Answer :
Sure, let's solve this step-by-step.
1. Finding the probability that a student saw 3 or more movies in the past month:
From the provided table, we know the probabilities for seeing 0, 1, and 2 movies:
[tex]\[ \begin{aligned} & P(M = 0) = 0.72, \\ & P(M = 1) = 0.20, \\ & P(M = 2) = 0.04. \end{aligned} \][/tex]
To find the probability that a student saw 3 or more movies, we need to sum the probabilities of the complementary events (0, 1, and 2 movies) and subtract from 1:
[tex]\[ P(M \geq 3) = 1 - (P(M = 0) + P(M = 1) + P(M = 2)). \][/tex]
Substituting the values, we get:
[tex]\[ P(M \geq 3) = 1 - (0.72 + 0.20 + 0.04) = 1 - 0.96 = 0.04. \][/tex]
So, the probability that a student saw 3 or more movies in the past month is:
[tex]\[ P(M \geq 3) = 0.04. \][/tex]
2. Finding the probability that a randomly selected student saw 1 or fewer movies in the past month:
To find this, we sum the probabilities of seeing 0 or 1 movies:
[tex]\[ P(M \leq 1) = P(M = 0) + P(M = 1). \][/tex]
Substituting the values, we get:
[tex]\[ P(M \leq 1) = 0.72 + 0.20 = 0.92. \][/tex]
So, the probability that a student saw 1 or fewer movies in the past month is:
[tex]\[ P(M \leq 1) = 0.92. \][/tex]
3. Identifying the complement of seeing 1 or fewer movies in the past month and finding the probability of this event:
The complement of the event "seeing 1 or fewer movies" is "seeing more than 1 movie." Therefore, we need to find:
[tex]\[ P(M > 1). \][/tex]
This can be determined by subtracting the probability of seeing 1 or fewer movies from 1:
[tex]\[ P(M > 1) = 1 - P(M \leq 1). \][/tex]
Substituting the value we found earlier:
[tex]\[ P(M > 1) = 1 - 0.92 = 0.08. \][/tex]
So, the probability of seeing more than 1 movie in the past month is:
[tex]\[ P(M > 1) = 0.08. \][/tex]
To summarize:
- The probability that a student saw 3 or more movies in the past month is [tex]\(0.04\)[/tex].
- The probability that a student saw 1 or fewer movies in the past month is [tex]\(0.92\)[/tex].
- The probability of the complement event, seeing more than 1 movie, is [tex]\(0.08\)[/tex].
1. Finding the probability that a student saw 3 or more movies in the past month:
From the provided table, we know the probabilities for seeing 0, 1, and 2 movies:
[tex]\[ \begin{aligned} & P(M = 0) = 0.72, \\ & P(M = 1) = 0.20, \\ & P(M = 2) = 0.04. \end{aligned} \][/tex]
To find the probability that a student saw 3 or more movies, we need to sum the probabilities of the complementary events (0, 1, and 2 movies) and subtract from 1:
[tex]\[ P(M \geq 3) = 1 - (P(M = 0) + P(M = 1) + P(M = 2)). \][/tex]
Substituting the values, we get:
[tex]\[ P(M \geq 3) = 1 - (0.72 + 0.20 + 0.04) = 1 - 0.96 = 0.04. \][/tex]
So, the probability that a student saw 3 or more movies in the past month is:
[tex]\[ P(M \geq 3) = 0.04. \][/tex]
2. Finding the probability that a randomly selected student saw 1 or fewer movies in the past month:
To find this, we sum the probabilities of seeing 0 or 1 movies:
[tex]\[ P(M \leq 1) = P(M = 0) + P(M = 1). \][/tex]
Substituting the values, we get:
[tex]\[ P(M \leq 1) = 0.72 + 0.20 = 0.92. \][/tex]
So, the probability that a student saw 1 or fewer movies in the past month is:
[tex]\[ P(M \leq 1) = 0.92. \][/tex]
3. Identifying the complement of seeing 1 or fewer movies in the past month and finding the probability of this event:
The complement of the event "seeing 1 or fewer movies" is "seeing more than 1 movie." Therefore, we need to find:
[tex]\[ P(M > 1). \][/tex]
This can be determined by subtracting the probability of seeing 1 or fewer movies from 1:
[tex]\[ P(M > 1) = 1 - P(M \leq 1). \][/tex]
Substituting the value we found earlier:
[tex]\[ P(M > 1) = 1 - 0.92 = 0.08. \][/tex]
So, the probability of seeing more than 1 movie in the past month is:
[tex]\[ P(M > 1) = 0.08. \][/tex]
To summarize:
- The probability that a student saw 3 or more movies in the past month is [tex]\(0.04\)[/tex].
- The probability that a student saw 1 or fewer movies in the past month is [tex]\(0.92\)[/tex].
- The probability of the complement event, seeing more than 1 movie, is [tex]\(0.08\)[/tex].