San Diego State University Anova Beer Consumption Statement Excel Stat Pack 3 The professor provides data tables that need to be edited and arranged using

San Diego State University Anova Beer Consumption Statement Excel Stat Pack 3 The professor provides data tables that need to be edited and arranged using data analytics and such. The instructions are step by step listed by the links below. Im not sure if you need the class survey but im going to provide it anyway. My name is Nicole Bazzi for the signature section. RED ID: 822591309 A
1
B
C
D
E
Beer Consumption by States (Gallons per Year per Adult of Drinking Age)
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Northeast
20.A
28.7
33.8
20.2
23.6
40.6
20.6
21.9
26.4
23.0
32.8
Southeast
28.9
23.B
26.3
24.0
23.6
29.6
30.9
25.0
30.9
24.4
24.4
27.4
Midwest
27.4
23.6
31.C
25.7
25.3
28.4
27.7
33.3
38.3
27.3
38.2
34.3
Southwest
26.6
28.8
25.1
31.8
West
26.0
25.1
28.3
28.D
25.9
39.4
32.9
30.0
18.7
24.7
29.5
A
B
1
2
3
4
5 Employee
6
1
7
2
8
3
9
4
10
5
11
6
12
7
13
8
14
9
15
10
16
11
17
12
18
13
19
14
20
15
21
16
22
17
23
18
24
19
25
20
26
21
27
22
28
23
29
24
30
25
31
26
32
27
33
28
34
29
35
30
36
31
37
32
38
33
39
34
40
35
41
36
42
37
43
38
44
39
45
40
46
41
47
42
48
43
49
44
50
45
C
D
E
River Run Corp Wellness Program
Sample Only Sample Only
Gender
0
0
1
1
0
1
0
1
0
0
1
1
1
1
0
0
1
0
0
1
1
0
1
0
1
0
0
1
1
0
1
1
1
0
1
0
0
0
0
1
1
0
1
0
0
Age
43
53
45
36
37
58
39
40
35
42
43
61
41
46
47
48
37
51
51
46
53
54
55
53
35
58
59
60
63
60
56
54
54
55
55
54
54
54
54
53
45
48
50
51
52
Weight
137
146
117
115
118
271
247
91
115
126
188
203
102
181
156
125
120
157
142
144
163
163
215
167
98
155
142
131
192
175
154
128
124
139
123
170
207
163
175
145
91
158
95
131
139
Chol
176
170
212
176
152
230
218
168
170
177
232
234
156
170
182
180
177
162
172
144
172
170
200
192
152
158
172
192
252
210
182
172
172
192
217
194
182
202
182
182
182
262
148
174
152
F
G
H
Phys Act
4
3
5
5
5
2
0
2
3
2
0
0
3
3
3
2
7
2
2
4
3
3
3
1
4
5
3
4
2
2
2
2
4
2
0
3
4
3
3
4
3
5
3
1
2
Medical
($345)
($255)
($680)
($550)
($760)
$315
$415
($110)
($330)
($70)
$130
$560
($470)
($270)
($120)
($80)
($640)
($220)
($180)
($590)
($340)
($215)
$230
$205
$0
($430)
$130
$140
$530
$450
($130)
($70)
($360)
$60
$510
($95)
$200
($160)
($310)
($380)
($295)
$440
$0
($40)
($100)
Sample
BP: Syst
121
119
117
123
117
161
155
123
117
117
155
160
119
127
129
123
117
119
119
119
121
127
159
157
117
115
125
135
163
160
131
123
115
123
155
127
125
139
135
127
117
167
119
137
129
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
A
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
B
1
1
0
0
0
0
0
0
1
1
0
0
1
1
0
1
0
1
0
1
0
0
1
1
1
0
1
0
0
0
1
0
1
0
1
0
1
0
0
0
1
1
0
1
0
0
0
1
1
0
1
C
53
54
48
47
47
47
63
39
40
63
54
54
55
56
60
41
49
59
49
52
54
54
54
65
50
39
51
46
38
50
51
52
49
46
49
52
59
55
56
49
50
52
47
48
44
55
53
51
52
55
54
D
104
139
159
147
129
169
209
153
120
199
159
158
134
135
188
127
152
178
155
127
159
162
139
214
127
155
115
128
164
133
134
129
130
134
121
142
287
144
159
148
167
188
161
181
175
159
