NU 616 Inferential Data Analysis Report Instructions Fall 2023
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Jan 9, 2024
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Inferential Data Analysis Report: Instructions Step 1: Export data.
Download your data from REDCap into SPSS – see resources posted in the course module to help you with this process. You will need to link/add this data to your existing data set. Use the unique identifiers to help you match participant data. Remember
: the automatic export feature from REDCap to SPSS is a nicety. Students (particularly Mac users) have encountered difficulty consistently getting this feature to work. All available resources have been posted in the course module. If you are still unsuccessful after trying these fixes, it is recommended that you proceed with manual entry of your data. Step 2: Statistical analyses.
Complete FOUR
(4) unique statistical analyses total: 1.
2.
3.
4.
Question 1 (inferential or group differences) Question 2 (correlation) Question 3 (additional inferential, group differences, correlations, or crosstabs not previously performed in the descriptive data analysis report) Question 4 (same criteria as Question 3) BONUS OPPORTUNITY
: The assignment rubric requirements specify that only additional correlation or crosstabs not previously performed are required for full credit of the data analyses for Questions 3 and 4. If you choose to perform an inferential test and/or tests of group differences, as appropriate to your data set, you will earn an additional 1 bonus point per question for Questions 3 and 4 for the opportunity of TWO (2) total bonus points. Step 3: Graphical displays.
Create ONE
(1) graphical (i.e., bar graphs, pie charts, scatter plots, box plots, histograms) display for: 1.
Question 2 (correlation) 2.
Include additional graphs/charts as applicable to analyses in Question 3 and 4 Step 4: Knowledge chart.
Complete the Knowledge Chart for each of the 4 questions. (a)
Copy each question you are asking of your data (from your posttest survey worksheet) into the Research Question used for the Analysis
column. (b)
Identify why you asked that question of your data in the Purpose of Analysis
column.
(c)
Identify you Independent and Dependent variables (note: If you have more than one dependent variable, you may include all of them in the dependent variable column.). (d)
Identify the analysis ran on your data. (e)
Give the raw results of your data analysis. Remember that this includes a narrative summary of your SPSS output included in the report. An interpretation and discussion of the data will be included in the next section.
Step 5: Results.
Use the raw results of your data analysis in the Knowledge Chart to present the results of your survey(s) here. This section should include a minimum of FOUR
(4) sentences and a discussion and interpretation of your findings. Use the guides in Laerd Statistics to help you interpret and write up your results. Step 6: Recommendations for future.
Discuss each of the following items: 1.
What have you learned about data? 2.
What have you learned about data collection? 3.
What have you learned about data management? 4.
What have you learned about data analysis? 5.
What would you do differently next time? This section should be a minimum of FIVE
(5) sentences and reference at least ONE
(1) source. Other Assignment instructions: •
There is a report template included for this assignment. Points may be deducted from scholarship for failure to use the provided template. •
The report title page is in APA format; however, the remainder of the report should follow the template. •
All references should be cited in APA format. •
Writing should be formal and avoid first person •
A minimum of ONE (1) scholarly reference is required – textbooks are permissible.
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Related Questions
Now monitor the process. An additional ten days of data have been collected, see table labeled “1st 10 Days of Monitoring Reservation Processing Time” in the Data File.
Develop Xbar and R charts for the 1st 10 days of monitoring. Plot the data for the 1st 10 days on the Xbar and R charts.
Is the process in control? If the control chart indicates an out-of-control process, note which days, the pattern, and whether it is the Xbar or R chart.
Based on the X-bar and R Charts that you developed for the 1st 10 days of data, is the process in control?
Group of answer choices
No. The X-bar and R Charts are both out of control.
No. The X-bar Chart is in control, but the R Chart is out of control.
No. The R Chart is in control, but the X-bar Chart is out of control.
Yes. The X-bar and R Charts are both in control.
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Continue monitoring the process. A second ten days of data have been collected, see table labeled “2nd 10 Days of Monitoring Reservation Processing Time” in the Data File.
Develop Xbar and R charts for the 2nd 10 days of monitoring. Plot the data for the 2nd 10 days on the Xbar and R charts.
Is the reservation process for the 2nd 10 days of monitoring in control? If the control chart indicates an out-of-control process, note which days, the pattern, and whether it is the Xbar or R chart.
Based on the X-bar and R Charts that you developed for the 2nd 10 days of data, is the process in control?
Group of answer choices
No. The X-bar and R Charts are both out of control.
No. The X-bar Chart is in control, but the R Chart is out of control.
No. The R Chart is in control, but the X-bar Chart is out of control.
Yes. The X-bar and R Charts are both in control.
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Explain when can we use data grouping?
