Passage Of Time Was Influenced By Age Data Statistical Analysis

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. Grouped Frequency Distributions:

Age Group 1:

Interval (ms)

Tally

Frequency

Relative Frequency

Cumulative Frequency

Cumulative Relative Frequency

-16 to -11

-

0.2

2

0.2

-10 to -6

---

-

0

0

-5 to -1

-------

0.1

1

0.2

0 to 4

-------------

0.2

2

0.2

5 to 9

-------

0.2

2

0.2

10 to 14

---

0.33

3

0.33

Age Group 2:

Interval (ms)

Tally

Frequency

Relative Frequency

Cumulative Frequency

Cumulative Relative Frequency

-3 to 1

-------

0.2

2

0.2

2 to 6

---

0.4

4

0.4

7 to 11

-------

0.33

3

0.33

12 to 16

-------------

0.1

1

0.1

2. Answers:

A) The percentage of over-50-year-olds who made errors of 5 milliseconds or less can be found by adding the relative frequencies of the intervals with positive errors that are 5 ms or less:

0.2 + 0 + 0.2 = 0.4 or 40%

Therefore, 40% of the over-50-year-olds made errors of 5 milliseconds or less.

B) To determine how many participants in age group 1 made underestimations of the time interval, we need to add up the frequencies of the intervals with negative errors:

1 + 1 + 1 + 1 = 4

Therefore, 4 participants in age group 1 made underestimations of the time interval.

C) To determine how many over-50-year-olds made underestimations, we need to add up the frequencies of the intervals with negative errors:

0 + 0 + 1 + 0 + 0 + 0 + 0 = 1

Therefore, 1 over-50-year-old participant made an underestimation of the time interval.

D) To determine how many participants made overestimations, we need to add up...…zero

c) Coffee serving size (short, tall, grande, venti, trenta) represents nominal data because the categories (sizes) have no inherent order or numerical meaning. Each size is simply a label that distinguishes it from the other sizes.

d) Score on the Myers-Briggs Personality Inventory (Extroverted/Introverted, Sensing/Intuiting, Thinking/Feeling, Judging/Perceiving) represents nominal data because the categories (traits) have no inherent order or numerical meaning. Each trait is simply a label that distinguishes it from the other traits.

e) Quality of sleep (from 1 [very poor] to 5 [excellent]) represents ordinal data because the categories (ratings) have a natural order or ranking. The difference between each rating…

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