K5 Learning provides free worksheets, workbooks and an online reading and math program for kindergarten to grade 5 students. Measured data is regarded as being better than counted data. A race can be timed to a millisecond. Your weight can be any weight within the range of human weights. If you want a bit of distraction, check out this page showing a timeline of our universe. Continuous data can take on any value as it’s measured. Flashcards. Data can be measured (such as length or weight) or numerical (basically numbers). However, to a large organization whose income or expenditure is measured in millions or billions, such small increments are likely to be meaningless. number of text messages sent in a year. We can't have half a student! Discrete data can also be categorical, such as green or blue, male or female, good or bad. discrete. Variable data is continuous data, this means that the data values can be any real number like 2.12, 3.33, -3.3 etc. Discrete weights General definition. time you wake up in the morning. For example, money is measured in increments, for example of 1 cent, so that should make it discrete. Created by. The number of apples on each tree in an orchard. For example: Your weight. days of the month. Like, weight measurements, height measurements, time, etc all are an example of continuous data. But then there are some things that are not so obvious. So, your weight is not a discrete data. A dog's weight. Key Concepts: Terms in this set (43) length of a leaf. Let’s dig a bit deeper into this. the weight of baggage on an airplane. They come in two different flavors: discrete and continuous, depending on the type of outcomes that are possible: Discrete random variables. Learn More about K5's online learning program. A person’s weight, gallons of water, the length of a football field, the speed of a car, the temperature of the ocean, price of gas, all must be measured, so they are continuous variables. discrete. number of students in the mathematics classes during the fall semester at your school. Discrete data may be also ordinal or nominal data (see our post nominal vs ordinal data). continuous. But if they do, you are now armed to be able to persuade them your answer that time is a continuous variable is correct. For example: Age; Weight; Height; For simplicity, we usually referred to years, kilograms (or pounds) and centimeters (or feet and inches) for age, weight and height respectively. continuous. amount of sugar in an orange. We call these continuous data and discrete data. Discrete Data can only take certain values. . In fact, if you Google the height of the Empire State Building, you would find it is 443.2 meters tall if you include the antenna, which most building owners do so they can brag a bit more. Discrete Data can only take certain values. discrete . For Example, Age, height or weight of a person, time taken to complete a task, temperature, time, money, etc. Spell. STUDY. Discrete or Continuous. We tend to think of time as the number of years we have lived, or the days until Christmas, which we can count. 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. Discrete data is graphically displayed by a bar graph. Another clue is that continuous variables are often … , 10}; or {-3, -2.75, 0, 1.5}; or {10, 20, 30, 40, 50…} ), then the random variable is discrete . For example, the (exact) weight of a person is a continuous random variable. The K5 Learning Blog urges parents to be pro-active in helping their children reach their full academic potential. But when I was a little kid, I always answered “six and a half” when asked how old I was. discrete or continuous. Foot length is also a continuous random variable. On the other hand, quantitative continuous variables are variables for which the values are not countable and have an infinite number of possibilities. discrete. This site uses Akismet to reduce spam. number of languages a person speaks. Continuous Data. As you may already know data is a set of values based on facts, figures or other pieces of information that we use to learn about something. Example: the number of students in a class. Well, in many other places, buildings are measured. Test. Learn. Well, that sounds like someone had to actually measure the height, doesn’t it, so that means building height is really a continuous variable. Kids per class. Continuous Data. In the discrete setting, a weight function : → + is a positive function defined on a discrete set, which is typically finite or countable.The weight function ():= corresponds to the unweighted situation in which all elements have equal weight. And, of course, we all have to measure our own height as well. A Case in Point. It’s not always clear whether data is continuous or discrete. Learn. This data is measured on a continual scale like distance, time, weight, length etc. discrete. Again it’s not set to a specific fixed number. A person’s weight, gallons of water, the length of a football field, the speed of a car, the temperature of the ocean, price of gas, all must be measured, so they are continuous variables. Discrete data is based on counts where only a finite number of values is possible. number of leaves on a tree. Most commonly, we in America tend to think of buildings in terms of the number of floors. number of leaves on a tree. discrete. That data can be presented in different ways. I tried to come up with a mnemonic like “population-parameter; sample: statistic” but the best I could do is “finger : digit: discrete” since you have to count your fingers. To help see the difference between continuous and discrete variables, imagine a really tall mountain with a trail leading up to the top. Data can be measured (such as length or weight) or numerical (basically numbers). the number of pages in a statistics book. number of languages a person speaks. Spell. How many students there are in each classroom in your school. continuous. Gravity. Match. Bryan_Baz TEACHER. It’s easier to understand discrete data by saying it’s the opposite of continuous data. Another clue is that continuous variables are often stated as fractions or decimals, as in 2.5 gallons of gas. I do hope your statistics instructors do not put purposefully confusing questions on quizzes and exams about time. Continuous data represent measurements; their possible values cannot be counted and can only be described using intervals on the real number line.

is weight discrete or continuous

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