157
96
126
158
146
E
192
182
172
157
168
182
208
172
178
196
162
166
162
172
218
160
190
194
168
172
166
232
172
252
160
162
182
152
162
160
180
144
176
162
184
164
254
172
192
184
176
174
182
172
192
217
176
180
167
212
177
F
115
115
117
117
118
117
157
123
137
155
127
127
125
121
151
127
125
163
121
131
125
135
132
177
129
125
111
127
127
129
125
125
127
117
121
125
160
127
139
115
141
131
133
127
131
137
133
127
119
127
117
G
3
3
3
3
5
4
3
3
3
0
2
2
3
3
2
3
3
2
1
2
2
2
4
2
3
2
3
3
4
4
4
2
2
3
2
3
2
1
2
2
1
2
3
3
5
2
2
2
3
1
4
H
($170)
($110)
$50
($210)
($230)
($300)
$510
($330)
($280)
$610
($110)
($15)
($210)
($150)
$440
($315)
($80)
$380
($40)
($140)
($110)
($160)
($230)
$580
($155)
($90)
($120)
($360)
($415)
($200)
($170)
($100)
($190)
($330)
($40)
($100)
$410
$20
$110
$0
($20)
($140)
($220)
($190)
($460)
$55
($80)
($130)
($200)
$130
($320)
102
103
104
105
A
97
98
99
100
B
0
1
0
0
C
48
50
52
54
D
138
158
149
165
E
166
202
175
188
F
125
117
125
125
G
5
4
3
3
H
($360)
($235)
($200)
($145)
Excel Stat Pack 3
B-E-E-R IN THE U-S-A
One-Way Anova
The Facts
For internal comparison purposes the USA is often divided into five
distinct regions:
1.
2.
3.
4.
5.
Northeast (CT, DE, ME, MD, MA, NH, NJ, NY, PA, RI, VT)
Southeast (AL, AR, FL, GA, KY, LA, MS, NC, SC, TN, VA, WV)
Midwest (IL, IN, IA, KS, MI, MN, MO, NE, ND, OH, SD, WI)
Southwest (AZ, NM, OK, TX)
West (AL, CA, CO, HI, ID, MT, NV, OR, UT, WA, WY)
Despite any trends, shifts, and niches within the market beer remains the
most popular alcoholic drink in America. But is the consumption of beer
evenly distributed across regions or are some regions within the USA
consuming more beer than others?
Steps:
1) Pull up the Beer Consumption data.
2) Click on the DATA TAB, select Data Analysis, and then select
ANOVA: Single Factor.
3) Fill in the entries for the dialog box as follows.
Input Range: $A$3:$E$15. (Notice this includes the cells
containing the labels.)
Grouped BY: Columns (Default choice)
Click on Labels in First Row.
Alpha: .01.
Click on output Range: $A$17.
Click OK.
4) Format column widths so data is legible. Format data to no more
than 3 decimal places!
5) SEE LAST PAGE, SUMMARY POSITION (following the River Run Wellness
Sample).
6) You only need to submit the output table. No Raw data.
Excel Stat Pack 3
1
Multiple Regression: Class Survey Data
Same steps as the C-13 SLR assignment, only here there will be more than
one X-variable. [Also, River Run from the videos is below as an example.]
• Y-variable: GPA
• Use at least 3 but no more than 4 X-variables.
• Use one dummy variable (provided in the Class Survey file). If you want
to use your own D-variable https://www.youtube.com/watch?v=TBJsEb2UCPs
• Note 1 ? Survey data falls into various categories: external factors,
demographic, non-intellectual personality traits, emotional measures,
and spiritual/religious dimensions.
• Note 2 ? Spend time up-front thinking about what a good model might be.
Have an overarching idea for your model. Then support that idea by the
individual X-variables you select.
