I need some help ### Problem 2: Analysis of Fruit Fly Distribution in TrapsAgriculture officials placed sticky traps in fruit trees at random throughout a neighborhood. They collected the traps and counted the number of fruit flies per trap. The data appear below:#### Fruit Flies in Sticky Traps| Number of fruit flies per trap | Number of traps ||--------------------------------|-----------------|| 0 | 32 || 1 | 35 || 2 | 33 || 3 | 9 || 4 | 5 || ≥ 5 | 3 |1. **Compute the mean:** - Options: a. 1.23 b. 1.42 c. 1.32 d. 1.39 2. **Compute the standard deviation:** - Options: a. 1.23 b. 1.42 c. 1.32 d. 1.39#### Continuation of Problem 2If fruit flies are randomly distributed throughout the neighborhood, then the number of fruit flies per trap should follow a Poisson distribution. Use the sample mean and the Poisson probability distribution to obtain probabilities (carry four decimal places) and expected frequencies (to one decimal place) for these data.3. **Compute the expected frequency based on Poisson distribution for $ K = 0 $:** - Options: a. 28.2 b. 40.5 c. 33.0 d. 29.0 4. **Compute the expected frequency based on Poisson distribution for $ K = 1 $:** - Options: a. 28.2 b. 40.5 c. 33.0 d. 29.0 5. **Compute the expected frequency based on Poisson distribution for $ K = 2 $:** - Options: a. 28.2 b. 40.5 c. 33.0 d. 29.06. **Compute the expected frequency based on Poisson distribution for $ K \geq 5 $:** - Options: a. 2.6 b. 2.3 c

As per guideline expert have to answer first question only.

Problem 2) Agriculture officials placed sticky traps in fruit trees at random throughout a neighborhood. They collected the traps and counted the number of fruit flies per trap. The data appear below: Fruit Flies in Sticky Traps Number of fruit Number of flies per trap traps 32 1 35 33 3 9. 4 Compute the mean а. 1.23 2 5 b. 1.42 с. 1.32 d. 1.39 Compute the standard deviation а. 1.23 b. 1.42 с. 1.32 1. 20

Problem 2) Agriculture officials placed sticky traps in fruit trees at random throughout a neighborhood. They collected the traps and counted the number of fruit flies per trap. The data appear below: Fruit Flies in Sticky Traps Number of fruit Number of flies per trap traps 32 1 35 33 3 9. 4 Compute the mean а. 1.23 2 5 b. 1.42 с. 1.32 d. 1.39 Compute the standard deviation а. 1.23 b. 1.42 с. 1.32 1. 20

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

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I need some help

### Problem 2: Analysis of Fruit Fly Distribution in Traps

Agriculture officials placed sticky traps in fruit trees at random throughout a neighborhood. They collected the traps and counted the number of fruit flies per trap. The data appear below:

#### Fruit Flies in Sticky Traps
| Number of fruit flies per trap | Number of traps |
|--------------------------------|-----------------|
| 0 | 32 |
| 1 | 35 |
| 2 | 33 |
| 3 | 9 |
| 4 | 5 |
| ≥ 5 | 3 |

1. **Compute the mean:**
- Options:
a. 1.23
b. 1.42
c. 1.32
d. 1.39

2. **Compute the standard deviation:**
- Options:
a. 1.23
b. 1.42
c. 1.32
d. 1.39

#### Continuation of Problem 2

If fruit flies are randomly distributed throughout the neighborhood, then the number of fruit flies per trap should follow a Poisson distribution. Use the sample mean and the Poisson probability distribution to obtain probabilities (carry four decimal places) and expected frequencies (to one decimal place) for these data.

3. **Compute the expected frequency based on Poisson distribution for $ K = 0 $:**
- Options:
a. 28.2
b. 40.5
c. 33.0
d. 29.0

4. **Compute the expected frequency based on Poisson distribution for $ K = 1 $:**
- Options:
a. 28.2
b. 40.5
c. 33.0
d. 29.0

5. **Compute the expected frequency based on Poisson distribution for $ K = 2 $:**
- Options:
a. 28.2
b. 40.5
c. 33.0
d. 29.0

6. **Compute the expected frequency based on Poisson distribution for $ K \geq 5 $:**
- Options:
a. 2.6
b. 2.3
c

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