Is weight discrete or continuous?

Continuous data is data that can take any value. Height, weight, temperature and length are all examples of continuous data.

Does weight is a discrete or continuous variable?

So it is obvious that weight is a continuous variable as it can be quantified with decimal precision;like 10.2 kg and 3.0122 kg.

Are weights discrete data?

By nature, discrete data cannot be measured at all. For example, you can measure your weight with the help of a scale. So, your weight is not a discrete data. It has a limited number of possible values e.g. days of the month.

Is weight a continuous distribution?

For example, a person's exact weight without rounding is a continuous random variable. If rounded to the nearest pound, weight is a discrete random variable.

Why is weight a continuous random variable?

Another example of a continuous random variable is the weight of a certain animal like a dog. This is a continuous random variable because it can take on an infinite number of values. For example, a dog might weigh 30.333 pounds, 50.340999 pounds, 60.5 pounds, etc.

Continuous vs Discrete Data

What are examples of discrete random variables?

If a random variable can take only a finite number of distinct values, then it must be discrete. Examples of discrete random variables include the number of children in a family, the Friday night attendance at a cinema, the number of patients in a doctor's surgery, the number of defective light bulbs in a box of ten.

Is the weight of a newborn baby discrete or continuous?

In general, quantities such as pressure, height, mass, weight, density, volume, temperature, and distance are examples of continuous random variables.

What type of variable is weight in statistics?

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age).

Is volume discrete or continuous?

Volume is continuous, so the amount of water would be represented by a continuous random variable. The number of minutes is countable, so it would be a discrete variable.

Which distributions are discrete?

The most common discrete distributions used by statisticians or analysts include the binomial, Poisson, Bernoulli, and multinomial distributions. Others include the negative binomial, geometric, and hypergeometric distributions.

What level of measurement is weight?

An example of the ratio level of measurement is weight.

Is weight a categorical variable?

Quantitative variables are any variables where the data represent amounts (e.g. height, weight, or age). Categorical variables are any variables where the data represent groups. This includes rankings (e.g. finishing places in a race), classifications (e.g. brands of cereal), and binary outcomes (e.g. coin flips).

Is weight an interval or ratio?

Weight is measured on the ratio scale. Ratio: exactly the same as the interval scale except that the zero on the scale means: does not exist. For example, a weight of zero doesn't exist; an age of zero doesn't exist.

Is weight quantitative or qualitative?

Yes, the weights are quantitative data because weight is a numerical variable that is measured.

Is density discrete or continuous?

Population densities are ratios and therefore, have values that vary continuously, unlike population counts which have values that vary in discrete increments. It is not spatially continuous data.

Is height continuous or discrete?

Height, weight, temperature and length are all examples of continuous data.

Is height a discrete variable?

As a result, we can say, that height is a continuous variable. Because we cannot define a specific set of values, that incorporate every possible height of any human being. To think of it another way, let's assume, that any human in the world, will be between 0.5 and 2.5 meters tall.

What type of data is weight?

Quantitative data is numerical. It's used to define information that can be counted. Some examples of quantitative data include distance, speed, height, length and weight.

What is a weight in statistics?

A weight in statistical terms is defined as a coefficient assigned to a number in a computation, for example when determining an average, to make the number's effect on the computation reflect its importance.

Which variables are always discrete?

Discrete variables are numeric variables that have a countable number of values between any two values. A discrete variable is always numeric. For example, the number of customer complaints or the number of flaws or defects.

Is age discrete or continuous?

Is Age Discrete or Continuous? Technically speaking, age is a continuous variable because it can take on any value with any number of decimal places.

Is time continuous or discrete?

Time is a continuous variable. You could turn age into a discrete variable and then you could count it. For example: A person's age in years.

How do you tell if a random variable is discrete or continuous?

A discrete variable is a variable whose value is obtained by counting. A continuous variable is a variable whose value is obtained by measuring. A random variable is a variable whose value is a numerical outcome of a random phenomenon. A discrete random variable X has a countable number of possible values.

Is temperature discrete or continuous?

Temperature is continuous variable as it does have fractional value too. For example: Today's temperature is 30. 5 degree Celsius, here 30. 5 is not a discrete variable and hence is a continuous variable.