Based on a study by Dr. P. Sorita at Indiana University, assume that 12% of us have green eyes. In a study of 650 people, it is found that 86 of them have green eyes. (Use normal distribution to approximate binomial distribution) a. Find the probability of at least 86 people with green eyes among 650 randomly selected people. b. Is 86 people with green eyes significantly high? Why?

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**Title: Probability Study on Green Eye Color Prevalence**

**Context:**
This study is based on research by Dr. P. Sorita at Indiana University, which assumes that 12% of the population has green eyes. In a sample of 650 people, 86 individuals are observed to have green eyes. The study uses a normal distribution to approximate a binomial distribution.

**Objective:**
1. **Probability Calculation:**
   a. Calculate the probability of observing at least 86 people with green eyes out of 650 randomly selected individuals.

2. **Significance Analysis:**
   b. Determine whether observing 86 people with green eyes is significantly high based on the given assumption.

**Instructions:**
- Utilize the properties of the normal distribution to approximate the binomial probability.
- Discuss the implications of the findings in terms of statistical significance.
Transcribed Image Text:**Title: Probability Study on Green Eye Color Prevalence** **Context:** This study is based on research by Dr. P. Sorita at Indiana University, which assumes that 12% of the population has green eyes. In a sample of 650 people, 86 individuals are observed to have green eyes. The study uses a normal distribution to approximate a binomial distribution. **Objective:** 1. **Probability Calculation:** a. Calculate the probability of observing at least 86 people with green eyes out of 650 randomly selected individuals. 2. **Significance Analysis:** b. Determine whether observing 86 people with green eyes is significantly high based on the given assumption. **Instructions:** - Utilize the properties of the normal distribution to approximate the binomial probability. - Discuss the implications of the findings in terms of statistical significance.
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