Is the sum of two dice normally distributed?
Most events that depend on random chance ultimately tend to conform to a normal or Gaussian distribution. … In the example below, we can see the same type of behavior in a discrete probability problem, the sum of two dice. If we toss two dice, we obtain one of 11 different sums between 2 and 12.
What is an example of a discrete variable?
Discrete variables are countable in a finite amount of time. For example, you can count the change in your pocket. You can count the money in your bank account. You could also count the amount of money in everyone’s bank accounts.
Is number of students discrete or continuous?
Discrete: Number of children, number of students in a class. Continuous data (like height) can (in theory) be measured to any degree of accuracy. If you consider a value line, the values can be anywhere on the line.
Is number of days discrete or continuous?
In fact we have discrete-time and continous-time models. It depends how did you record the time, e.g. if you count days, or record hours rounded to the nearest hour then it is rather discrete; when you record days, hours and minutes of something happening, then it is closer to continuous.
Is hours of sleep discrete or continuous?
Amount of sleep is a variable. 3, 5, 9 hours of sleep are different values for that variable. Variables can be continuous or discrete. Question: Are these variables discrete or continuous?
Frequency distribution table:
|Score (X)||Frequency (f)|
What is an example of a discrete probability?
Discrete events are those with a finite number of outcomes, e.g. tossing dice or coins. For example, when we flip a coin, there are only two possible outcomes: heads or tails. When we roll a six-sided die, we can only obtain one of six possible outcomes, 1, 2, 3, 4, 5, or 6.