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Statistical data can be arranged in tabular, graphical, pictorial, or any other form desired by the user. Also, statistics eases the process of analysation and processing of bulk data. Examples of Statistics in Real Life. 1. Record of Production Goods and Services.
May 8, 2024 · Examples of Divergent Thinking. 1. Using a Coin as a Flathead Screwdriver. Sometimes we might not have the right size screwdriver to tighten the screw of a shelf or cupboard door. We could call a neighbor and ask to borrow one of their tools, or we could just reach into our pocket and pull out some coins.
Jan 17, 2023 · Example 8: Urban Planning. Statistics is regularly used by urban planners to decide how many apartments, shops, stores, etc. should be built in a certain area based on population growth patterns. For example, if an urban planner sees that population growth in a certain part of the city is increasing at an exponential rate compared to other ...
1. Find the whole sum as add the data together. 2. Divide the sum by the total number of data. The below is one of the most common descriptive statistics examples. Example 3: Let’s say you have a sample of 5 girls and 6 boys. [su_note note_color=”#d8ebd6″] The girls’ heights in inches are: 62, 70, 60, 63, 66.
Jan 17, 2023 · Linear Regression Real Life Example #4 Data scientists for professional sports teams often use linear regression to measure the effect that different training regimens have on player performance. For example, data scientists in the NBA might analyze how different amounts of weekly yoga sessions and weightlifting sessions affect the number of points a player scores.
Jan 17, 2023 · Examples: Paired Samples t-tests in Real Life. Example 1: Fuel Treatment. Researchers want to know if a new fuel treatment leads to a change in the mean miles per gallon of a certain car. To test this, they conduct an experiment in which they measure the mpg of 11 cars with and without the fuel treatment. Since each car is used in each sample ...
May 12, 2021 · Example 1: Mean, Median, & Mode in Healthcare. The mean, median, and mode are widely used by insurance analysts and actuaries in the healthcare industry. For example: Mean: Insurance analysts often calculate the mean age of the individuals they provide insurance for so they can know the average age of their customers.
