How does the Confidence Interval/Hypothesis Testing for the Difference of Means Calculator work?
Free Confidence Interval/Hypothesis Testing for the Difference of Means Calculator - Given two large or two small distriutions, this will determine a (90-99)% estimation of confidence interval for the difference of means for small or large sample populations.
Also performs hypothesis testing including standard error calculation.
This calculator has 7 inputs.
Also performs hypothesis testing including standard error calculation.
This calculator has 7 inputs.
What 2 formulas are used for the Confidence Interval/Hypothesis Testing for the Difference of Means Calculator?
α = 1 - Confidence%
(x1 - x2) - zscoreα x √a < μ1 - μ2 < (x1 - x2) + zscoreα x √a
(x1 - x2) - zscoreα x √a < μ1 - μ2 < (x1 - x2) + zscoreα x √a
What 7 concepts are covered in the Confidence Interval/Hypothesis Testing for the Difference of Means Calculator?
- alternative hypothesis
- opposite of null hypothesis. One of the proposed proposition in the hypothesis test.
H1 - confidence interval
- a range of values so defined that there is a specified probability that the value of a parameter lies within it.
- confidence interval/hypothesis testing for the difference of means
- hypothesis testing
- statistical test using a statement of a possible explanation for some conclusions
- mean
- A statistical measurement also known as the average
- null hypothesis
- in a statistical test, the hypothesis that there is no significant difference between specified populations, any observed difference being due to sampling or experimental error.
H0 - standard error
- measures how far the sample mean (average) of the data is likely to be from the true population mean
SE = σ/√n
