Descriptive_Numerical_Analysis_V3_Instructions.docx
Office 2016 – myitlab:grader – Instructions Excel Project
Descriptive Numerical Analysis V3
Project Description:
The present study investigates the distribution of sale prices for homes in a region in upstate New York. This project will also seek to compare the distributions of sale prices between homes with central air and homes without central air. Suppose you are being transferred to this area and are interested in getting a good description of selling prices for homes in this region. The variables collected in the data are: Price: Recorded in dollars; Lot size: measured in acres; Living Area: measured in square feet; Pct College: percent of students going to college; Central Air: No – 0, Yes – 1; Bedrooms: Number of bedrooms; Fireplace: Number of fireplaces; Bathrooms: Number of bathrooms. For the purpose of this project, you will only be using the variables Price and Central Air.
Instructions:
For the purpose of grading the project you are required to perform the following tasks:
Step Instructions Points Possible
1 Start Excel. Download and open the workbook named:
Descriptive_Numerical_Analysis_Start. 0
2 Obtain the descriptive statistics for sale prices for all homes in the dataset.
Adding Descriptive Statistics
Go to the Data worksheet. Select Data Analysis in the Analysis group of the Data tab of the Ribbon (note you should add this Add-in in case you do not have it in the Data tab already). Select Descriptive Statistics and click OK. Select the Price column as the Input Range. Choose Grouped by Columns. Check the ‘Labels in the first row’ box. Choose cell I1 on the Data worksheet as the output range. Check the ‘Summary statistics’ box. Do not check any additional boxes in the Descriptive Statistics menu.
In cell I16 on the Data worksheet, type Q1. In cell J16, calculate the value of the first quartile for the Price data set.
In cell I17 on the Data worksheet, type Q3. In cell J17, calculate the value of the third quartile for the Price data set.
In cells D7-D14 on the Problem worksheet, identify the values for the mean, standard deviation, minimum, first quartile, median, third quartile, maximum, and sample size. Round the monetary values to the nearest cent. 8
3 In cell D18, identify the range of sales prices. 1
4 In cell D19, calculate the size of the bins for 25 bins. 1
5 To construct the histogram, first create a column of ‘bins’ on the Data worksheet. Since the bin size is not a round number in thousands of dollars, choose the bin size to be 30,000. In cell K1 on the Data worksheet, type Binsize. In cell K2, type 30000, in cell K3, type 60000, and then drag the sequence down until you pass the most expensive selling price.
Now construct the histogram.
Inserting the Histogram
On the Data worksheet, select Data Analysis in the Analysis group of the Data tab of the Ribbon. Select Histogram and click OK. Select the Price column as the Input Range and the Binsize colu.
1. Descriptive_Numerical_Analysis_V3_Instructions.docx
Office 2016 – myitlab:grader – Instructions Excel Project
Descriptive Numerical Analysis V3
Project Description:
The present study investigates the distribution of sale prices for
homes in a region in upstate New York. This project will also
seek to compare the distributions of sale prices between homes
with central air and homes without central air. Suppose you are
being transferred to this area and are interested in getting a
good description of selling prices for homes in this region. The
variables collected in the data are: Price: Recorded in dollars;
Lot size: measured in acres; Living Area: measured in square
feet; Pct College: percent of students going to college; Central
Air: No – 0, Yes – 1; Bedrooms: Number of bedrooms;
Fireplace: Number of fireplaces; Bathrooms: Number of
bathrooms. For the purpose of this project, you will only be
using the variables Price and Central Air.
Instructions:
For the purpose of grading the project you are required to
perform the following tasks:
Step Instructions Points Possible
1 Start Excel. Download and open the workbook named:
Descriptive_Numerical_Analysis_Start. 0
2 Obtain the descriptive statistics for sale prices for all
homes in the dataset.
Adding Descriptive Statistics
Go to the Data worksheet. Select Data Analysis in the Analysis
group of the Data tab of the Ribbon (note you should add this
Add-in in case you do not have it in the Data tab already).
