The document describes a study that aims to investigate the correlation between gender and color preference. It will survey at least 120 people of different genders and ages, asking them their favorite color. The results will be analyzed using charts and tables to look for relationships between gender, age, and color choice. The analysis must relate back to the study's thesis. A table is provided with data collected from 84 participants, recording their favorite color and demographic information like gender and age.

1. Color Preference
Siang
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2. Introduction
Color preference is mostly asked questions today. It change the way people view
something. For instance, people usually choose to buy the item based on their favorite
when they shop even thought all items are the same. Everyone can tell what is his or her
favorite color, except the blind. It is a part of one’s personality. Today in the U.S., but not
elsewhere and not always, blue is gendered male and pink gendered female. We might
expect, then, that men would internalize a preference for blue and women a preference for
pink. However, according to psychology research, social environment plays a great role on
how we develop our behaviors and personality. From the day that babies are brought home
and cradled in their pink or blue blankets, implications have been made about gender and
color. There are some people who change color preference as they get old but some don’t.
Task statement
The purpose of the study is to investigate whether there is a correlation between gender
and color preference. In order to carry out the investigation, only people with different
gender and age and ask them their favorite question which is “What is your favorite
color?” At least 120 people will be needed in order for the more accuracy and to be
able to come up with a conclusion. Interviewing is the initial critical part for this study
because it not just about asking whoever is coming in the way. If 90 female subjects out
of 120 participants are asked instead of 50 male and 50 female or close, the calculation
may go wrong or the conclusion will be invalid. After the interview part is done, the
information will be digested through the mathematical processes. Some math processes
that will be used include pie chart, bar chart, and contingency tables. After all the
calculation part is done, each task will be analyzed. The analysis made must tie to the
theses.
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3. Blue Green Red Brown Pink Orange Yellow White Purple Black Gold Others MALE FEMALE AGE
1 * Male 8
2 * Male 15
3 * Male 12
4 * Male 9
5 * Female 17
6 * Female 16
7 * Female 56
8 * Male 30
9 * Female 22
10 * Male 25
11 * Female 19
12 * Male 21
13 * Male 35
14 * Male 60
15 * Male 55
16 * Male 40
17 * Female 36
18 * Female 50
19 * Female 18
20 * Male 50
21 * Male 32
22 * Female 42
23 * Female 16
24 * Female 10
25 * Male 14
26 * Female 23
27 * Male 61
28 * Male 57
29 * Male 30
30 * Female 46
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4. 31 * Female 37
32 * Female 32
33 * Female 27
34 * Male 19
35 * Female 18
36 * Male 38
37 * Female 15
38 * Female 26
39 * Male 51
40 * Male 20
41 * Female 37
42 * Male 9
43 * Male 28
44 * Male 34
45 * Male 16
46 * Female 18
47 * Male 40
48 * Female 17
49 * Male 15
50 * Female 24
51 * Male 21
52 * Female 18
53 * Male 49
54 * Male 70+
55 * Female 50
56 * Male 70+
57 * Male 42
58 * Female 32
59 * Female 17
60 * Female 53
61 * Male 32
62 * Male 21
63 * Male 70+
64 * Male 17
65 * Female 46
66 * Female 26
67 * Male 19
68 * Female 43
69 * Female 17
70 * Female 67
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5. 71 * Female 15
72 * Male 34
73 * Male 70
74 * Male 35
75 * Female 38
76 * Female 44
77 * Male 22
78 * Male 18
79 * Female 25
80 * Male 57
81 * Male 31
82 * Female 15
83 * Male 45
84 * Male 55
85 * Female 17
86 * Male 18
87 * Male 26
88 * Female 49
89 * Male 53
90 * Male 41
91 * Female 17
92 * Male 25
93 * Female 42
94 * Female 26
95 * Male 24
96 * Male 30
97 * Male 22
98 * Female 7
99 * Male 54
100 * Female 34
101 * Female 18
102 * Female 22
103 * Female 43
104 * Female 19
105 * Male 29
106 * Male 16
107 * Female 64
108 * Male 17
109 * Male 42
110 * Female 23
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6. 111 * Male 13
112 * Female 18
113 * Female 19
114 * Male 25
115 * Female 30
116 * Female 25
117 * Male 47
118 * Male 53
119 * Female 67
120 * Male 36
Total 22 19 20 7 12 4 3 4 15 2 3 9 66 54
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7. Color preferences by Gender
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8. Color Preference by Age
blue green red Brow pink orange yellow white purple black Alodine/ others
n gold
6-30 9 16 11 4 9 2 2 2 6 1 2 2
31-50 6 2 7 3 3 2 1 1 7 1 3
51-70+ 7 1 2 0 0 0 1 2 1 0 4
The total participants = 120
The age from 6 to 30 = 66
Percent =
The age from 31 to 50 = 36
Percent =
The age from 51 to 70 over = 18
Percent =
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11. Correlation between gender and color
Mostly chosen color Male Female Total
Blue 16 6 22
Purple 3 12 15
Total 19 18 37
Mostly chosen Male Female Total
color
19 * 22 18 * 22
Blue ---------------- = 11.3 --------------- = 10.7 22
37 37
19 * 15 18 * 15
Purple ----------------- = 7.7 --------------- = 7.3 15
37 37
Total 19 18 37
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13. Discussion/validity
By looking at the first graph which is color preference in gender, we can see some
see some difference between male and female. If we describe more in details, in some
particular color such as blue, pink, green, and purple, we can see that there is a negative
correlation in which the values of one of the variables increase the values of the second
variable decrease.
