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Binomial Breakdown

A focused lesson on the binomial distribution, covering the BINS criteria, identifying parameters, and calculating probabilities using digital spreadsheet tools.

KCKatelyn Coleman

Binomial Breakdown

A focused lesson on the binomial distribution, covering the BINS criteria, identifying parameters, and calculating probabilities using digital spreadsheet tools.

KCKatelyn Coleman

KEY 18. Mean Calc

Setup: 500 • 0.30

150

Expected Hits

KEY 19

KEY 19. Setup Answer

(5C3) • (0.5) 3 • (0.5) 2

KEY 20

KEY 20. Mastery

Fatigue: accuracy decreases over time. FIX: measure fresh shots only or limit trials.

KEY 21

KEY 21. Catch

No. You can only have integer successes (12, 13, etc.) in a single sample. 12.4 is a long-run average across many repeated samples.

k: ____

E[X]: ____

Formula:

CARD 08

Daily Storms

There is a 40% chance of rain. Over a 30-day month, what is the probability that it rains at least 15 days?

n: ____

p: ____

k: ____

E[X]: ____

Formula:

CARD 09

Medical Success

A surgery has a 95% success rate. If 50 surgeries are performed, find the probability that exactly 48 are successful.

n: ____

p: ____

k: ____

E[X]: ____

Formula:

CARD 10

Voter Turnout

75% of voters support a law. Out of 10 voters, what is the probability that fewer than 6 support it?

n: ____

p: ____

k: ____

E[X]: ____

Formula:

Case Cards Answer Key

01

=BINOMDIST(20, 80, 0.25, FALSE)

E[X] = 20

02

=1 - BINOMDIST(0, 5000, 0.001, TRUE)

E[X] = 5

03

=BINOMDIST(30, 40, 0.65, TRUE) - BINOMDIST(24, 40, 0.65, TRUE)

E[X] = 26

04

=1 - BINOMDIST(5, 12, 0.4, TRUE)

E[X] = 4.8

05

=BINOMDIST(145, 150, 0.98, TRUE)

E[X] = 147

06

=BINOMDIST(84, 100, 0.9, TRUE)

E[X] = 90

07

=BINOMDIST(65, 200, 0.3, FALSE)

E[X] = 60

08

=1 - BINOMDIST(14, 30, 0.4, TRUE)

E[X] = 12

09

=BINOMDIST(48, 50, 0.95, FALSE)

E[X] = 47.5

10

=BINOMDIST(5, 10, 0.75, TRUE)

E[X] = 7.5

at least 15

k logic: k = ____

=1 - BINOM.DIST(

P = ______

CARD 12

12. SCRAP Analysis

"Find the probability that more than 2 items are SCRAP in a sample of 25 (90% are GOOD)."

n

p (Scrap)

k

Modern Sheets Formula

=

CARD 13

13. Digital Marketing

"15% social media click rate. Sample of 200 followers. Probability that exactly 30 click?"

Formula

=

P = ______

CARD 14

14. Election Polling

"Candidate support = 48%. Survey 100 voters. Probability that fewer than 45 support them?"

Formula

=

P = ______

CARD 15

15. Streaming Trends

"70% use a specific service. Survey 30. Probability that between 20 and 25 use it?"

Range Logic

P(X ≤     ) - P(X ≤     )

Sheets Formula

=

CARD 16

16. Decoding Theory

P(X = k) = (nCk) • pk • (1 - p)n - k

In a real-world scenario, what does the (1 - p)n - k part represent?

CARD 17

17. Expected Value Theory

On average, how many "successes" should we expect in n trials with probability p? Write the simplified formula:

E(X) =

CARD 18

18. Mean Calculation

"A baseball player hits 30% of the time. If they have 500 at-bats this season, how many hits are they expected to get?"

Numerical Setup

500 • ______

Expected Hits

CARD 19

19. Manual Setup

"Scenario: A fair coin is flipped 5 times. Find the prob. of getting exactly 3 heads."

(

C

)

•

(

)

•

(

)

Complete the formula using (nCk) notation

CARD 20

Mastery Challenge

Describe a scenario that meets B, I, and N, but violates S (Constant Probability). Explain the fix.

CARD 21

21. The "On Average" Catch

If the expected value of a binomial distribution is 12.4, can you ever actually get exactly 12.4 successes in a single sample? Why or why not?

KEY 01

Answer: Card 01

B: Binary (Success/Failure)
I: Independent (No effect between trials)
N: Fixed Number of trials (n)
S: Success Probability (p) remains constant

KEY 02

Answer: Card 02

YES.

Replacement ensures independence (I) and constant probability (S). Trials n=10, Success=Heart.

KEY 03

Answer: Card 03

n

50

p

0.04

k

4

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