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On a cold day in Minneapolis, the afternoon temperature was 48 degrees before a cold front moved through. As
the front moved through the temperature dropped an average of 5 degrees per hour for a total of 5 hours.
14
2/1
Identify the domain of the data set.
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On December 17, 2007 baseball writer John Hickey wrote an article for the Seattle P-I about increases to ticket prices for Seattle Mariners games during the 2008 season. The article included a data set that listed the average ticket price for each MLB team, the league in which the team plays (AL or NL), the number of wins during the 2007 season and the cost per win (in dollars). The data for the 16 National League teams are shown below.
team
league
price
wins
cost/win
Arizona Diamondbacks
NL
19.68
90
35.40
Atlanta Braves
NL
17.07
84
32.89
Chicago Cubs
NL
34.30
85
65.33
Cincinnati Reds
NL
17.90
72
40.32
Colorado Rockies
NL
14.72
90
26.67
Florida Marlins
NL
16.70
71
38.13
Houston Astros
NL
26.66
73
59.11
Los Angeles Dodgers
NL
20.09
82
34.64
Milwaukee Brewers
NL
18.11
83
35.37
N.Y. Mets
NL
25.28
88
46.56
Philadelphia Phillies
NL
26.73
89
48.69
Pittsburgh Pirates
NL
17.08
68
40.67
San Diego Padres
NL
20.83
89
38.15
San Francisco Giants
NL
24.53
71…
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On December 17, 2007 baseball writer John Hickey wrote an article for the Seattle P-I about increases to ticket prices for Seattle Mariners games during the 2008 season. The article included a data set that listed the average ticket price for each MLB team, the league in which the team plays (AL or NL), the number of wins during the 2007 season and the cost per win (in dollars). The data for the 16 National League teams are shown below.
team
league
price
wins
cost/win
Arizona Diamondbacks
NL
19.68
90
35.40
Atlanta Braves
NL
17.07
84
32.89
Chicago Cubs
NL
34.30
85
65.33
Cincinnati Reds
NL
17.90
72
40.32
Colorado Rockies
NL
14.72
90
26.67
Florida Marlins
NL
16.70
71
38.13
Houston Astros
NL
26.66
73
59.11
Los Angeles Dodgers
NL
20.09
82
34.64
Milwaukee Brewers
NL
18.11
83
35.37
N.Y. Mets
NL
25.28
88
46.56
Philadelphia Phillies
NL
26.73
89
48.69
Pittsburgh Pirates
NL
17.08
68
40.67
San Diego Padres
NL
20.83
89
38.15
San Francisco Giants
NL
24.53
71…
arrow_forward
On December 17, 2007 baseball writer John Hickey wrote an article for the Seattle P-I about increases to ticket prices for Seattle Mariners
games during the 2008 season. The article included a data set that listed the average ticket price for each MLB team, the league in which the team
plays (AL or NL), the number of wins during the 2007 season and the cost per win (in dollars). The data for the 16 National League teams are shown
below.
league
price
wins
cost/win
team
Arizona Diamondbacks
NL
19.68
90
35.40
Atlanta Braves
NL
17.07
84
32.89
Chicago Cubs
NL
34.30
85
65.33
cincinnati Reds
NL
17.90
72
40.32
Colorado Rockies
NL
14.72
90
26.67
Florida Marlins
NL
16.70
71
38.13
Houston Astros
NL
26.66
73
59.11
Los Angeles Dodgers
20.09
82
34.64
NL
Milwaukee Brewers
NL
18.11
83
35.37
N.Y. Mets
NL
25.28
88
46.56
Philadelphia Phillies
26.73
89
48.69
NL
Pittsburgh Pirates
NL
17.08
68
40.67
San Diego Padres
NL
20.83
89
38.15
San Francisco Giants
NL
24.53
71
56.00
St. Louis Cardinals
NL
29.78
78…
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//$$/$/$/$::$/$:Helppppppp
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Briefly describe the methods of collecting primary data
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Install RStudio: Begin by installing RStudio on your computer. If you haven't done so, please refer to the official RStudio website for download and installation instructions.
Watch the Tutorial Video: Watch the provided video tutorial that explains how to run RStudio. Pay close attention to the steps for opening and managing data files. https://www.youtube.com/watch?v=RhJp6vSZ7z0
Open RStudio: Once RStudio is installed, open the application.
Load the Dataset: In RStudio, open a data file named "mtcars". To do this, type the command mtcars in the script editor and run the command.
Attach the Data: Next, attach the dataset using the command attach(mtcars).
Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include:
Mileage (mpg)
Number of Cylinders (cyl)
Displacement (disp)
Horsepower (hp)
Research: Google to understand these variables.