In any other researches, it’s true that men usually prefer blue and red while female tend
to prefer green, pink, and purple. But in some case, it could be the opposite. There is the
possibility for men to choose the colors that are more attractive to women. Also, some
other factors such as the environment we live in could play the role too. For example, if a
person live a place where the pink color is popular or considered to be luck color, then
that man is more likely to choose pink.
Although, it’s believe that some people change their color preference as they get
older. That could be possible because nothing is stationary our life; the way we live, our
behavior, our association with other people, we change all of those as we get older. As far
as the color is concerned, it’s as important as something that you care for the most. It is a
part of our identification and it should not be ignored. In this study, I divided different
ages into three groups: 6-30(group one), 31-50(group two), and 51-70(group 3) over.
Group one represents 55%; group two represents 30%; and group three, 15%. Using pie
chart, I present the color preference of each group in a different pie chart. Generally by
observing at the three charts from different age groups we can see that the blue color is
increasing down the group while the green decrease and stay constant at the second and
the third group. Base on that knowledge, we can assume that the more we get older the
more likely we would prefer the blue. And the green color would the one color we chose
in the past or during childhood. On the other hand, the red color pretty much stays the
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14. same, which mean the people who chose red from the beginning stick to it. When we
were young, we did not have some options to choose. Mostly known colors by children
would be green, blue, and red, pink, and purple. That why the young people of the first
group chose to preferred them. The preference in the pink color is very high on the chart
of the first group; it goes down in the second group and reappears in group three. Even
though, the number of participants in group three is less than other groups, we can still
assume that people are more likely to switch their color preference from pink.
There had been some research done in psychology field on investigation between
gender and color choice. They believe there is a correlation between gender and color
preference. And this is why I chose to conduct this study. Well, to find out if there is the
correlation or not, I used contingency tables method. This is the right method for my
study. In order to know whether the correlation exists, there are six steps to follow. First,
construct the corresponding tables of expected values from the table of observed values;
second, calculate the value of U using its formula; third, calculate the number of degree
of freedom; fourth, decide the level of significance; fifth, look up the critical value, c (1-
α)χ (υ); and the final step, if U > c(1-α)χ2(υ), reject H0. After getting done with all of those
2
steps, U value is 9.92 and the number of degrees of freedom is 2 x 2 because the table has
two rows and two columns. And I used 5% level of significance. If we reject H0, it means
that there is a correlation between gender and color. And because U is greater than 3.841
according to my calculation, there is a relationship between gender and color preference.
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15. Improvement
I was very confident that my investigation and calculation meet what I was trying to
achieve that there is a correlation between color and gender. But there is a limit that can be
improved upon. I could have interview more people to come up with the more reliable data. Or I
could have asked each group of age equally, like 40 people for each group. In that way, we would
be able to come to a better conclusion. For this kind of study, the more participants we have the
better it is. I could have done, the relationship between color preference and different culture if
would have more data. It would be best if the whole population of the world can be surveyed
through internet or other net-work to see how different cultures, gender and even race play the role
in color preference.
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