• Note 3 ? Doing Note 2 will make writing your regression statement much
easier and much better. See Note 4 below.
• Copy & Paste your variables onto a new sheet. X-variables need to be in
adjacent columns with the Y-variable (GPA) in a column before/after.
• Do not select any of the Residual choices or Plots in the pop-up box.
• Create a multicollinearity table. See, Setting Up Multicollinearity Table
in the River Run Wellness example below. Copy & paste the table below the
regression output.
• Note 4: I am not looking for one correct model or even a useful model. I
want to see if you can create a model, articulate your reasoning for your
model/variables (see note 2 above), state the ways the results support
and/or do not support your thinking, and any specific conclusion regarding
your particular outcome. Overall, your writing should display insight
into your thinking, reasoning, and understanding of multiple regression.
SUMMARY POSITION PAGE:
• Response must be in solely of your work & in your own words.
• It may help to read the CBA Written Communication Rubric posted on BB.
• You are not getting a degree in data entry or Excel, so whether a score
moves towards 15 or towards 0 will be determined to the degree to which
the submission is a well-executed, blended expression of subject matter
context and statistics.
• Use 11pt/12pt font, type your name at bottom, and do not exceed 1 page.
• Attach the Summary Position page to the FRONT of your work.
Formatting: Set cells to 3 decimals and clean up tables. Do NOT turn in
the raw data. Do NOT turn in any residuals. Do NOT turn in any graphs.
Submission Order –
• Page 1: Summary Position Page
• Page 2: Anova Output Table (no raw data)
• Page 3: Multiple Regression Output Tables and Multicollinearity Matrix
3
Excel Stat Pack 3
THE MULTIPLE REGRESSION SAMPLE ON THE PAGES BELOW IS FOR THE MULTIPLE
REGRESSION OUTPUT COVERED IN THE CHAPTER 13 LECTURE. IT IS PROVIDED HERE
AS AN EXAMPLE ONLY. DO NOT SUBMIT ANYTHING FROM THIS EXAMPLE. UNDER IT’S
OWN SPECIFIC HEADING, THE EXAMPLE DOES CONTAIN THE DIRECTIONS TO CREATE A
MULTICOLLINEARITY TABLE.
4
Excel Stat Pack 3
RIVER RUN WELLNESS PROGRAM: Multiple Regression
The Facts: Soaring health care spending is a drag on the profits of
many companies. So businesses have a growing interest in sponsoring
wellness programs. Studies show such programs can decrease employee
absenteeism, workplace injuries, and medical claims. Also wellness
programs have a positive ROI, by a factor ranging from $2.50 to $4.50
for every $1 spent.
While employee participation in wellness programs is often voluntary,
many companies offer incentives to join. For those joining a wellness
program, companies utilize a health risk assessment, a self-reported
survey that collects baseline data on the health of an employee.
Last year River Run Processing Corp implemented a wellness program.
Worksheet 7 contains a partial list of the data River Run Corp has
collected to help them analyze their recently implemented program.
Independent variables include:
1. Gender — Male = 0; Female = 1
2. Age
3. Weight
4. Cholesterol level
5. Blood Pressure: Systolic
6. Physical Activity: Number of times per week
The dependant variable is Medical, the difference (in dollars ($)),
in the employees’ medical cost for the first year.
Note: There are no “lettered cells” in this example.
Steps:
1) Pull up the River Run Corp Wellness Program data. The steps are
the same as the previous example, only now you will use six
independent variables (X-variables).
2) Click on the DATA TAB, select Data Analysis, and then select
Regression.
Input Y Range: H$5:$H$105
Input X Range: $B$5:$G$105
Click Labels
Grouped by Columns (If asked.)
Click New Worksheet Ply
Excel Stat Pack 3
5
Setting up Multicollinearity Table
3) Place cursor on the third empty cell below the last line of your
output (Cell A132 or thereabouts).
4) Return to the River Run Corp data. Click on the DATA TAB,
select Data Analysis, and then select Correlation.
