D H. You flip a fair coin for 25 times. Please calculate the probabilities for each possible outcome from zero heads to 25 heads. Calculate mean and standard deviation Calculate z scores for each outcome.

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### Probability Assignment: Coin Flip Experiment

In this exercise, you will flip a fair coin 25 times. Your tasks are to:

1. Calculate the probabilities for each possible outcome, from zero heads to 25 heads.
2. Calculate the mean and standard deviation of the distribution.
3. Compute the z-scores for each outcome.

#### Instructions:

- **Total Flips (N):** 25
- **Probability of Heads (p):** 0.5
- **Probability of Tails (q):** 0.5

#### Calculations:

- **Mean (Expected Value):**
  - Formula: \( \text{Mean} = N \times p \)
  - Plug in values: \( \text{Mean} = 25 \times 0.5 \)

- **Standard Deviation:**
  - Formula: \( \text{STD DEV} = \sqrt{N \times p \times q} \)
  - Plug in values: \( \text{STD DEV} = \sqrt{25 \times 0.5 \times 0.5} \)

#### Outcomes and Probability:

Create a table to list each possible outcome (number of heads) and its corresponding probability. This calculation uses the binomial probability formula.

- **Table Headers:**
  - Outcomes
  - Probability

This task involves understanding and utilizing the binomial distribution, a fundamental concept in probability and statistics, which is pivotal for various fields such as mathematics, data analysis, and risk assessment.

### Additional Sheets

- **Other Sheets Present:**
  - GALLUP POLL
  - Accident
  - GUN CARRY

Note: Make sure to switch to the other tabs for related data analysis tasks not covered in this exercise.
Transcribed Image Text:### Probability Assignment: Coin Flip Experiment In this exercise, you will flip a fair coin 25 times. Your tasks are to: 1. Calculate the probabilities for each possible outcome, from zero heads to 25 heads. 2. Calculate the mean and standard deviation of the distribution. 3. Compute the z-scores for each outcome. #### Instructions: - **Total Flips (N):** 25 - **Probability of Heads (p):** 0.5 - **Probability of Tails (q):** 0.5 #### Calculations: - **Mean (Expected Value):** - Formula: \( \text{Mean} = N \times p \) - Plug in values: \( \text{Mean} = 25 \times 0.5 \) - **Standard Deviation:** - Formula: \( \text{STD DEV} = \sqrt{N \times p \times q} \) - Plug in values: \( \text{STD DEV} = \sqrt{25 \times 0.5 \times 0.5} \) #### Outcomes and Probability: Create a table to list each possible outcome (number of heads) and its corresponding probability. This calculation uses the binomial probability formula. - **Table Headers:** - Outcomes - Probability This task involves understanding and utilizing the binomial distribution, a fundamental concept in probability and statistics, which is pivotal for various fields such as mathematics, data analysis, and risk assessment. ### Additional Sheets - **Other Sheets Present:** - GALLUP POLL - Accident - GUN CARRY Note: Make sure to switch to the other tabs for related data analysis tasks not covered in this exercise.
**Probability of Gun Carry Privileges**

In our city, with a population of 100,000, there are 8,000 people with gun carry privileges. 

Officer A stopped 25 people today. 

What is the likelihood that out of those 25 people, at least 10 of them would be carrying a gun?

Calculating the Probability

- **Population**: 100,000
- **Gun Carry Privileges**: 8,000

To find the probability that at least 10 of the 25 stopped people are carrying guns, we need \( P(X \geq 10) \).

Steps:

1. **Variables**:
   - \( n = 25 \)
   - \( p = \frac{8000}{100000} \) (probability of one person carrying a gun)
   - \( q = 1 - p \) (probability of one person not carrying a gun)

2. Use a probability calculator or Excel to compute the probabilities for outcomes from 10 to 25 and sum them up.

This calculation will determine the probability of at least 10 people carrying a gun out of the 25 stopped.

You can use Excel formulas or an online probability calculator to find the exact probability.
Transcribed Image Text:**Probability of Gun Carry Privileges** In our city, with a population of 100,000, there are 8,000 people with gun carry privileges. Officer A stopped 25 people today. What is the likelihood that out of those 25 people, at least 10 of them would be carrying a gun? Calculating the Probability - **Population**: 100,000 - **Gun Carry Privileges**: 8,000 To find the probability that at least 10 of the 25 stopped people are carrying guns, we need \( P(X \geq 10) \). Steps: 1. **Variables**: - \( n = 25 \) - \( p = \frac{8000}{100000} \) (probability of one person carrying a gun) - \( q = 1 - p \) (probability of one person not carrying a gun) 2. Use a probability calculator or Excel to compute the probabilities for outcomes from 10 to 25 and sum them up. This calculation will determine the probability of at least 10 people carrying a gun out of the 25 stopped. You can use Excel formulas or an online probability calculator to find the exact probability.
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