Section 3.0 Brent Perry works as a guide and conservationist for an ornithological tourism company, which is part of an emerging industry catering to birders.  He recently surveyed the bird populations in some preserved deciduous woodlands in Northern New Jersey.  In particular, he was looking for Baltimore Orioles who surprisingly to some have taken up residence in Jersey elms and maples.  On five random visits each along five separate and independent mile-long pathways (Trails A through E), he recorded the following numbers of sightings of Baltimore Orioles: Trail A 8 16 8 12 16 Trail B 1 15 9 8 7 Trail C 22 10 16 10 22 Trail D 19 29 24 29 19 Trail E 16 24 16 24 20   He kept other variables about his bird watching as constant as he reasonably could.  He wonders if all five pathways provide comparable opportunities to spot these orange-plumed birds.  Help Brent with his analysis by completing the following organizer after performing the relevant testing at the 0.5% level of significance.  Round off any decimals to five decimal places if necessary.

MATLAB: An Introduction with Applications
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ISBN:9781119256830
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Section 3.0

Brent Perry works as a guide and conservationist for an ornithological tourism company, which is part of an emerging industry catering to birders.  He recently surveyed the bird populations in some preserved deciduous woodlands in Northern New Jersey.  In particular, he was looking for Baltimore Orioles who surprisingly to some have taken up residence in Jersey elms and maples.  On five random visits each along five separate and independent mile-long pathways (Trails A through E), he recorded the following numbers of sightings of Baltimore Orioles:

Trail A

8

16

8

12

16

Trail B

1

15

9

8

7

Trail C

22

10

16

10

22

Trail D

19

29

24

29

19

Trail E

16

24

16

24

20

 

He kept other variables about his bird watching as constant as he reasonably could.  He wonders if all five pathways provide comparable opportunities to spot these orange-plumed birds.  Help Brent with his analysis by completing the following organizer after performing the relevant testing at the 0.5% level of significance.  Round off any decimals to five decimal places if necessary.

 

**Question 1**

Before beginning any analysis, pardon the pun, what type of statistical inference is involved?
- ○ Single population, large sample (population standard deviation known) hypothesis testing
- ○ Single population, small sample (population standard deviation unknown) hypothesis testing
- ○ Two population matched pair dependent sample hypothesis testing
- ○ Multiple population hypothesis testing or one-way analysis of variance (ANOVA)
- ● Multiple population hypothesis testing or two-way analysis of variance (ANOVA)

---

**Question 2**

Again before any analysis, pardon the pun, which probability distribution is appropriate?
- ○ Student's t or t
- ○ Standard normal or z
- ○ F
- ○ \( \chi^2 \)

---

**Question 3**

Once again before any analysis, pardon the pun, the graph associated with the corresponding distribution is shaped how?
- ○ symmetric or triangular
- ○ rectangular or uniform
- ○ skewed left
- ○ skewed right
Transcribed Image Text:**Question 1** Before beginning any analysis, pardon the pun, what type of statistical inference is involved? - ○ Single population, large sample (population standard deviation known) hypothesis testing - ○ Single population, small sample (population standard deviation unknown) hypothesis testing - ○ Two population matched pair dependent sample hypothesis testing - ○ Multiple population hypothesis testing or one-way analysis of variance (ANOVA) - ● Multiple population hypothesis testing or two-way analysis of variance (ANOVA) --- **Question 2** Again before any analysis, pardon the pun, which probability distribution is appropriate? - ○ Student's t or t - ○ Standard normal or z - ○ F - ○ \( \chi^2 \) --- **Question 3** Once again before any analysis, pardon the pun, the graph associated with the corresponding distribution is shaped how? - ○ symmetric or triangular - ○ rectangular or uniform - ○ skewed left - ○ skewed right
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