Statistics 101 Lab 2 LAVC Excel Project Need help with an excel project, One of my labs. I absolutely don’t understand how to do this. I need every little

Statistics 101 Lab 2 LAVC Excel Project Need help with an excel project, One of my labs. I absolutely don’t understand how to do this. I need every little detail very organized on my files. Please let me know you have any questions. 20190131030723lab_3_correlation_data.xls 1/31/2019
SCHOOL
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
ARLETA HS
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
FINAL
0
0
0
0
31
32
33
37
37
38
39
39
39
40
40
41
43
43
44
46
48
49
49
51
53
53
58
59
62
66
70
71
83
85
89
91
17
18
25
27
28
28
31
32
GRADE
F
F
F
F
D
C
F
C
F
C
C
D
F
C
C
C
D
D
C
B
B
A
A
C
B
B
A
A
A
D
A
C
B
B
A
B
F
F
D
F
F
F
D
F
GPA
2
1.24
2.13
1.72
2.32
2.68
1.39
2.32
1.18
2.89
2.22
2
1.23
2.01
2.02
2.46
2.4
1.84
2.24
2.59
2.35
3.89
3.44
2.52
2.85
2.38
3.44
3.88
3.08
1.8
3.26
2.56
3.13
3.48
3.4
3.25
1.05
1.95
2.74
2.25
2.01
2.2
2.71
1.86
Randomly
Selected
LAVC
Row #s
83
85
146
105
68
115
125
51
108
128
76
112
93
135
39
48
71
120
114
138
84
LAVC
Monroe
Randomly
Selected
Monroe
Row #s
158
154
177
152
199
159
207
188
163
190
170
175
196
186
166
174
183
176
203
194
165
range: cells 38-146
range: cells 147-211
1
20190131030723lab_3_correlation_data.xls 1/31/2019
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
33
34
34
34
35
36
37
37
37
38
39
39
39
40
41
41
42
42
43
44
44
44
45
45
45
46
46
46
46
47
47
48
48
49
50
50
51
51
51
52
53
53
53
53
54
55
55
55
C
D
D
F
F
F
C
C
D
D
B
F
F
C
C
C
B
F
F
B
B
C
A
D
F
C
C
D
F
A
C
B
B
C
D
D
C
C
D
C
A
A
A
F
A
A
A
A
2.66
2.5
1.76
1.41
2.17
2.16
1.92
2.94
2.36
2.56
3.03
1.49
1.88
2.32
1.93
2.48
2.84
2.11
2.16
2.62
2.36
2.04
3.45
1.92
1.27
2.22
2.54
2.22
1.61
3.47
2.96
2.41
3.3
3.03
2.13
1.99
1.9
2.72
2.49
2.66
3.67
3.27
3.93
1.84
3.85
3.59
3.35
3.41
2
20190131030723lab_3_correlation_data.xls 1/31/2019
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
LAVC
55
56
56
56
58
58
58
58
59
59
59
60
60
62
63
64
64
64
64
67
68
68
69
69
71
71
71
72
72
72
73
73
73
73
73
73
75
75
75
75
77
77
78
78
78
78
80
80
F
C
D
F
A
A
D
D
A
A
A
B
C
D
A
A
B
B
C
A
A
C
C
C
C
C
C
C
C
C
C
C
C
C
C
C
A
C
C
C
C
C
A
B
B
C
A
C
2.11
3.08
2.51
1.96
3.52
3.16
1.87
2.21
3.09
3.34
4
3.37
2.62
1.67
3.93
3.53
2.4
2.81
2.11
3.34
3.01
2.64
1.98
3.2
2.91
2.6
2.15
2.75
2.25
3.09
1.94
2.66
2.53
2.59
1.96
2.52
3.78
2.17
2.12
2.38
2.26
1.91
3.03
3.46
2.9
2.43
3.65
2.53
3
20190131030723lab_3_correlation_data.xls 1/31/2019
LAVC
LAVC
LAVC
LAVC
LAVC
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
81
82
84
85
87
0
0
20
23
30
30
30
31
31
31
32
32
32
34
34
34
35
36
37
37
37
38
38
38
39
39
40
43
44
44
44
45
45
45
45
47
47
49
49
50
50
50
51
A
B
B
A
B
F
F
F
F
C
C
F
C
F
F
C
D
F
C
F
F
D
F
C
D
D
C
C
C
C
D
C
C
B
C
F
C
C
D
D
C
C
A
C
A
B
C
B
3.64
3.34
2.34
3.94
2.33
1.59
2.18
1.72
1.43
2.09
3
1.84
2.11
1.09
1.17
2.3
2.59
1.57
2.73
2.23
2.05
2.07
2.1
2.32
2.25
1.77
3.09
2.77
2.45
2.63
2.87
1.94
2.38
2.87
2.48
1.86
2.98
3.15
2.86
1.96
2.61
2.46
3.61
3.13
3.96
2.35
2.17
2.75
4
20190131030723lab_3_correlation_data.xls 1/31/2019
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
MONROE HS
53
53
53
55
56
56
57
57
57
60
60
61
62
65
65
69
69
72
72
73
78
79
B
B
F
A
A
F
A
A
B
A
A
A
A
A
A
B
C
C
C
C
C
C
2.67
2.58
2.24
3.16
3.34
1.34
3.75
3.68
2.32
3.13
3.46
3.84
3.42
3.64
4
2.88
3.16
2.7
2.65
3.09
2.33
2.22
5
Statistics 101 Lab Exercise 3: Correlation
This lab can be performed by one student or two in the lab or on another computer that uses
Microsoft Excel as long as the student has access to the data sets required. This lab assumes a
familiarity with the basic functions of the Excel application and that the student will practice the
statistical functions needed to work the lab.