Select Descriptive Statistics and click OK. Select the Price
2. column as the Input Range. Choose Grouped by Columns. Check
the ‘Labels in the first row’ box. Choose cell I1 on the Data
worksheet as the output range. Check the ‘Summary statistics’
box. Do not check any additional boxes in the Descriptive
Statistics menu.
In cell I16 on the Data worksheet, type Q1. In cell J16,
calculate the value of the first quartile for the Price data set.
In cell I17 on the Data worksheet, type Q3. In cell J17,
calculate the value of the third quartile for the Price data set.
In cells D7-D14 on the Problem worksheet, identify the values
for the mean, standard deviation, minimum, first quartile,
median, third quartile, maximum, and sample size. Round the
monetary values to the nearest cent. 8
3 In cell D18, identify the range of sales prices. 1
4 In cell D19, calculate the size of the bins for 25 bins. 1
5 To construct the histogram, first create a column of ‘bins’
on the Data worksheet. Since the bin size is not a round number
in thousands of dollars, choose the bin size to be 30,000. In cell
K1 on the Data worksheet, type Binsize. In cell K2, type 30000,
in cell K3, type 60000, and then drag the sequence down until
you pass the most expensive selling price.
Now construct the histogram.
Inserting the Histogram
On the Data worksheet, select Data Analysis in the Analysis
group of the Data tab of the Ribbon. Select Histogram and click
OK. Select the Price column as the Input Range and the Binsize
column (starting on cell K1) as the Bin Range. Check the
‘Labels’ box. Choose cell M1 on the Data worksheet as the
output range. Check the ‘Chart Output’ box. Do not check any
additional boxes in the Descriptive Statistics menu.
Moving the Histogram
3. Select the Histogram. Then choose Move Chart in the Design
tab on the Ribbon. Select the Problem worksheet in the provided
drop-down menu. Drag the histogram on the Problem worksheet
and change its size so that it is located in cell C23.
Edit Chart Elements
Change the title of the histogram to Distribution of selling
prices. Right click on one of the bars and select ‘Format Data
Series’. Slide the ‘Gap Width’ to zero. 4
6 In cells F26-G26, choose how you would describe the
shape of the distribution from the drop-down menu. 1
7 In cells F27-G27, choose which measure of 'center' is best
to describe the distribution from the drop-down menu. 1
8 In cells F28-G28, choose how to compare the values of the
mean and the median from the drop-down menu. 1
9 In cells F29-G29, choose which measure of 'spread' is best
to describe the distribution from the drop-down menu. 1
10 In cell D34, calculate the percentage of homes rounded to
one decimal place whose prices are expected to exceed
$300,000 using the value(s) found in step 5.
Note: Using the Histogram tool, a value is included in a
particular bin if the number is greater than the lowest bound and
equal to or less than the greatest bound for the data bin. 1
11 In cell D36, calculate the percentage of homes rounded to
one decimal place that are priced between $90,000 and
$300,001, exclusive, using the value(s) found in step 5.
Note: Using the Histogram tool, a value is included in a
particular bin if the number is greater than the lowest bound and
equal to or less than the greatest bound for the data bin. 1
12 In cell D38, calculate the percentage of homes rounded to
one decimal place expected to be priced less than or equal to
$150,000 using the value(s) found in step 5.
Note: Using the Histogram tool, a value is included in a
4. particular bin if the number is greater than the lowest bound and
equal to or less than the greatest bound for the data bin. 1
13 Construct two histograms showing the distribution of
prices for homes without central air and the prices for homes
with central air.
First, create the two columns of data. On the Data worksheet,
copy the Price column to columns P and Q. In cell P1, type
Price without central air. In cell Q1, type Price with central air.
