The following histograms each represent binomial distributions. Each distribution has the same number of trials n but different probabilities of success p. (2) P(x) 000000 - CONES 0.11 0 (c) P(x) 000000 654 01234 0.3- 01234 X (b) P(x) 0. 0. soooooo BARNEd 0. 0.4- 0. 0. 01- of 01234 X Match p=0.4, p=0.5, p=0.7 with the correct graph. O A. (a) p=0.5, (b) p = 0.4, (c) p = 0.7 O B. (a) p=0.7, (b) p=0.5, (c) p=0.4 OC. (a) p=0.4, (b) p=0.5, (c) p = 0.7 OD. (a) p=0.7, (b) p=0.4, (c) p=0.5 (a) p=0.5, (b) p = 0.7, (c) p = 0.4 O E. OF. (a) p=0.4, (b) p = 0.7, (c) p = 0.5
The following histograms each represent binomial distributions. Each distribution has the same number of trials n but different probabilities of success p. (2) P(x) 000000 - CONES 0.11 0 (c) P(x) 000000 654 01234 0.3- 01234 X (b) P(x) 0. 0. soooooo BARNEd 0. 0.4- 0. 0. 01- of 01234 X Match p=0.4, p=0.5, p=0.7 with the correct graph. O A. (a) p=0.5, (b) p = 0.4, (c) p = 0.7 O B. (a) p=0.7, (b) p=0.5, (c) p=0.4 OC. (a) p=0.4, (b) p=0.5, (c) p = 0.7 OD. (a) p=0.7, (b) p=0.4, (c) p=0.5 (a) p=0.5, (b) p = 0.7, (c) p = 0.4 O E. OF. (a) p=0.4, (b) p = 0.7, (c) p = 0.5
MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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 alt="The following histograms each represent binomial distributions. Each distribution has the same number of trials n but different probabilities of success p.
**Histograms:**
1. **Histogram (a):**
- X-axis: 0, 1, 2, 3, 4
- Y-axis: P(x)
- Bars represent different probabilities for each outcome.
2. **Histogram (b):**
- X-axis: 0, 1, 2, 3, 4
- Y-axis: P(x)
- Bars depict the probability distribution for each possible result.
3. **Histogram (c):**
- X-axis: 0, 1, 2, 3, 4
- Y-axis: P(x)
- Displays probabilities for discrete outcomes.
**Matching task:**
Match \( p = 0.4, p = 0.5, p = 0.7 \) with the correct graph.
Options:
- A. \((a) p = 0.5, (b) p = 0.4, (c) p = 0.7\)
- B. \((a) p = 0.7, (b) p = 0.5, (c) p = 0.4\)
- C. \((a) p = 0.4, (b) p = 0.5, (c) p = 0.7\)
- D. \((a) p = 0.7, (b) p = 0.4, (c) p = 0.5\)
- E. \((a) p = 0.5, (b) p = 0.7, (c) p = 0.4\)
- F. \((a) p = 0.4, (b) p = 0.7, (c) p = 0.5\)
---
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Transcribed Image Text:The following histograms each represent binomial distributions. Each distribution has the same number of trials n but different probabilities of success p.
**Histograms:**
1. **Histogram (a):**
- X-axis: 0, 1, 2, 3, 4
- Y-axis: P(x)
- Bars represent different probabilities for each outcome.
2. **Histogram (b):**
- X-axis: 0, 1, 2, 3, 4
- Y-axis: P(x)
- Bars depict the probability distribution for each possible result.
3. **Histogram (c):**
- X-axis: 0, 1, 2, 3, 4
- Y-axis: P(x)
- Displays probabilities for discrete outcomes.
**Matching task:**
Match \( p = 0.4, p = 0.5, p = 0.7 \) with the correct graph.
Options:
- A. \((a) p = 0.5, (b) p = 0.4, (c) p = 0.7\)
- B. \((a) p = 0.7, (b) p = 0.5, (c) p = 0.4\)
- C. \((a) p = 0.4, (b) p = 0.5, (c) p = 0.7\)
- D. \((a) p = 0.7, (b) p = 0.4, (c) p = 0.5\)
- E. \((a) p = 0.5, (b) p = 0.7, (c) p = 0.4\)
- F. \((a) p = 0.4, (b) p = 0.7, (c) p = 0.5\)
---
**Source:**
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**Footer:**
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