percentrank permut permutationa phi poisson-dist prob quartile-exc quartile-inc quartile rank-avg rank-eq rank rsq skew-p skew slope small standardize stdev-p stdev-s stdev stdeva stdevp stdevpa steyx t-dist-2t t-dist t-inv-2t t-inv t-test tdist tinv trimmean ttest var-p var-s var vara varp varpa weibull-dist weibull z-test ztest

Formula Generator - T.DIST.RT function

The T.DIST.RT function returns the right-tailed Student distribution for a given value of x and degrees of freedom. It is commonly used in statistical analysis to calculate probabilities, find critical values, and calculate confidence intervals in the Student distribution.
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How to generate an T.DIST.RT formula using AI.

To obtain the T.DIST.RT formula from an AI chatbot, you could ask the following question: "What is the formula for the right-tailed Student's t-distribution in Excel?"

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T.DIST.RT formula syntax.

The T.DIST.RT function in Excel calculates the right-tailed probability of the Student's t-distribution. It is typically used to determine the probability that a random variable from a t-distribution is greater than a given value. The syntax for T.DIST.RT is as follows: T.DIST.RT(x, degrees_freedom) - x: The value at which you want to evaluate the right-tailed probability. - degrees_freedom: The degrees of freedom for the t-distribution. The degrees of freedom represent the number of independent observations in a sample. The T.DIST.RT function assumes that the data follows a normal distribution. The result of the T.DIST.RT function is a probability between 0 and 1. A value close to 0 indicates a very low probability, while a value close to 1 indicates a high probability. Here's an example of how to use the T.DIST.RT function: =T.DIST.RT(2.5, 10) This formula calculates the right-tailed probability for a t-distribution with 10 degrees of freedom, at the value of 2.5.

Use Cases & Examples In these use cases, we use the T.DIST.RT function to calculate the right-tailed probability of a Student's t-distribution. This formula is commonly used to find the probability of observing a value greater than a given value in a t-distribution.
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