Input Range: $B$5:$H$105 (All the data, Xs, Y, and
Labels) Grouped By: Columns (Default Setting)
Click on Labels in the first row
Click on Output Range and input a cell outside the range of
your data. Click OK
5) Copy and paste the correlation matrix (created in step 4) below
your multiple regression output tables.
6
Excel Stat Pack 3
SUMMARY POSITION
[5 Points] Anova Beer Consumption Statement?
[15 Points] Multiple Regression GPA Statement:
_________________________________________________________________________________________________________________
Stop Here ~ Use 11- or 12-Point Font ~ Make Sure Your Name Below is on This Page ~ 1 Page Limit
The above is solely my work and in my own words.
Last Name, First Name (Type):
Major
Accounting
Entrepreneurship
Marketing
Marketing
Marketing
General Business/Management
Accounting
General Business/Management
Marketing
Marketing
Accounting
Accounting
Accounting
Entrepreneurship
General Business/Management
General Business/Management
Marketing
Marketing
General Business/Management
Marketing
General Business/Management
Accounting
Marketing
Information Systems
Marketing
Marketing
General Business/Management
Marketing
General Business/Management
Entrepreneurship
Accounting
Information Systems
Marketing
General Business/Management
Marketing
Marketing
Marketing
Marketing
Information Systems
General Business/Management
Marketing
Marketing
Information Systems
Accounting
General Business/Management
Marketing
Campus Engagement
Fraternity/Sorority
SDSU Club
SDSU Club
No Affiliation
No Affiliation
Fraternity/Sorority
No Affiliation
No Affiliation
Fraternity/Sorority
Fraternity/Sorority
No Affiliation
SDSU Club
SDSU Sports Team
SDSU Club
SDSU Club
No Affiliation
Fraternity/Sorority
SDSU Club
Fraternity/Sorority
SDSU Club
Fraternity/Sorority
SDSU Club
SDSU Club
No Affiliation
No Affiliation
No Affiliation
SDSU Club
No Affiliation
No Affiliation
No Affiliation
SDSU Club
No Affiliation
No Affiliation
No Affiliation
No Affiliation
No Affiliation
Fraternity/Sorority
No Affiliation
Fraternity/Sorority
No Affiliation
SDSU Club
SDSU Club
No Affiliation
No Affiliation
Fraternity/Sorority
No Affiliation
No. of Units
15
15
14
16
13
15
13
14
15
16
16
15
14
14
15
13
10
16
14
14
17
15
11
15
16
16
18
13
15
17
15
16
14
15
16
16
17
17
15
12
16
18
13
6
18
14
Work Hours per Week
40
30
0
17
20
21
24
16
15
0
20
24
20
0
15.5
0
30
6
0
14
15
0
25
0
20
20
25
0
24
0
9
0
23
24
25
16
17
35
19.5
35
6.5
22.5
0
30
0
30
General Business/Management
Marketing
Marketing
Marketing
Accounting
Accounting
Accounting
Fraternity/Sorority
