A value that is continuous. Maybe you should look it up.
Oh! I think it might be something that's always used, so it has a continuous value. Like a sponge, or a toothbrush. However, bellbottoms do not have continuous value becuase they're not used anymore. Look it up, I say again. It might be something COMPLETELY different.
Good Luck!
the maximum or minimum value of a continuous function on a set.
Yes.
Continuous refers to measurements that can take any value, possibly between two limits. Cumulative usually refers to a count "up to and including" the current value.
A function that is continuous over a finite closed interval must have both a maximum and a minimum value on that interval, according to the Extreme Value Theorem. This theorem states that if a function is continuous on a closed interval ([a, b]), then it attains its maximum and minimum values at least once within that interval. Therefore, it is impossible for a continuous function on a finite closed interval to not have a maximum or minimum value.
discrete distribution is the distribution that can use the value of a whole number only while continuous distribution is the distribution that can assume any value between two numbers.
Yes, that happens with any continuous function. The limit is equal to the function value in this case.Yes, that happens with any continuous function. The limit is equal to the function value in this case.Yes, that happens with any continuous function. The limit is equal to the function value in this case.Yes, that happens with any continuous function. The limit is equal to the function value in this case.
the maximum or minimum value of a continuous function on a set.
Yes.
No. The probability that a continuous random variable takes a specific value is always zero.
Continuous refers to measurements that can take any value, possibly between two limits. Cumulative usually refers to a count "up to and including" the current value.
Zero.
discrete distribution is the distribution that can use the value of a whole number only while continuous distribution is the distribution that can assume any value between two numbers.
the value of variables is determined by the equation, discrete variables have absolute single value while the continuos have a range value
Usually we consider a random variable which assigns a value to the outcome of an event. The value assigned to the outcome can be either discrete or continuous. The continuous random variable is a random variable whose domain is defined over a continuous range. Examples: Daily inches of rain, speed of cars on highway, purchases made everyday at grocery stores.
No. It has a discontinuity at every integer value.
The frequency of a guitar note can be determined by measuring the number of vibrations per second. This frequency is represented as a continuous value because it can vary smoothly across a range of pitches.
A simple continuous distribution can take any value between two other values whereas a discrete distribution cannot.