The image contains a problem related to statistics and probability, specifically focused on binomial distribution. Here's a breakdown of the problem:

Problem Description:

A product's lifecycle is categorized into four classes: Failed on Arrival (FOA), Good, Low, and High. The corresponding probabilities for each class are provided in a table.

• FOA: 0.05
• Good: 0.70
• Low: 0.15
• High: 0.10

Task 1: Determine the probability that at most 2 products out of 4 sampled units belong to the Good class. This involves calculating the cumulative probability of getting 0, 1, or 2 "Good" products in a binomial distribution where the probability of success (being in the Good class) is 0.70.

Task 2: Estimate the mean and standard deviation of the number of "Good" products in a sample of 4 units.

Solution Approach:

1. Binomial Distribution Formula: The binomial probability mass function is given by: $P(X = k) = \binom{n}{k} p^k (1-p)^{n-k}$ where $n$ is the number of trials (4), $p$ is the probability of success (0.70), and $k$ is the number of successful outcomes.

2. Cumulative Probability: For task 1, you'll need to calculate: $P(X \leq 2) = P(X=0) + P(X=1) + P(X=2)$

3. Mean and Standard Deviation:

   • The mean (μ) of a binomial distribution is given by: $\mu = n \times p$
   • The standard deviation (σ) is: $\sigma = \sqrt{n \times p \times (1 - p)}$

Would you like me to calculate the exact values for these probabilities and parameters?