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Fishers: Most Dangerous Jobs

Essay by   •  October 24, 2015  •  Case Study  •  369 Words (2 Pages)  •  1,236 Views

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Chapter 1

6).

A confounding factor is an important difference between the two groups you are comparing. Such a difference is important if it has a big impact on what you are measuring. In regards to whether a safety research study is sponsored by pharmaceutical companies, the funding source can potentially be a confounding factor if it makes an impact on how the research is conducted, what type of data they are trying to validate, who participates in the study, etc.

13).

The most dangerous jobs are Fishers and fishing workers, where the death rate is 0.1184% (48 deaths per 40,540 employed). The least dangerous jobs are construction laborers where the death rate is 0.0227% (339 deaths per 1,493,390 employed).

993

3412370

0.02910%

341

829680

0.04110%

339

1493390

0.02270%

176

758620

0.02320%

81

121070

0.06690%

80

86110

0.09290%

48

40540

0.11840%

36

110090

0.03270%

35

62940

0.05561%

32

73050

0.04381%

15).

This study is observational. There are a number of possible confounding factors. One confounding factor may be the subject’s personality type. If subjects are able to choose whether to make a decision immediately or deliberate, subjects that are considered “leaders” who have strong decision-making skills may be more inclined to opt to make a decision immediately, while less leadership-inclined individuals may be more likely to deliberate their decision.

If the study were to be redesigned, subjects should not be given the option of how they want to make a decision, but rather half be told to make an immediate decision and the other half to make a deliberate decision.

Chapter 2 

33).

Stock ZTH had the highest price variability with a standard deviation of 17.01. Stock SEKO had the highest average price of 308.96

35).
Mean = 1,626

Median = 1,702

Bin Limits

Frequency

100

0

200

1

300

2

400

1

500

3

600

1

700

5

800

11

900

13

1000

24

1100

44

1200

63

1300

94

1400

134

1500

156

1600

254

1700

351

1800

527

1900

645

2000

0

...

...

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