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Using the Table of Binomial Probabilities

Statistics • Discrete Random Variables and Their Probability Distributions

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Using the Table of Binomial Probabilities

Many textbooks provide a binomial probability table (Table I) for n = 1 to 25 and selected values of p. This tool reproduces that idea: it shows the Table I slice for your n, lets you “read” P(x), and then uses those table entries to compute probabilities such as at most, at least, and between.

Table I is intended for n ≤ 25.

The table uses selected p values (commonly steps of 0.05).

Then n − x failures.

Table entries are usually rounded; sums may differ slightly from calculator results.

Ready

Table I slice for your n (visualization)

Choose n and p, then Calculate to highlight the needed entries.

Bar graph of the probability distribution

Shows P(x) for x = 0, 1, 2, … , n (highlighted bars match your selected event).

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Frequently Asked Questions

How do I read a binomial probability from a textbook table?

Choose the row for n, the row for x (successes), and the column for p. The entry at the intersection gives P(X = x), usually rounded.

How do you use a binomial table to find P(X <= x) or P(X >= x)?

For P(X <= x), add the table entries from x = 0 up to x. For P(X >= x), add the entries from x up to n, or use the complement shortcut P(X >= x) = 1 - P(X <= x - 1).

Why can binomial table sums differ slightly from calculator results?

Table entries are typically rounded (often to 4 decimals), so adding multiple rounded values can introduce small rounding differences. Using the more detailed view reduces this effect.

What does P(a <= X <= b) mean in a binomial table problem?

It means the number of successes is between a and b inclusive. You compute it by summing the table entries P(X = a) + P(X = a + 1) + ... + P(X = b).