One Sample t Statistic for Mean Solution

STEP 0: Pre-Calculation Summary
Formula Used
t Statistic = (Sample Mean-Population Mean)/Standard Error
t = (-μPopulation)/SE
This formula uses 4 Variables
Variables Used
t Statistic - t Statistic is the value obtained from a t-test, which compares the means of two groups to determine if they are significantly different.
Sample Mean - Sample Mean is the average of a set of values from a sample. It provides an estimate of the population mean and is a statistic because it describes the sample and is calculated from sample data.
Population Mean - Population Mean is the average of all the values in a population. It represents the central tendency of the entire group and is a parameter because it describes the entire population.
Standard Error - Standard Error is the measure of the variability of sample statistics, particularly the sample mean. It quantifies the precision of the sample mean as an estimate of the population mean.
STEP 1: Convert Input(s) to Base Unit
Sample Mean: 25 --> No Conversion Required
Population Mean: 20 --> No Conversion Required
Standard Error: 2.5 --> No Conversion Required
STEP 2: Evaluate Formula
Substituting Input Values in Formula
t = (x̄-μPopulation)/SE --> (25-20)/2.5
Evaluating ... ...
t = 2
STEP 3: Convert Result to Output's Unit
2 --> No Conversion Required
FINAL ANSWER
2 <-- t Statistic
(Calculation completed in 00.004 seconds)

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2 Hypothesis Testing Calculators

Standardized Test Statistic
Go Standardized Test Statistic = (Statistic-Parameter)/(Standard Deviation of Statistic)
One Sample t Statistic for Mean
Go t Statistic = (Sample Mean-Population Mean)/Standard Error

One Sample t Statistic for Mean Formula

t Statistic = (Sample Mean-Population Mean)/Standard Error
t = (-μPopulation)/SE

What is Hypothesis Testing in Statistics?

Hypothesis Testing is a statistical method used to determine whether there is evidence in a sample of data to suggest that a certain condition or relationship exists in a larger population. The process involves specifying a null hypothesis, which represents the default assumption or status quo, and an alternative hypothesis, which represents the claim or condition that is being tested.
Then a test statistic is calculated based on the sample data, and a p-value is determined, which represents the probability of obtaining the observed test statistic (or a more extreme value) under the assumption that the null hypothesis is true. If the p-value is less than a pre-determined significance level (usually 0.05), the null hypothesis is rejected in favor of the alternative hypothesis, indicating that there is significant evidence to suggest that the condition or relationship exists in the larger population.

How to Calculate One Sample t Statistic for Mean?

One Sample t Statistic for Mean calculator uses t Statistic = (Sample Mean-Population Mean)/Standard Error to calculate the t Statistic, One Sample t Statistic for Mean formula is defined as the value obtained from a t-test, which compares the means of two groups to determine if they are significantly different. t Statistic is denoted by t symbol.

How to calculate One Sample t Statistic for Mean using this online calculator? To use this online calculator for One Sample t Statistic for Mean, enter Sample Mean (x̄), Population Mean Population) & Standard Error (SE) and hit the calculate button. Here is how the One Sample t Statistic for Mean calculation can be explained with given input values -> 10 = (25-20)/2.5.

FAQ

What is One Sample t Statistic for Mean?
One Sample t Statistic for Mean formula is defined as the value obtained from a t-test, which compares the means of two groups to determine if they are significantly different and is represented as t = (x̄-μPopulation)/SE or t Statistic = (Sample Mean-Population Mean)/Standard Error. Sample Mean is the average of a set of values from a sample. It provides an estimate of the population mean and is a statistic because it describes the sample and is calculated from sample data, Population Mean is the average of all the values in a population. It represents the central tendency of the entire group and is a parameter because it describes the entire population & Standard Error is the measure of the variability of sample statistics, particularly the sample mean. It quantifies the precision of the sample mean as an estimate of the population mean.
How to calculate One Sample t Statistic for Mean?
One Sample t Statistic for Mean formula is defined as the value obtained from a t-test, which compares the means of two groups to determine if they are significantly different is calculated using t Statistic = (Sample Mean-Population Mean)/Standard Error. To calculate One Sample t Statistic for Mean, you need Sample Mean (x̄), Population Mean Population) & Standard Error (SE). With our tool, you need to enter the respective value for Sample Mean, Population Mean & Standard Error and hit the calculate button. You can also select the units (if any) for Input(s) and the Output as well.
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