Then select the first row, go to the Home tab of the Ribbon, and
select Sort&Filter in the Editing group. Select Filter in the
drop-down menu. In cell E1, open the drop-down menu and
select to show only value 0. Delete all of the filtered values in
column Q. Then in cell E1 in the drop-down menu, select to
show only value 1. Delete all of the filtered values in column P.
Go back to cell E1 and select to show all values.
Construct the histogram using Data Analysis for the Price
without central air column using the Binsize column K (starting
on cell K1). Choose cell R1 on the Data worksheet as the output
range. Be sure to check the ‘Labels’ and ‘Chart Output’ boxes
in the Histogram menu. Move the histogram to the Problem
worksheet and place it in cells B42-C42. Change the title of the
histogram to Distribution of selling prices without central air.
Right click on one of the bars and select ‘Format Data Series’.
Slide the ‘Gap Width’ to zero.
Construct the histogram using Data Analysis for the Price with
central air column using the Binsize column K (starting on cell
K1). Choose cell T1 on the Data worksheet as the output range.
Be sure to check the ‘Labels’ and ‘Chart Output’ boxes in the
Histogram menu. Move the histogram to the Problem worksheet
and place it in cells D42-G42. Change the title of the histogram
to Distribution of selling prices with central air. Right click on
one of the bars and select ‘Format Data Series’. Slide the ‘Gap
Width’ to zero. 8
5. 14 Obtain the descriptive statistics for sale prices for homes
without central air. Go to the Data worksheet and use
Descriptive Statistics in Data Analysis for the Price without
central air column. Choose cell V1 on the Data worksheet as the
output range. Be sure to check the ‘Labels in the first row’ and
‘Summary statistics’ boxes.
In cell V16 on the Data worksheet, type Q1. In cell W16,
calculate the value of the first quartile for the Price without
central air data set.
In cell V17 on the Data worksheet, type Q3. In cell W17,
calculate the value of the third quartile for the Price without
central air data set.
In cells D45-D51 on the Problem worksheet, identify the values
for the minimum, first quartile, median, mean, third quartile,
maximum, and sample size. Round the monetary values to the
nearest cent. 7
15 Obtain the descriptive statistics for sale prices for homes
with central air. Go to the Data worksheet and use Descriptive
Statistics in Data Analysis for the Price with central air column.
Choose cell X1 on the Data worksheet as the output range. Be
sure to check the ‘Labels in the first row’ and ‘Summary
statistics’ boxes.
In cell X16 on the Data worksheet, type Q1. In cell Y16,
calculate the value of the first quartile for the Price with central
air data set.
In cell X17 on the Data worksheet, type Q3. In cell Y17,
calculate the value of the third quartile for the Price with
central air data set.
In cells E45-E51 on the Problem worksheet, identify the values
for the minimum, first quartile, median, mean, third quartile,
maximum, and sample size. Round the monetary values to the
nearest cent. 7
6. 16 In cells D55 and D56, compare the estimated sale prices of
homes with central air to homes without central air. Choose the
correct answers from the drop-down menus.
In cell E58, calculate the expected difference in median costs.
In cells D60, F60, D61, and F61, identify the variability of
prices using Q1 and Q3 for each data set. Use the descriptive
statistics in cells D45-E51. Keep the same number of decimal
places as the values in step14 and step15. 7
17 Save the workbook. Close the workbook and then exit
Excel. Submit the workbook as directed. 0
Total Points 50
Updated: 05/20/2018 1 Current_Instruction.docx
li_Descriptive_Numerical_Analysis_Start.xlsx
InstructionsDescriptive Numerical AnalysisProject Description:
The present study investigates the distribution of sale prices for
homes in a region in upstate New York. This project will also
seek to compare the distributions of sale prices between homes
with central air and homes without central air. Suppose you are
being transferred to this area and are interested in getting a
good description of selling prices for homes in this region. The
variables collected in the data are: Price: Recorded in dollars;
Lot size: measured in acres; Living Area: measured in square
feet; Pct College: percent of students going to college; Central
Air: No – 0, