0.461 is a fraction whose absolute value is less than one. It cannot, therefore, be expressed as a mixed number.0.461 is a fraction whose absolute value is less than one. It cannot, therefore, be expressed as a mixed number.0.461 is a fraction whose absolute value is less than one. It cannot, therefore, be expressed as a mixed number.0.461 is a fraction whose absolute value is less than one. It cannot, therefore, be expressed as a mixed number.
The probability of a random variable being at or below a certain value is defined as the cumulative distribution function (CDF) of the variable. The CDF gives the probability that the variable takes on a value less than or equal to a given value.
It is a rational number which is less than 1. If the absolute value of the numerator is less than the absolute value of the denominator then the fraction is a proper fraction.
For ungrouped data, the graph for a random variable (rv), X, is usually a line graph whose horizontal axis is the values that the random variable can take, and whose vertical axis is the number of observations (or outcomes) of the random variable that are less than or equal to that value of the rv. For grouped data the graph is usually a corresponding bar graph.
Since there are no negative signs in front of the variable 'a', it makes 'a' a positive number. Therefore, it is bigger than -1.
The unknown value of the variable could be greater, less or even equal to 12.50
That depends on the rules that define the random variable.
0.461 is a fraction whose absolute value is less than one. It cannot, therefore, be expressed as a mixed number.0.461 is a fraction whose absolute value is less than one. It cannot, therefore, be expressed as a mixed number.0.461 is a fraction whose absolute value is less than one. It cannot, therefore, be expressed as a mixed number.0.461 is a fraction whose absolute value is less than one. It cannot, therefore, be expressed as a mixed number.
The probability of a random variable being at or below a certain value is defined as the cumulative distribution function (CDF) of the variable. The CDF gives the probability that the variable takes on a value less than or equal to a given value.
It is a rational number which is less than 1. If the absolute value of the numerator is less than the absolute value of the denominator then the fraction is a proper fraction.
For ungrouped data, the graph for a random variable (rv), X, is usually a line graph whose horizontal axis is the values that the random variable can take, and whose vertical axis is the number of observations (or outcomes) of the random variable that are less than or equal to that value of the rv. For grouped data the graph is usually a corresponding bar graph.
The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x. The cumulative frequency distribution for a value x of a random variable X, is a count of the number of observations in which X is less than or equal to x.
If this is an inequality (6 is less than x, or 6 < x), then x is an integer or other value greater than 6.---The variable statement "6 less than x" is (x - 6)This is a value (variable and constant) where the value of x is determined by an equationsuch as x-6 = 4 (x is positive 2) or y = x-6 (y is 6 less than x).
Since there are no negative signs in front of the variable 'a', it makes 'a' a positive number. Therefore, it is bigger than -1.
The day whose value is 9.
The result is a number whose absolute value is greater than a.
0.92 is less than one. Mixed numbers are greater than one.