SAMPLE Project (Answers and explanations are in red)
I opened the Week 1 Project from Doc Sharing.
Projects
Project 1: Working With the Data Editor.
Downloading Statdisk
1) First go to the website at www.statdisk.org and then scroll down to the bottom of the page to download
the Statdisk program version 11.1.0. by clicking on the windows or the MAC version.
I went to www.statdisk.org and downloaded the statdisk 11.1.0 windows version.
Download Statdisk Version 11.1.0
Statdisk 11.1.0 Windows 2K, XP, Vista
Statdisk 11.1.0 OSX
See the included ReadMe.txt file for details.
Open A Saved Data File
2) After you have opened the Statdisk program, go to Datasets and then Elementary Stats, 9th Edition.
Open the file named SUGAR. The data will appear in column 1 in the Sample Editor.
I opened the statdisk program, went to Datasets, then Elementary Stats, 9th edition and opened the Sugar file.
Copy and Paste a Data File
3) Make a copy of the data values listed in column 1. Paste the data files into column 2. Re-name the title
of column 2 to COPY.
I went to Copy and then selected column 1. I then selected copy. Then I clicked on Paste and chose column 2. I then had 2 identical columns of the Sugar data.
Sorting Data Values
4) Make another copy of the data values listed in column 1 and paste those into column 3. Then sort only
the data values in column 3. Label the column SORT.
I selected Copy and clicked on column 1 and then pasted them into column 3. I clicked on Sort and then selected column 3.
Entering a Set of Data Values
5) Manually enter all of the data values listed below into column 4 in the Statdisk editor. Type all of the data values into the one column in vertical fashion like the other data values are listed in the other columns. It does not matter what order you input the data values. Label the data values with the name of IQ.
I typed the following data into column 4.
83
56
43
65
74
28
88
77
74
51
65
46
55
66
35
75
54
63
74
48
37
57
37
62
32
48
43
52
52
61
80
75
54
45
44
60
65
44
33
32
41
52
38
62
74
74
46
37
37
39
6) What are some of the problems that could occur when entering data values into a statistics technology
editor?
Problems that could occur when entering data values into a statistics technology editor include ………………………………………………………………………..
Sample Transformation
7) Go to the Data menu then select Sample Transformations to add 100 to all of the data values in column 4 and then paste them into column 5.
I went to the Data menu and ……………………………………………………………………………..
Classifying Variables
8) Would the grams of sugar data in column 1 be considered a sample or a population?
The grams of sugar data in column 1 would be considered a ……………..
9) State whether the sugar variable is qualitative or quantitative?
The sugar variable is ……………………………..
10) State whether the sugar variable is discrete, continuous or neither?
The sugar variable is ………………………….
11) State the level of measurement for the sugar variable.
The level of measurement is ………………………………..
Saving Data and Submitting Work
12) Save all of the data in columns 1-5. Be certain to add column labels to the data set. Make a copy of the data values and paste them into a Word file with the answers to the questions. Submit that one file to the dropbox.
Sugar Copy Sort IQ IQ + 100
3.647 3.647 3.407 83 183
3.638 3.638 3.45 65 165
3.635 3.635 3.464 37 137
3.645 3.645 3.468 80 180
3.521 3.521 3.475 41 141
3.617 3.617 3.482 56 156
3.666 3.666 3.491 46 146
3.588 3.588 3.492 57 157
3.545 3.545 3.494 75 175
3.59 3.59 3.494 52 152
3.621 3.621 3.506 43 143
3.532 3.532 3.507 55 155
3.511 3.511 3.508 37 137
3.516 3.516 3.511 54 154
3.531 3.531 3.516 38 138
3.678 3.678 3.521 65 165
3.643 3.643 3.522 66 166
3.583 3.583 3.522 62 162
3.723 3.723 3.526 45 145
3.673 3.673 3.531 62 162
3.588 3.588 3.532 74 174
3.6 3.6 3.535 35 135
3.611 3.611 3.542 32 132
3.58 3.58 3.545 44 144
3.667 3.667 3.548 74 174
3.506 3.506 3.569 28 128
3.632 3.632 3.573 75 175
3.45 3.45 3.576 48 148
3.66 3.66 3.577 60 160
3.569 3.569 3.58 74 174
3.573 3.573 3.582 88 188
3.526 3.526 3.582 54 154
3.494 3.494 3.583 43 143
3.601 3.601 3.585 65 165
3.604 3.604 3.588 46 146
3.407 3.407 3.588 77 177
3.522 3.522 3.59 63 163
3.598 3.598 3.598 52 152
3.585 3.585 3.6 44 144
. . . . .
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and so on. Be certain to show the entire data set results for the Week 1 Project.
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