Correct option is A
The normal probability distribution has a theoretical range from negative infinity to positive infinity, with mean μ (mu) and variance σ² (sigma squared).
Information Booster:
• The normal distribution is a continuous probability distribution that is symmetric and bell-shaped
• While the curve theoretically extends infinitely in both directions, approximately 99.7% of values fall within 3 standard deviations of the mean (68-95-99.7 rule)
• The mean (μ) represents the center of the distribution and can be any real number
• Variance (σ²) measures the spread of the distribution; standard deviation (σ) is the square root of variance
• The area under the entire curve equals 1, representing 100% probability
• Normal distribution is defined by two parameters: mean (location) and variance (spread), denoted as N(μ, σ²)