It may assume any numerical value in an interval or collection of intervals1 pointcontinuous random variablediscrete random variablerandom variable

It may assume either a finite number of values or an infinite sequence of values1 pointcontinuous random variablediscrete random variablerandom variable

It may assume either a finite number of values or an infinite sequence of values1 pointcontinuous random variablediscrete random variablediscrete probability variableWhich of the following is an ordinal variable?1 pointBlood TypeNo. of Phone calls receivedLevel of PainIt summarizes the variability in the values of a random variable.1 pointstandard deviationvarianceexpected valueIt is commonly used to model financial data where the tally is small and often zero.1 pointPoissonBernoulliBinomialThe use of the relative frequency method to develop discrete probability distributions leads to what is called _____________.1 pointintervalsempirical discrete distributionrandom variablesIt shows the proportion of the total number of observations associated with each value or class of values and is related to a probability distribution, which is extensively used in statistics1 pointDiscrete ProbabilityDiscrete Random VariableRelative Frequency DistributionWhich of the following is a discrete variable?1 pointNo of patients in a hospital wardCustomer RatingsOccupationA bar chart is used when the variable being used in FDT is ______________1 pointdiscrete variablecontinuous variablenominal variableEmail*Your answerA weighted average of the values the random variable may assume. 1 pointexpected valuestandard deviationvarianceThe expected value does not have to be a value the random variable can assume1 pointTrueFalseLastname*Your answerFirstname*Your answerIn this distribution, data are collected in one of two forms after repetitive trials and classified into either success or failure. 1 pointPoissonBinomialMultinomialIt is a modeling technique that identifies the probabilities of different outcomes through programmed technology.1 pointMonte Carlo SimulationPoisson DistributionHypergeometric Probability DistributionWhich of the following is not a continuous random variable?1 pointNo. of male faculty at UEPHeight of an adultLifetime of a light bulbLine chart is used when the variable being used in FDT is ________________1 pointordinal or discrete variablenominal or ordinal variablecontinuous variableAre quantitative variables that take on a finite or countable number of distinct values1 pointdiscrete variablenominal variableordinal variable

Which of the following random variable that take on only a countable number of possibilities?(1 Point)DiscreteNon discreteContinuousAll of the above

Which of the following function is associated with a continuous random variable?(1 Point)pmfpmvpdfAll of the above

Numerical quantity that takes on different values depending on chance1 pointPopulationIndependent VariableRandom Variable