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.
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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Contingency Table
A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.
Binomial Distribution
Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.
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
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.

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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