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The Importance of Statistics in Healthcare (With Examples)

Descriptive statistics are used to describedata. Healthcare professionals often calculate the following descriptive statistics for a given individual: 1. Mean restingSee more

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When to Use a Chi-Square Test (With Examples)

WEBYou should use the Chi-Square Goodness of Fit Test whenever you would like to know if some categorical variable follows some hypothesized distribution. Here …

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Levels of Measurement: Nominal, Ordinal, Interval and Ratio

WEBInterval scale: A scale used to label variables that have a natural order and a quantifiable difference between values, but no “true zero” value. Some examples of …

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An Explanation of P-Values and Statistical Significance

WEBThe textbook definition of a p-value is: A p-value is the probability of observing a sample statistic that is at least as extreme as your sample statistic, given that the null …

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Real Life Examples: Using Mean, Median, & Mode

WEBExample 1: Mean, Median, & Mode in Healthcare. The mean, median, and mode are widely used by insurance analysts and actuaries in the healthcare industry. …

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6 Real-Life Examples of the Normal Distribution

WEB6 Real-Life Examples of the Normal Distribution. by Zach Bobbitt February 9, 2021. The normal distribution is the most commonly-used probability distribution in all of …

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The Importance of Statistics in Nursing (With Examples)

WEBThe field of statistics is concerned with collecting, analyzing, interpreting, and presenting data.. In the field of nursing, statistics is important for the following …

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4 Examples of Using Chi-Square Tests in Real Life

WEBIn statistics, there are two different types of Chi-Square tests: 1. The Chi-Square Goodness of Fit Test – Used to determine whether or not a categorical variable …

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Hypothesis Test vs. Confidence Interval: What’s the Difference

WEBHere’s the difference between the two: A hypothesis test is a formal statistical test that is used to determine if some hypothesis about a population parameter …

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What is Prevalence in Statistics

WEBIn statistics, prevalence is the proportion of individuals in a population who have a specific characteristic at a certain time period. Researchers typically measure …

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What is Incidence Rate Ratio

WEBIncidence rate ratio is a useful metric because it’s so easy to interpret and it allows us to immediately understand if exposure to something increases or decreases …

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Paired Samples t-test: Definition, Formula, and Example

WEBA paired samples t-test is used to compare the means of two samples when each observation in one sample can be paired with an observation in the other sample.. …

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One Sample t-test: Definition, Formula, and Example

WEBA one sample t-test is used to test whether or not the mean of a population is equal to some value.. This tutorial explains the following: The motivation for performing a …

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How to Interpret Odds Ratios

WEBOdds = P (positive) / 1 – P (positive) = (42/90) / 1- (42/90) = (42/90) / (48/90) = 0.875. Thus, the odds ratio for experiencing a positive outcome under the new …

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8 Examples of How Statistics is Used in Real Life

WEBExample 1: Weather Forecasting. Statistics is used heavily in the field of weather forecasting. In particular, probability is used by weather forecasters to assess …

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10 Examples of Using Probability in Real Life

WEBExample 1: Weather Forecasting. Perhaps the most common real life example of using probability is weather forecasting. Probability is used by weather …

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6 Examples of Correlation in Real Life

WEBPositive Correlation Examples. Example 1: Height vs. Weight. The correlation between the height of an individual and their weight tends to be positive. In other words, …

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How to Write a Null Hypothesis (5 Examples)

WEBWhenever we perform a hypothesis test, we always write a null hypothesis and an alternative hypothesis, which take the following forms: H0 (Null Hypothesis): …

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4 Examples of Hypothesis Testing in Real Life

WEBExample 1: Biology. Hypothesis tests are often used in biology to determine whether some new treatment, fertilizer, pesticide, chemical, etc. causes increased …

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