Math Problem Statement

Use what we learned about sequential events in module 12 to state the product used to find the value in the probability distribution table for 10. In other words, the probability that all 10 students succeed in Math 247.

Use what we learned about sequential events in module 12 to state the product used to find the value in the probability distribution table for 10. In other words, the probability that all 10 students succeed in Math 247.

Solution

The given formula represents a binomial probability distribution function:

P(x)=(nx)(p)x(1p)nxP(x) = \binom{n}{x} \cdot (p)^x \cdot (1 - p)^{n - x}

Where:

  • (nx)\binom{n}{x} is the binomial coefficient, representing the number of ways to choose xx successes out of nn trials.
  • pp is the probability of success on a single trial.
  • 1p1 - p is the probability of failure on a single trial.
  • nn is the total number of trials.
  • xx is the number of successes.

In your case, the formula is: P(x)=10Cx(0.63)x(0.37)10xP(x) = 10Cx \cdot (0.63)^x \cdot (0.37)^{10 - x} This implies:

  • n=10n = 10 (representing the total number of students)
  • p=0.63p = 0.63 (probability of success for each student in Math 247)
  • 1p=0.371 - p = 0.37 (probability of failure)

Now, the problem asks for the probability that all 10 students succeed in Math 247. This implies x=10x = 10.

To find the probability for x=10x = 10, substitute into the formula:

P(10)=(1010)(0.63)10(0.37)0P(10) = \binom{10}{10} \cdot (0.63)^{10} \cdot (0.37)^{0}

Since (1010)=1\binom{10}{10} = 1 and (0.37)0=1(0.37)^{0} = 1, the expression simplifies to:

P(10)=1(0.63)101=(0.63)10P(10) = 1 \cdot (0.63)^{10} \cdot 1 = (0.63)^{10}

Now, calculate (0.63)10(0.63)^{10}:

P(10)(0.63)100.01698P(10) \approx (0.63)^{10} \approx 0.01698

Thus, the probability that all 10 students succeed in Math 247 is approximately 0.01698.

Do you have any further questions or would you like more details?


Here are five follow-up questions:

  1. How would the probability change if the success rate were 0.7 instead of 0.63?
  2. What is the probability that exactly 8 out of 10 students succeed?
  3. How does the binomial coefficient (nx)\binom{n}{x} influence the overall probability?
  4. How would you calculate the probability that fewer than 5 students succeed?
  5. What happens to the distribution when the number of trials nn increases to 20?

Tip: Binomial probability distributions are useful when you have a fixed number of independent trials with two possible outcomes (success or failure), and the probability of success remains constant across all trials.

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Math Problem Analysis

Mathematical Concepts

Binomial Probability Distribution
Probability of Sequential Events

Formulas

P(x) = 10Cx ⋅ (0.63)^x ⋅ (0.37)^{n - x}
P(x) = \binom{n}{x} ⋅ p^x ⋅ (1 - p)^{n - x}

Theorems

Binomial Theorem
Binomial Coefficient

Suitable Grade Level

Grades 10-12