Sample: The answer is called Sample space.
A random variable is a function that assigns unique numerical values to all possible outcomes of a random experiment. A real valued function defined on a sample space of an experiment is also called random variable.
The set of all possible outcomes of a random experiment is nothing but sample space usually denoted by S. we can also call it as event. For example our experiment is rolling a dice, then our sample space is S= {1,2,3,4,5,6}
No. Only a census can ACCURATELY predict the outcomes: a random sample cannot.
controlled experiment
Random variables is a function that can produce outcomes with different probability and random variates is the particular outcome of a random variable.
A random variable is a function that assigns unique numerical values to all possible outcomes of a random experiment. A real valued function defined on a sample space of an experiment is also called random variable.
Experiment cannot be predicted in advance is RANDOM EXPERIMENT...... set of all possible outcomes. outcome that can be predicted with certainity. when an experiment performed repeatedly- called trial. Ex. If a coin is tossed,we can't say,whetefr head or tail will appear .so it is a Random Experiment. Sample Space:-- Possible outcomes of a random experiment.. set of all posssible outcomes.. denoted by--- "S". and no. of elements is denoted by n(s). ex. In throwing a dice ,the number that appears at top is any one of 1,2,3,4,5,6 ,So here: S= 1,2,3,4,5,6 n(s) --- 6
The set of all possible outcomes of a random experiment is nothing but sample space usually denoted by S. we can also call it as event. For example our experiment is rolling a dice, then our sample space is S= {1,2,3,4,5,6}
The outcome.
Games available in most casinos are commonly called casino games. In a casino game, the players gamble cash or casino chips on various possible random outcomes
Select an experiment that has a random result rather than one that is deterministic. The result of the experiment is the outcome of the probabilistic experiment.
· A variable whose values are determined by the outcomes of a random experiment is called a random variable. A random variable is a discrete random variable if it can assume values, which are finite or countable infinite. For example, tossing of a die is a random experiment and its outcomes 1, 2, 3, 4, 5 and 6 are discrete random variable. When a coin is tossed, its outcomes head and tail are discrete random variable. Three coins are thrown; the number of heads is example of discrete random variable. Note that the outcomes need ot be integers or even numbers (eg colour of eyes). · If a random variable can assume every possible value in an interval [a, b], a< b, where a and b may be - infinity and + infinity respectively, for example, the points on number line between 0 and 1; Value of 'x' between 0 and 2; Number of heads on a coin when it is tossed infinite times.
sample space=13 no of possible outcomes (vowel)=5/13 no of possible outcomes (consonant)=7/13
Random events are events that do not have a determined outcome. The set of possible outcomes for a random event is always greater than one item.
TRUE
No. Only a census can ACCURATELY predict the outcomes: a random sample cannot.
The sample space of an experiment would be the set of all possible outcomes. If you are reaching your hand into a bag and pulling out a marble at random, the outcomes will either be (red)(red)(yellow)(yellow)(yellow)(yellow)(yellow). This gives seven different options. This will obviously change each time a marble is removed or added.