In the last lab, we organized the data into a useful form that could be used to test hypotheses
about two independent samples to determine if they were significantly similar or not. What if we
want to determine simply if two variables are related at all? This calls for correlational statistical
methods. In particular, in this lab, you will learn how to apply the Pearson correlation to
samples of data from the original Lab 1 dataset which has been updated to included data on
student grade point average (GPA). You will organize the data into arrays that can be operated
on by Excel functions. You will select the functions that allow you to determine a Pearson
correlation coefficient, derive the appropriate statistic, and make a decision whether to reject
the null hypothesis. From this you will interpret your results.
For this lab you will need the following items:
Computer running Windows XP or later operating system (Mac running OS 10.6 or later)
Microsoft Excel 2003 or later version
Data set: Lab_3_Correlation_Data.xls (download or sent by email)
Goals of the lab:
1.
To become more competent in the use of the statistical functions of Microsoft Excel.
2.
To make concrete use of the concepts of correlation and covariability in the context of
inferential statistics for real data sets.
3.
To determine and to display the data and results in a manner visually appropriate to the
2
Pearson r and r statistics.
Assignment
1.
Create a folder on the desktop of your PC titled:
“Stat 101_[Your FirstNameLastName]_Lab3”
2.
Download to that folder the data set “Lab_3_Correlation.xls” from email or Canvas.
3.
Open that data set in a new Excel window.
4.
Think ahead. When you are done today, be sure to email yourself a copy of your worked
dataset so that you have a backup to work on at home.
5.
Recall from previous labs that the data set you have opened contains three variables:
SCHOOL (the school the students attended when they took the Psychology 1 class),
GRADE (the letter grade the student earned in the class), and FINAL (the score the student
got on the final exam).
6.
To this has been added another column of data: GPA, the grade point average of each
student at the time that he or she took the final exam for that Psychology 1 class.
7.
This data is not yet in a form that would allow you to test hypotheses about relationships
among the possible variables from the different SCHOOL populations. Also, the size of the
data set is still a bit difficult to handle. We need to sample from the larger population to
produce two groups of equal sample size so we can test hypotheses of covariance about
them.
Dr. Farris has used the RANDBETWEEN function in Excel to randomly select two
samples of equal size, one from each of the LAVC and Monroe High School populations.
These are not the same subjects that were selected for Lab 2.
8.
9.
10.
Using this information, you will consider what hypotheses the data will allow you to test.
Consider all that you know, and do not know, about these samples in making your
decisions.
Follow the four steps of hypothesis decision-making for the Pearson r. Show all your
calculation work, or state the reasons for your decisions, at the end of each step.
You may refer to your text and notes for guidance. For your chosen research question, you
will print a report that follows APA style guidelines and that includes:
(1) the scale of measurement;
(2) provide the appropriate null hypotheses, correctly stated;
(4) provide the appropriate alternate hypotheses, correctly stated;
(5) provide the output from Excel (attach to your report). This will include the appropriate
table including all main calculations from the equations at each step of the Pearson r
method. You do not need to print all the data from the dataset, just those columns and rows
that you used in your analysis;
NOTE: organize your tables and charts in your Excel worksheet(s) so that when they are
printed all items fall neatly within a page either in portrait or landscape page orientation;
(6) provide the chart (graph) of the results (this will be different from past graphs);
(7) print the output of Excel and graph. You may combine these into one Word document,
if you wish;
(8) type a paragraph which explicitly describes the steps you took to organize your data and
to test your hypotheses; and
(9) type no more that a one paragraph summary of what the output shows. Write this so
clearly that an intelligent high school senior could understand it. For instance, you might
have another college student who has not taken statistics read it and comment on its clarity.

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