**Study on Diet and Exercise: Joint Probability Calculation**The table below presents data from a study investigating the effects of different weight loss strategies. Participants were divided into two groups: those following a diet alone and those combining diet with exercise.| | Achieved Goal Weight | Did Not Achieve Goal Weight | Total ||------------------------|----------------------|----------------------------|-------|| Diet Alone | 30 | 70 | 100 || Diet and Exercise | 60 | 40 | 100 || Total | 90 | 110 | 200 |### Task:Use this table to calculate the following joint probability.**8b) P(Did Not Achieve Goal Weight with Diet and Exercise) =** [Write in Your Answer]**Hint:** Remember to round to the hundredth place. For example, 0.367 rounds to 0.37, and 0.460 rounds to 0.46.

Answered: Review table from a study on diet and…

Human Anatomy & Physiology (11th Edition)

11th Edition

ISBN:9780134580999

Author:Elaine N. Marieb, Katja N. Hoehn

Publisher:Elaine N. Marieb, Katja N. Hoehn

Chapter1: The Human Body: An Orientation

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Problem 1RQ: The correct sequence of levels forming the structural hierarchy is A. (a) organ, organ system,...

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**Study on Diet and Exercise: Joint Probability Calculation**

The table below presents data from a study investigating the effects of different weight loss strategies. Participants were divided into two groups: those following a diet alone and those combining diet with exercise.

| | Achieved Goal Weight | Did Not Achieve Goal Weight | Total |
|------------------------|----------------------|----------------------------|-------|
| Diet Alone | 30 | 70 | 100 |
| Diet and Exercise | 60 | 40 | 100 |
| Total | 90 | 110 | 200 |

### Task:

Use this table to calculate the following joint probability.

**8b) P(Did Not Achieve Goal Weight with Diet and Exercise) =** [Write in Your Answer]

**Hint:** Remember to round to the hundredth place. For example, 0.367 rounds to 0.37, and 0.460 rounds to 0.46.

Expert Solution

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Joint probability is the probability of two events occurring together simultaneously. It is calculated by multiplying the probability of each event, that is probability for event A [ P(A) ] times probability for event B [ P(B) ]. For example the probability of a dice being rolled to a value of 1 is 1/6. So the joint probability of two dice each showing 1 is 1/36.

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