Statistical Analysis: Select mpg variable, and perform the following…
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added 2 images
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An business reviews data on the daily amount of calls it receives. Are the data discrete or continous?
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A group of people at the park were asked their ages, and the results can be downloaded from the data file Ages.
In StatKey, which menu option would you select under "Descriptive Statistics and Graphs" to graph the data?
One Quantitative
One Categorical
One Quantitative and One Categorical
A group of people at the park were asked their ages, and the results can be downloaded from the data file Ages.
Summarize this data by creating a histogram with StatKey, and submit your graph as a PDF. When creating your graph, please make sure the number of buckets is set to 10.
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The number of awards earned by students at one high school is recorded. Predictors of the number of awards earned include the type of program in which the student was enrolled (e.g., vocational, general or academic) and the score on their final exam in math.
Variables
Participant number (ID)
Number of awards
Program type (vocational - 1; general - 2; academic - 3
Math Score
id num_awards prog math
45 1 3 41
108 1 1 41
15 1 3 44
67 1 3 42
153 1 3 40
51 1 1 42
164 1 3 46
133 1 3 40
2 1 3 33
53 1 3 46
1 1 3 40
128 0 2 38
16 1 3 44
106 1 3 37
89 1 3 40
134 1 1 39
19 1 1 43
145 0 3 38
11 1 2 45
117 0 3 39
109 1 1 42
12 1 3 45
37 1 3 40
69 0 3 40
43 1 2 43…
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Please complete the following question. Make sure you are responding to all parts of the question.
The number of awards earned by students at one high school is recorded. Predictors of the number of awards earned include the type of program in which the student was enrolled (e.g., vocational, general or academic) and the score on their final exam in math.
Variables
Participant number (ID)
Number of awards
Program type (vocational - 1; general - 2; academic - 3
Math Score
id num_awards prog math
45 1 3 41
108 1 1 41
15 1 3 44
67 1 3 42
153 1 3 40
51 1 1 42
164 1 3 46
133 1 3 40
2 1 3 33
53 1 3 46
1 1 3 40
128 0 2 38
16 1 3 44
106 1 3 37
89 1 3 40
134 1 1 39
19 1 1 43
145 0 3 38
11 1 2 45
117 0 3 39
109 1 1 42
12 1 3 45
37 1 3 40
69 0 3 40
43 1 2 43…
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tion 2 of 15
Last summer, the Smith family drove through seven different states and visited various popular landmarks. The prices of gasoline
in dollars per gallon varied from state to state and are listed below.
$2.34, $2.75, $2.48, $3.58, $2.87, $2.53, $3.31
Click to download the data in your preferred format.
CrunchIt! CSV Excel JMP Mac Text Minitab PC Text R SPSS TI Calc
Calculate the range of the price of gas. Give your solution to the nearest cent.
range:
dollars per gallon
DELL
&
4.
7
8.
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How important is discrete mathematics for a Data analysis?
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Mode can be more than one in a data set but medium cannot be.explain
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Give a detailed outline for this:
Also, do not give plagirised answer.
Suppose that you have two sets of data. The first set is a list of all the
injuries that were seen in a clinic in a month's time. The second set
contains data on the number of minutes that each patient spent in the
waiting room of a doctor's office. You can make assumptions about
other information or variables that are included in each data set.
For each data set, propose your idea of how best to represent the key
information.
To organize your data, would you choose to use a frequency table, a
cumulative frequency table, or a relative frequency table? Why?
What type of graph would you use to display the organized data from
each frequency distribution? What would be shown on each of the
axes for each graph?
Minimum of 1 scholarly source and one appropriate resource such as
the textbook, math video, and/or math website
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- Install RStudio: Begin by installing RStudio on your computer. If you haven't done so, please refer to the official RStudio website for download and installation instructions. Watch the Tutorial Video: Watch the provided video tutorial that explains how to run RStudio. Pay close attention to the steps for opening and managing data files. https://www.youtube.com/watch?v=RhJp6vSZ7z0 Open RStudio: Once RStudio is installed, open the application. Load the Dataset: In RStudio, open a data file named "mtcars". To do this, type the command mtcars in the script editor and run the command. Attach the Data: Next, attach the dataset using the command attach(mtcars). Examine the Variables: Carefully review and note the names of all variables in the dataset. Examples of these variables include: Mileage (mpg) Number of Cylinders (cyl) Displacement (disp) Horsepower (hp) Research: Google to understand these variables. Statistical Analysis: Select mpg variable, and perform the following…arrow_forwardadded 2 imagesarrow_forwardAn business reviews data on the daily amount of calls it receives. Are the data discrete or continous?arrow_forward
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