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A yes or no survey question is considered a discrete variable. Discrete variables have distinct, separate values with no possible values in between. In this case, the two possible responses (yes or no) are distinct and separate categories, making it a discrete variable. Continuous variables, on the other hand, can take on any value within a given range.
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Is continuous distribution convert in discrete distribution?
If the question is asking if a continuous distribution can be converted to a discrete distribution, the answer is yes. Your age has a continuous distribution but in most cases, the information is recorded and analysed as if it were the whole number of years - a discrete distribution.
Is height a continuous variable?
Yes. (Although it is normally recorded in a discrete form.)
Is the total area within any continuous probability distribution is equal to 1.00?
Yes, but not just continuous prob distribs. It applies to discontinous or discrete distributions as well.
Discrete and Continuous data is used in mathematics?
Yes it is. Discrete data is something that's set. Like say you were making a line graph about renting bikes. You can only rent whole bikes there is nothing in between. You shouldn't connect points on a line graph with discrete data but some cases can be argued. Continuous data is usually a measurement that could change like time.
Are IQ scores a continuous or discrete variable?
yes cause i dont know basta yas ang sagot ko
Is continuous distribution convert in discrete distribution?
If the question is asking if a continuous distribution can be converted to a discrete distribution, the answer is yes. Your age has a continuous distribution but in most cases, the information is recorded and analysed as if it were the whole number of years - a discrete distribution.
Is height a continuous variable?
Yes. (Although it is normally recorded in a discrete form.)
Is the number of employees of a company a discrete quantitative variable?
Yes. You can't have a fraction of an employee. Thus, the range of values is not continuous, thus the variable is discrete.
Is the total area within any continuous probability distribution is equal to 1.00?
Yes, but not just continuous prob distribs. It applies to discontinous or discrete distributions as well.
Do you question several people in a survey?
Yes
Is the energy that comes in discrete packets?
Yes, energy can come in discrete packets known as quanta. This concept is described by quantum mechanics, where energy is quantized and can only exist in specific discrete levels rather than being continuous.
Is a graph that has a finite or limited number or data points a discrete graph?
Yes, a graph that has a finite or limited number of data points is considered a discrete graph. Discrete graphs represent distinct, separate values rather than continuous data, which would be represented by a continuous graph. In a discrete graph, individual points are plotted, reflecting specific values without connecting lines between them.
Is absorbance considered a continuous variable?
Yes, absorbance is considered a continuous variable because it can take on any value within a range, rather than being limited to specific discrete values.
Discrete and Continuous data is used in mathematics?
Yes it is. Discrete data is something that's set. Like say you were making a line graph about renting bikes. You can only rent whole bikes there is nothing in between. You shouldn't connect points on a line graph with discrete data but some cases can be argued. Continuous data is usually a measurement that could change like time.
Are IQ scores a continuous or discrete variable?
yes cause i dont know basta yas ang sagot ko
Do you use mobile phone is an example of survey?
Yes, this can be considered a survey question. If you were trying to figure out what percentage of people use them.
Can data be non discrete and non continuous?
Yes, data can be classified as non-discrete and non-continuous, typically falling into a category known as categorical or qualitative data. This type of data represents characteristics or qualities that do not have a numerical value and cannot be ordered in a meaningful way, such as colors, names, or labels. Examples include nominal data, like types of fruit, which cannot be measured on a scale or counted in a traditional sense.
