Description
We present two aspects of inferential statistics known as confidence intervals and hypothesis
testing. Confidence intervals determine the level of confidence in pointwise statistics (e.g. mean, variance) of the
sample in relation to the statistics for the entire population. With hypothesis testing the user can judge which of
several hypotheses sampled evidence best supports.
Product Details
Within this XL Category we implement methods to calculate the following:
- Normal Confidence Interval - used when large samples with greater than 30 elements are considered
- Two-sided confidence interval for the mean, proportions, difference between means and difference between
proportions
- One-sided confidence interval for the mean, proportions and difference between means
- Estimating the sample size for a given confidence of the mean
- Estimating the sample size for a given confidence of the proportions
- Student Confidence Interval - used when small samples with less than 30 elements are considered
- Two-sided confidence interval for the mean and the difference between means
- One-sided confidence interval for the mean
- Normal Hypothesis Testing - used when large samples with greater than 30 elements are considered
- Two-sided hypothesis testing for the mean, proportions, difference between means and difference between proportions
- One-sided hypothesis testing for the mean, proportions, difference between means and difference between proportions
- Student Hypothesis Testing - used when small samples with less than 30 elements are considered
- Two-sided hypothesis testing for the mean, proportions and the difference between means
- One-sided confidence interval for the mean, proportions and difference between means
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