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Question
Math
Posted 10 months ago

Ravi sells real estate. Based on previous data, he knows that 5%5 \% of home tours result in a sale. Assume that the results of these tours are independent from each other.

Which of the following choices are binomial random variables?
Choose all answers that apply:
A Take a random sample of 3 tours and let K=K= the number of tours that result in a sale.

B Take a random sample of 3 tours and let M=M= the amount of sales (in dollars) generated by the tours.

C Take a random sample of 30 tours and let L=L= the number of tours that result in a sale.
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Answer from Sia
Posted 10 months ago
Solution by Steps
step 1
Identify the characteristics of a binomial random variable
step 2
A binomial random variable must have a fixed number of trials, two possible outcomes (success or failure), constant probability of success on each trial, and independence between trials
step 3
Evaluate option A: A random sample of 3 tours with K=K= the number of tours that result in a sale. This scenario has a fixed number of trials (3), two outcomes (sale or no sale), constant probability of success (5%), and independence is assumed
step 4
Evaluate option B: A random sample of 3 tours with M=M= the amount of sales (in dollars). The amount in dollars is not a count of successes or failures, so it does not fit the criteria for a binomial random variable
step 5
Evaluate option C: A random sample of 30 tours with L=L= the number of tours that result in a sale. This scenario also has a fixed number of trials (30), two outcomes (sale or no sale), constant probability of success (5%), and independence is assumed
1 Answer
Options A and C are binomial random variables.
Key Concept
Binomial Random Variable
Explanation
A binomial random variable must satisfy four conditions: a fixed number of trials, two possible outcomes for each trial, a constant probability of success, and independence between trials. Options A and C meet these criteria, while option B does not because it involves a continuous outcome (amount in dollars) rather than a count of successes or failures.

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