No Affiliation
No Affiliation
No Affiliation
SDSU Club
No Affiliation
No Affiliation
16
12
14
10
12
14
12
2.5
20
0
40
29.5
0
0
Sleep per night
5
7
7
7
6
8
7
6
7
9
9
6
7
6.5
6.5
6.5
5
7
7
8
8
7
7
6.5
7.5
6
5.5
7
7
8
6.5
8
6
5
8
6.5
7
7
7.5
6
7.5
6
8.5
4
5
6
Daily Commute Time
2
1
0
15
2
0.5
1
0.25
1
0.5
1.5
1.5
0.5
0
1
1.5
0.75
1
0
0.25
0.75
1.5
2
0.25
2.25
0.5
1
0
2
0.5
2
0.5
0.25
2.25
1
1
3
2
0.5
1.25
0.5
0.75
1
2.5
0.25
2
Residency Locale
Off campus
Off campus
On campus
On campus
Off campus
Off campus
On campus
Off campus
On campus
Off campus
On campus
Off campus
On campus
On campus
Off campus
Off campus
Off campus
On campus
On campus
Off campus
Off campus
Off campus
Off campus
Off campus
Off campus
Off campus
On campus
On campus
Off campus
On campus
Off campus
On campus
Off campus
Off campus
Off campus
Off campus
Off campus
Off campus
Off campus
Off campus
On campus
Off campus
Off campus
Off campus
Off campus
Off campus
Enrollment Status
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Full-time
Part-time
Full-time
Full-time
Self-Sufficiency
Yes
No
No
No
Yes
No
Yes
No
No
No
No
Yes
No
No
Yes
No
No
No
No
Yes
No
No
No
Yes
Yes
No
No
Yes
No
No
No
No
Yes
No
No
No
No
Yes
No
Yes
No
Yes
No
Yes
No
No
2.1
9
2.5
6
8.25
7
6
1.5
0.5
0.5
1.25
0.75
0.75
0.25
Off campus
Off campus
Off campus
Off campus
Off campus
Off campus
Off campus
Full-time
Full-time
Full-time
Part-time
Full-time
Full-time
Full-time
No
No
No
Yes
Yes
No
No
Known Work Prospect
Yes
Yes
Yes
No
Yes
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
No
No
Yes
No
No
Yes
Yes
No
Yes
Yes
No
No
Yes
No
Yes
Yes
Yes
No
Yes
No
No
Yes
No
No
Yes
No
No
Yes
No
Yes
Parent(s) With Collegee Degree
Yes
No
Yes
Yes
Yes
Yes
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
No
Yes
Yes
Yes
Yes
No
Yes
Yes
Yes
No
No
No
Yes
Yes
No
Yes
No
Yes
Yes
Yes
No
No
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Yes
Gender
Male
Male
Female
Male
Female
Male
Male
Female
Male
Male
Male
Female
Female
Male
Male
Male
Female
Female
Male
Male
Female
Male
Male
Male
Female
Female
Female
Male
Male
Male
Male
Female
Female
Female
Male
Male
Female
Male
Female
Male
Female
Male
Male
Female
Female
Female
Last Semester Rating
2
3
2
4
3
4
1
4
2
5
2
2
4
5
2
5
1
2
4
3
4
3
3
3
1
3
4
5
3
4
3
5
5
1
4
2
4
5
4
3
4
1
5
2
2
3
Yes
No
Yes
No
Yes
Yes
Yes
No
Yes
Yes
No
No
Yes
No
Female
Male
Male
Female
Male
Male
Male
3
1
3
1
3
3
1
Happy with Major?
4
5
5
4
3
4
5
5
3
4
2
3
5
4
3
4
4
5
4
4
5
5
5
3
4
4
3
4
4
4
3
5
4
3
4
4
4
5
5
2
5
5
5
5
4
4
Persistency
5
4
5
4
4
3
4
4
4
3
5
4
4
4
4
5
3
3
4
4
3
3
5
2
4
4
5
5
5
3
3
4
4
4
4
4
2
5
4
4
5
5
4
