The number of hours you studied for your final exams last semester is an example of a continuous random variable.
Indicate whether the statement is true or false
Q. 2A quantitative random variable that can assume an uncountable number of values is referred to as continuous random variable.
Indicate whether the statement is true or false
Q. 3A random variable may assume many values for each outcome of a probability experiment.
Indicate whether the statement is true or false
Q. 4For a binomial distribution with n =12, and p = 0.4, does the normal distribution provide a reasonable approximation? Use the rule of thumb for normal approximation to the binomial distribution.
Q. 5For a binomial distribution with n = 50, and p = 0.4, does the normal distribution provide a reasonable approximation? Use the rule of thumb for normal approximation to the binomial distribution.
Q. 6For a binomial distribution with n = 600, and p = 0.1, does the normal distribution provide a reasonable approximation? Use the rule of thumb for normal approximation to the binomial distribution.
Q. 7For a binomial distribution with n =100, and p = 0.05, does the normal distribution provide a reasonable approximation? Use the rule of thumb for normal approximation to the binomial distribution.