Answered: I'm having trouble using the t-test…

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I'm having trouble using the t-test calculator for a single sample on https://www.socscistatistics.com, whenever i input the information i keep getting an error message saying: Your sample size is too small to allow a reliable calculation of the t statistic. Please input additional paired values.

These are the instructions: Using the T-test Calculator for a Single Sample, enter (paste) the data into the box “Sample X”. Enter 2899 as the population mean. Then, assuming a two-tailed test, answer the following questions(Note: In order for a statistically significant difference to exist, the value of p must be equal to or less than the significance level).

Number I was given to use for sample X is 254,328

Here is a problem I'm supposed to so: At the assuming .01 significance level, is there a statistically significant difference between a population mean of 2899 and the sample mean? ___, t=___, p=___

Definition Definition Measure of central tendency that is the average of a given data set. The mean value is evaluated as the quotient of the sum of all observations by the sample size. The mean, in contrast to a median, is affected by extreme values. Very large or very small values can distract the mean from the center of the data. Arithmetic mean: The most common type of mean is the arithmetic mean. It is evaluated using the formula: μ = 1 N ∑ i = 1 N x i Other types of means are the geometric mean, logarithmic mean, and harmonic mean. Geometric mean: The nth root of the product of n observations from a data set is defined as the geometric mean of the set: G = x 1 x 2 ... x n n Logarithmic mean: The difference of the natural logarithms of the two numbers, divided by the difference between the numbers is the logarithmic mean of the two numbers. The logarithmic mean is used particularly in heat transfer and mass transfer. ln x 2 − ln x 1 x 2 − x 1 Harmonic mean: The inverse of the arithmetic mean of the inverses of all the numbers in a data set is the harmonic mean of the data. 1 1 x 1 + 1 x 2 + ...

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