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Sagot :
Certainly! Let's identify the given information required to find the probability of people preferring tea over coffee using the binomial distribution.
1. The number of trials ([tex]$n$[/tex]) represents the total number of people surveyed.
2. The number of successes ([tex]$x$[/tex]) represents the number of people in the sample who prefer tea over coffee.
3. The probability of success ([tex]$p$[/tex]) represents the probability that a single person prefers tea over coffee.
Given:
- The number of trials ([tex]$n$[/tex]) is 13.
- The number of successes ([tex]$x$[/tex]) is 6.
- The probability of success ([tex]$p$[/tex]) is 0.45 (as a decimal).
So, we have the following information:
[tex]$n = 13$[/tex] trials \\
[tex]$x = 6$[/tex] successes \\
[tex]$p = 0.45$[/tex] probability of those who prefer tea (as a decimal, not percent)
1. The number of trials ([tex]$n$[/tex]) represents the total number of people surveyed.
2. The number of successes ([tex]$x$[/tex]) represents the number of people in the sample who prefer tea over coffee.
3. The probability of success ([tex]$p$[/tex]) represents the probability that a single person prefers tea over coffee.
Given:
- The number of trials ([tex]$n$[/tex]) is 13.
- The number of successes ([tex]$x$[/tex]) is 6.
- The probability of success ([tex]$p$[/tex]) is 0.45 (as a decimal).
So, we have the following information:
[tex]$n = 13$[/tex] trials \\
[tex]$x = 6$[/tex] successes \\
[tex]$p = 0.45$[/tex] probability of those who prefer tea (as a decimal, not percent)
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