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2. Standard normal table - Wikipedia

   en.wikipedia.org/wiki/Standard_normal_table

   Standard normal table. In statistics, a standard normal table, also called the unit normal table or Z table, [1] is a mathematical table for the values of Φ, the cumulative distribution function of the normal distribution. It is used to find the probability that a statistic is observed below, above, or between values on the standard normal ...

3. 97.5th percentile point - Wikipedia

   en.wikipedia.org/wiki/97.5th_percentile_point

   95% of the area under the normal distribution lies within 1.96 standard deviations away from the mean. In probability and statistics, the 97.5th percentile point of the standard normal distribution is a number commonly used for statistical calculations. The approximate value of this number is 1.96, meaning that 95% of the area under a normal ...

4. List of statistical tests - Wikipedia

   en.wikipedia.org/wiki/List_of_statistical_tests

   List of statistical tests. Statistical tests are used to test the fit between a hypothesis and the data. [1] [2] Choosing the right statistical test is not a trivial task. [1] The choice of the test depends on many properties of the research question. The vast majority of studies can be addressed by 30 of the 100 or so statistical tests in use.

5. Business credit cards vs. personal credit cards - AOL

   www.aol.com/finance/business-credit-cards-vs...

   Personal credit cards can offer 0 percent intro APR periods that last anywhere from 12 to 21 months for purchases and balance transfers. Business credit cards generally offer relatively shorter 0 ...

6. The Credit Score You Need To Qualify for Most Retail Store Cards

   www.aol.com/finance/credit-score-qualify-most...

   FICO Credit Score Ranges. According to Experian, these are the credit ratings and their corresponding FICO scores: Exceptional: 800-850. Very Good: 740-799. Good: 670-739. Fair: 580-669. Poor: 300 ...

7. Bootstrapping (statistics) - Wikipedia

   en.wikipedia.org/wiki/Bootstrapping_(statistics)

   Bootstrapping is any test or metric that uses random sampling with replacement (e.g. mimicking the sampling process), and falls under the broader class of resampling methods. Bootstrapping assigns measures of accuracy ( bias, variance, confidence intervals, prediction error, etc.) to sample estimates.