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The amount of time it takes to sell shoes. Examples include weight, price, profits, counts, etc. 1.Shirt Size 2.Class Size 3.Amount of water consumed in a day 4.Number of taxi cabs in a fleet Because continuous data can take any value, there are an infinite number of possible outcomes. Data Data Index. The first graph shows discrete data. For example, take an age. Contrast this with discrete data: discrete data is data which is, in short, not continuous. Examples of continuous data. Examples include weight, price, profits, counts, etc. Quantitative data is data where the values can change continuously, and you cannot count the number of different values. Always remember this: you can't have … Also remember from an earlier Concept how you distinguished between these types of data when you graphed them. Remember that you know this because the data points are not joined. Weight, height, temperature, etc. These surfaces are characterized by the type or manner in which the phenomenon moves. Examples of continuous data: The amount of time required to complete a project. are examples of measurement that would make up a continuous data set. You might pump 8.40 gallons, or 8.41, or 8.414863 gallons, or any … Some examples of continuous data include: The weight of newborn babies; The daily wind speed; The temperature of a freezer; When you think of experiments or studies involving constant measurements, these likely involve continuous variables to some degree. Examples of progressively varying continuous surface data are fluid and air movement. Continuous Data. Continuous: Height, weight, annual income. Solution for Which is an example of continuous data? Continuous variables would take forever to count. Example Ocean currents are continuous data because they can be measured at infinite levels of detail at infinite points in time. The continuous data can be broken down into decimal and fractions ,so it can be subdivided into smaller parts according to the measurement precision. It can take any numeric value, within a finite or infinite range of possible value. Quantitative data is data where the values can change continuously, and you cannot count the number of different values. For statistical purposes this kind of data is often gathered in classes (example height in 5 cm classes). Continuous data is the data that can be measured on a scale. Basically, anything you can measure or count is quantitative. For example, the exact amount of gas purchased at the pump for cars with 20-gallon tanks would be continuous data from 0 gallons to 20 gallons, represented by the interval [0, 20], inclusive. 1.Shirt Size 2.Class Size 3.Amount of water consumed in a day 4.Number of taxi cabs in a fleet Solution for Which is an example of continuous data? Note: “range” refers to the difference between highest & lowest observation. Continuous data (like height) can (in theory) be measured to any degree of accuracy. Examples of continuous data include time. The second type of continuous surface data includes phenomena that progressively vary as they move across a surface from a source. Examples include time, height and weight. In fact, we would get to forever and never finish counting them. Continuous Data can take any value (within a range) Examples: A person's height: could be any value (within the range of human heights), not just certain fixed heights, Time in a race: you could even measure it to fractions of a second, A dog's weight, The length of a leaf, Lots more! Continuous data represent measurements; their possible values cannot be counted and can only be described using intervals on the real number line. The height of children. One hour can be divided into two groups of thirty minutes, minutes can be divided into seconds and seconds can continue to be divided on down the line. If you’ve got a number like “2.86290” anywhere on a spreadsheet, this is not a number you could have easily arrived at … Ocean currents are continuous data because they can be measured at infinite levels of detail at infinite points in time.The test results of 300 students who write a multiple choice exam with 65 points is discrete because both students and points are counted with no measurements possible inbetween. If you consider a value line, the values can be anywhere on the line. Discrete data (like number of … Basically, anything you can measure or count is quantitative. Continuous data are data which can take any values. (Revolutionary definition, I … Discrete: Number of children, number of students in a class. We can’t count “age”. For example, taking the average temperatures for each month during a year is an example of continuous data.

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