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Binomial Distribution Finding P On Ti 84 Plus Calculator – Calculator

Binomial Distribution Finding P On Ti 84 Plus Calculator






Binomial Distribution Finding P on TI 84 Plus Calculator Tool & Guide


Binomial Distribution & Finding ‘p’ on TI 84 Plus Calculator

This tool calculates binomial probabilities (like `binompdf` and `binomcdf` on your TI 84 Plus) and the article below explains how to approach finding ‘p’ (the probability of success) using your calculator.

Binomial Probability Calculator (TI 84 Plus Style)


Total number of independent trials (e.g., 10 coin flips). Must be a non-negative integer.


Probability of success on a single trial (e.g., 0.5 for a fair coin). Must be between 0 and 1.


Number of successful outcomes (e.g., 5 heads). Must be an integer between 0 and n.



Enter values and calculate

Probability Mass Function (P(X=k)) for different k.

k P(X=k) P(X≤k)
Enter values and calculate

Table of individual (P(X=k)) and cumulative (P(X≤k)) binomial probabilities.

What is Binomial Distribution Finding ‘p’ on TI 84 Plus Calculator?

The phrase “binomial distribution finding p on TI 84 Plus calculator” refers to the process of determining the probability of success (‘p’) in a series of independent trials, given a certain number of trials (‘n’), a number of successes (‘x’), and usually either the exact probability P(X=x) or the cumulative probability P(X≤x), using the functions available on a Texas Instruments TI-84 Plus graphing calculator.

The TI-84 Plus has built-in functions like `binompdf(n,p,x)` which calculates P(X=x) and `binomcdf(n,p,x)` which calculates P(X≤x). However, it doesn’t directly solve for ‘p’ if you know ‘n’, ‘x’, and the probability. “Finding p” usually involves using these functions in conjunction with the TI-84’s Solver or by iterating through values of ‘p’ until the desired probability is achieved.

This is useful for statisticians, students, and researchers who have observed a certain number of successes in a fixed number of trials and want to infer the underlying probability of success per trial.

Common Misconceptions:

  • The TI-84 Plus has a direct “inverse binomial” function to find ‘p’. (It doesn’t directly solve for ‘p’ given probability, n, and x; you typically use the Solver).
  • Finding ‘p’ is always a single-step calculation. (It often requires iterative methods or solving an equation).

Binomial Distribution Formulas and the TI-84 Plus

The core formulas used by the TI-84 Plus for binomial distributions are:

1. Binomial Probability Density Function (PDF) – `binompdf(n,p,x)`:

P(X = x) = nCx * px * (1-p)n-x

This calculates the probability of getting exactly ‘x’ successes in ‘n’ trials.

2. Binomial Cumulative Distribution Function (CDF) – `binomcdf(n,p,x)`:

P(X ≤ x) = ∑i=0x [nCi * pi * (1-p)n-i]

This calculates the probability of getting at most ‘x’ successes (from 0 to x) in ‘n’ trials.

Where:

  • nCx = n! / (x! * (n-x)!) is the number of combinations.
  • ‘n’ is the number of trials.
  • ‘p’ is the probability of success on one trial.
  • ‘x’ is the number of successes.
  • (1-p) is the probability of failure on one trial.

To find ‘p’ when you know ‘n’, ‘x’, and either P(X=x) or P(X≤x), you would set up an equation using one of the formulas above and solve for ‘p’. On the TI-84 Plus, this is typically done using the “Solver” feature (often found under the MATH menu).

For example, if you know P(X=x) = 0.1, n=10, x=2, you would set up: 0.1 = 10C2 * p2 * (1-p)8 and solve for ‘p’ using the TI-84 Solver.

Variables Table

Variable Meaning Unit Typical Range
n Number of independent trials Count ≥ 0 (integer)
p Probability of success on a single trial Probability 0 to 1
x or k Number of successful outcomes Count 0 to n (integer)
P(X=x) Probability of exactly x successes Probability 0 to 1
P(X≤x) Cumulative probability of at most x successes Probability 0 to 1

Practical Examples (Finding ‘p’ on TI 84 Plus)

Let’s illustrate how you would approach binomial distribution finding p on ti 84 plus calculator scenarios.

Example 1: Finding ‘p’ from P(X=x) using TI-84 Solver

Suppose you conduct 20 trials (n=20) and observe exactly 5 successes (x=5). You have reason to believe the probability of exactly 5 successes, P(X=5), was 0.176. What was the approximate probability of success ‘p’ on each trial?

  1. On your TI-84 Plus, go to the Solver. Press `MATH`, then scroll up or down to `Solver…` (it might be `B:` or `0:` depending on the OS version).
  2. You need to enter the equation: `0 = binompdf(20, P, 5) – 0.176`. Here, we use ‘P’ as the variable to solve for (our ‘p’). We rearrange P(X=5) = 0.176 to binompdf(n,p,x) – P(X=5) = 0.
    You enter it as `0 = binompdf(20,X,5)-.176` (using X for p in the solver). Access `binompdf` via `2nd` `VARS` [DISTR] menu.
  3. Enter an initial guess for ‘P’ (or X on the screen), say 0.5.
  4. Move the cursor to the line with ‘X=’ (or ‘P=’) and press `ALPHA` `ENTER` [SOLVE].
  5. The calculator will find a value for ‘P’ that makes the equation true. It might be around 0.25. So, p ≈ 0.25.

This demonstrates the process of binomial distribution finding p on ti 84 plus calculator when P(X=x) is known.

Example 2: Finding ‘p’ from P(X≤x) using TI-84 Solver

Imagine 15 trials (n=15) were conducted. The cumulative probability of getting at most 3 successes, P(X≤3), was found to be 0.648. What is ‘p’?