4
3
5
Procrastination
3
4
4
4
4
4
2
2
3
4
2
2
2
5
4
1
5
4
2
3
3
5
4
5
4
5
3
4
4
1
4
4
2
4
3
3
5
2
3
5
4
5
3
4
3
3
Goal Orientated
5
3
5
3
5
5
5
5
5
4
4
5
4
5
5
5
4
2
3
4
4
1
5
4
4
4
5
5
4
4
3
2
4
4
4
4
2
5
4
4
4
3
4
5
4
4
This Semester Rating
5
4
5
4
4
4
5
5
5
3
3
5
3
2
4
5
5
5
3
4
4
4
5
3
5
4
3
5
4
3
4
5
4
3
5
5
5
5
5
5
5
5
4
4
4
5
5
3
4
3
3
3
5
4
3
4
5
5
3
5
4
4
4
3
3
3
1
5
2
3
4
5
3
5
4
4
4
4
3
3
5
College Stress Level
3
4
5
4
5
2
4
3
5
4
5
5
5
4
5
3
5
4
4
5
3
2
5
5
5
4
5
5
4
4
4
4
5
5
2
5
4
2
4
4
4
5
5
3
4
5
Easily Adaptive
4
4
5
4
5
5
4
5
3
2
5
5
2
3
5
5
4
4
4
4
4
4
4
4
4
5
5
5
5
5
3
5
4
4
3
3
2
5
5
4
5
5
4
3
3
4
Control Negativity
5
3
3
3
4
4
4
5
4
3
5
3
2
4
4
3
4
3
2
4
5
5
3
5
2
2
4
5
5
5
2
3
4
2
5
2
2
5
2
5
3
3
4
4
4
3
Easily Build Relations
4
4
4
4
5
4
5
5
4
2
3
5
3
5
4
3
4
4
3
4
5
4
5
5
4
5
5
3
5
4
4
4
4
4
3
4
3
5
3
5
4
5
4
4
4
4
Prayer/Mediation
4
3
2
1
1
2
3
2
2
1
1
5
4
1
4
5
2
1
1
1
5
1
5
1
1
1
1
1
2
1
2
1
3
1
4
2
1
2
1
2
3
4
4
3
2
5
4
4
4
3
5
3
5
3
3
5
4
4
3
5
4
5
5
3
5
3
5
4
4
5
3
3
3
5
3
1
1
3
1
3
5
Religious/Spirituality
4
2
3
1
1
2
3
4
1
1
1
3
4
1
5
5
2
1
1
1
4
1
5
1
1
1
1
1
3
1
1
1
2
1
3
2
2
1
1
1
4
5
2
2
2
5
Age
21
20
20
20
22
20
24
23
20
21
19
21
20
19
22
36
22
19
20
22
20
20
22
21
21
19
19
22
23
21
24
21
30
20
20
21
20
24
21
22
20
23
20
37
21
21
GPA
3
3.25
3.05
3.43
2.3
3
3.4
3.21
2.91
3.85
3.51
3.7
3.68
3.85
3
3.51
1.77
3.42
3.3
3
3.5
3.55
3.16
3.1
3.36
3.338
3.4
3.1
3.24
3.95
2.75
3.577
3.7
3.4
3.5
3.3
2.9
3.77
3.84
2.9
3
3.07
3.5
3.5
3.1
3
3
1
1
4
1
3
5
21
23
22
24
34
28
27
2.9
2
3
3
3.15
2.93
2.73
Examples of Table & Graphs For Generic Class, Not Your Specific Section. Displayed solely for example purposes.
Happy w/ Major, Female
5
3
5
3
5
4
5
5
4
4
3
5
4
3
4
5
5
5
4
4
5
3
Happy w/ Major, Male
4
5
4
4
5
3
4
2
4
3
4
4
4
5
5
3
4
4
4
3
4
4
5
2
5
5
3
4
3
3
5
College Stress Level, Female
5
5
3
5
5
5
4
3
5
4
5
4
5
5
4
4
4
3
4
5
4
3
College Stress Level, Male
3
4
4
2
4
5
4
5
4
5
3
4
5
2
5
5
5
4
4
4
2
5
2
4
5
5
4
4
5
3
5
Known Work Prospect
1
1
1
0
1
0
1
1
1
1
1
1
1
1
1
0
0
0
1
0
0
1
1
0
1
1
0
0
1
0
1
1
1
0
1
0
0
1
0
0
1
0
0
1
0
1
Self-Sufficiency
1
0
0
0
1
0
1
0
0
0
0
1
0
0
1
0
0
0
0
1
0
0
0
1
1
0
0
1
0
0
0
0
1
0
0
0
0
1
0
1
0
1
0
1
0
0
Parent(s) With Collegee Degree
1
0
1
1
1
1
0
1
1
1
1
1
1
1
0
1
1
1
1
0
1
1
1
0
0
0
1
1
0
1
0
1
1
1
0
0
1
1
1
1
1
1
1
1
1
1
1
0
1
0
1
1
1
0
0
0
1
1
0
0
0
1
1
0
0
1
0
For All Data Sets
1 = Yes
2 = No
Accounting
Female
Entpnr
Gen Bus/Mgt
3
0
6
Male
8
Grand Total
3
6
11
3
12
Info Systems
Marketing
Grand Total
2
11
22
2
12
31
53
4
23

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