A company retains a psychologist to assess whether job applicants are suited for assembly‑line work. The psychologist classifies applicants as one of ?A (well suited), ?B (marginal), or ?C (not suited). The company is concerned about the group ?D , where an employee leaves the company within a year of being hired. Data on all people hired in the past five years give the probabilities shown. ?(?)=0.4P(A)=0.4 ?(?)=0.3P(B)=0.3 ?(?)=0.3P(C)=0.3 ?(? and ?)=0.1P(A and D)=0.1 ?(? and ?)=0.1P(B and D)=0.1 ?(? and ?)=0.2P(C and D)=0.2 Select the correct Venn diagram of the events ?,?,?,A,B,C, and ?D showing the probabilities of all combinations of psychological assessment and leaving (or not) within a year.
Addition Rule of Probability
It simply refers to the likelihood of an event taking place whenever the occurrence of an event is uncertain. The probability of a single event can be calculated by dividing the number of successful trials of that event by the total number of trials.
Expected Value
When a large number of trials are performed for any random variable ‘X’, the predicted result is most likely the mean of all the outcomes for the random variable and it is known as expected value also known as expectation. The expected value, also known as the expectation, is denoted by: E(X).
Probability Distributions
Understanding probability is necessary to know the probability distributions. In statistics, probability is how the uncertainty of an event is measured. This event can be anything. The most common examples include tossing a coin, rolling a die, or choosing a card. Each of these events has multiple possibilities. Every such possibility is measured with the help of probability. To be more precise, the probability is used for calculating the occurrence of events that may or may not happen. Probability does not give sure results. Unless the probability of any event is 1, the different outcomes may or may not happen in real life, regardless of how less or how more their probability is.
Basic Probability
The simple definition of probability it is a chance of the occurrence of an event. It is defined in numerical form and the probability value is between 0 to 1. The probability value 0 indicates that there is no chance of that event occurring and the probability value 1 indicates that the event will occur. Sum of the probability value must be 1. The probability value is never a negative number. If it happens, then recheck the calculation.
A company retains a psychologist to assess whether job applicants are suited for assembly‑line work. The psychologist classifies applicants as one of ?A (well suited), ?B (marginal), or ?C (not suited). The company is concerned about the group ?D , where an employee leaves the company within a year of being hired. Data on all people hired in the past five years give the
?(?)=0.4P(A)=0.4 | ?(?)=0.3P(B)=0.3 | ?(?)=0.3P(C)=0.3 |
?(? and ?)=0.1P(A and D)=0.1 | ?(? and ?)=0.1P(B and D)=0.1 | ?(? and ?)=0.2P(C and D)=0.2 |
![The image presents two Venn diagrams displaying probabilistic regions labeled \( A \), \( B \), \( C \), and \( D \). Here's a detailed description of each diagram:
**Top Diagram:**
- **Regions:**
- \( A \): Contains a probability of 0.2.
- \( B \): Contains a probability of 0.2.
- \( C \): Contains a probability of 0.2.
- \( D \): Overlapping region of \( B \), has a probability of 0.2.
- Outside the main regions, probabilities of 0.1 are assigned.
**Bottom Diagram:**
- **Regions:**
- \( A \): Contains a probability of 0.1.
- \( B \): Contains a probability of 0.3.
- \( C \): Contains a probability of 0.2.
- \( D \): Overlapping region of \( B \), has a probability of 0.1.
- Outside the main regions, probabilities of 0.2 and 0.1 are assigned in different areas.
The diagrams appear to represent different sets or categories with overlapping probabilities, useful for educational purposes in teaching probability distributions or set theory concepts.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe081709a-009a-40db-b64b-6e8bc91fc8b7%2Fd49a66a0-5572-4eef-be7e-5d2b5a1df7e0%2F7c45ry_processed.png&w=3840&q=75)
![The image presents two Venn diagrams, each illustrating relationships between three sets labeled A, B, and C, with overlapping regions that signify intersections of these sets. Each segment is assigned a numerical value, possibly indicating probability or a similar metric.
**Top Diagram:**
- **Set A:** Includes an area valued at 0.1.
- **Set B:** Overlaps with sets A and C, with sections labeled 0.2 (with A), and 0.2 (independent of sets A and C).
- **Set C:** Contains an area valued at 0.3.
- **Intersection D (A ∩ B ∩ C):** Denoted by 0.1, shows the common area among all three sets.
**Bottom Diagram:**
- **Set A:** Contains a section valued at 0.3.
- **Set B:** Intersects with A and C, with segments labeled 0.2 (independent), and 0.2 (with C).
- **Set C:** Includes an independent area valued at 0.1.
- **Intersection D (A ∩ B ∩ C):** Same as the top diagram, marked by 0.1, representing complete intersection coverage.
Each diagram showcases different distributions of values across the sets and their intersections, highlighting varying relationships between the sets A, B, and C.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fe081709a-009a-40db-b64b-6e8bc91fc8b7%2Fd49a66a0-5572-4eef-be7e-5d2b5a1df7e0%2Fg15maj_processed.png&w=3840&q=75)
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