  1. Go to the TI-84 Solver.
  2. Enter the equation: `0 = binomcdf(15, P, 3) – 0.648` (or `0 = binomcdf(15,X,3)-.648` using X for p). Access `binomcdf` via `2nd` `VARS` [DISTR].
  3. Enter a guess for ‘P’ (or X), maybe 0.3.
  4. Solve for ‘P’ (or X). You should get p ≈ 0.20.

This is another way of approaching binomial distribution finding p on ti 84 plus calculator, this time with cumulative probability.

How to Use This Calculator and Your TI 84 Plus

Using Our Calculator:

  1. Enter n, p, and x: Input the number of trials (n), the probability of success (p), and the number of successes (x) into the fields above.
  2. View Results: The calculator instantly shows P(X=x) (like `binompdf`) and P(X≤x) (like `binomcdf`), along with the distribution table and chart.
  3. Understand TI-84 Functions: Our calculator mirrors what `binompdf(n,p,x)` and `binomcdf(n,p,x)` would show on your TI-84 for the given n, p, and x.

Finding ‘p’ on Your TI 84 Plus:

  1. Identify Knowns: Determine ‘n’, ‘x’, and the known probability (either P(X=x) or P(X≤x)).
  2. Access Solver: Press `MATH` and select `Solver…`.
  3. Enter Equation:
    • If P(X=x) is known: `0 = binompdf(n, X, x) – P(X=x)` (replace n, x, P(X=x) with values, use X for ‘p’).
    • If P(X≤x) is known: `0 = binomcdf(n, X, x) – P(X≤x)` (replace n, x, P(X≤x) with values, use X for ‘p’).

    Find `binompdf` and `binomcdf` under `2nd` `VARS` [DISTR].

  4. Initial Guess: Enter an estimated value for X (which represents ‘p’, so between 0 and 1).
  5. Solve: Place the cursor on the X= line and press `ALPHA` `ENTER` [SOLVE]. The calculator will find ‘p’.

This iterative approach using the Solver is key to binomial distribution finding p on ti 84 plus calculator tasks.

Key Factors That Affect Binomial Probabilities and Finding ‘p’

  • Number of Trials (n): A larger ‘n’ generally makes the distribution more spread out, and the probability of any single ‘x’ value lower, unless ‘p’ is very close to 0 or 1. Finding ‘p’ can be more sensitive with larger ‘n’.
  • Probability of Success (p): This is what you are often trying to find. The closer ‘p’ is to 0.5, the more symmetric the distribution. Values of ‘p’ near 0 or 1 create skewed distributions.
  • Number of Successes (x): The target number of successes relative to ‘n’ and ‘p’ determines the probability P(X=x) or P(X≤x).
  • Known Probability Value: The accuracy of the given P(X=x) or P(X≤x) directly impacts the accuracy of the ‘p’ you find.
  • Solver’s Initial Guess (TI-84): While the TI-84 Solver is robust, a very poor initial guess for ‘p’ might lead to a longer solution time or, rarely, a non-convergence or finding an unintended solution if the equation is complex.
  • Calculator Precision: The TI-84 Plus works with a high degree of precision, but rounding in intermediate steps (if done manually) could affect the final ‘p’. Using the `binompdf/cdf` functions directly in the Solver is best.

Frequently Asked Questions (FAQ)

Q1: Does the TI-84 Plus have a direct function to find ‘p’ given n, x, and probability?
A1: No, the TI-84 Plus does not have a direct “inverse binomial” function to solve for ‘p’. You typically use the `Solver` with `binompdf` or `binomcdf` to find ‘p’ when ‘n’, ‘x’, and a probability are known.
Q2: What is `binompdf` on the TI-84 Plus?
A2: `binompdf(n,p,x)` calculates the probability of getting *exactly* ‘x’ successes in ‘n’ trials, given a probability of success ‘p’.
Q3: What is `binomcdf` on the TI-84 Plus?
A3: `binomcdf(n,p,x)` calculates the cumulative probability of getting *at most* ‘x’ successes (from 0 to x) in ‘n’ trials, given ‘p’.
Q4: How do I access `binompdf` and `binomcdf` on my TI-84 Plus?
A4: Press `2nd` then `VARS` (to get to the [DISTR] menu), then scroll down to find `binompdf(` and `binomcdf(`.
Q5: How do I access the Solver on the TI-84 Plus?
A5: Press the `MATH` button, then scroll up or down until you find `Solver…` and press `ENTER`.
Q6: What if the Solver takes too long or gives an error when finding ‘p’?
A6: Try a different initial guess for ‘p’ (between 0 and 1). Ensure your equation is entered correctly. For `binompdf` and `binomcdf`, ‘n’ must be a positive integer, ‘x’ an integer between 0 and n, and ‘p’ between 0 and 1.
Q7: Can I find ‘p’ if I know P(X ≥ x)?
A7: Yes. P(X ≥ x) = 1 – P(X ≤ x-1). So, if you know P(X ≥ x), you know P(X ≤ x-1). You can then use `binomcdf(n, p, x-1)` in the Solver. For example, if P(X ≥ 5) = 0.3, then P(X ≤ 4) = 0.7. Use `0 = binomcdf(n, X, 4) – 0.7` in the solver.
Q8: Is this calculator the same as using the TI-84 Plus for finding p?
A8: Our calculator shows you the results of `binompdf` and `binomcdf` for given n, p, and x. The article explains the process of using these, along with the TI-84’s Solver, to actually find ‘p’ when it’s unknown. Our calculator doesn’t solve for ‘p’ directly but helps understand the functions you’d use on the TI-84.

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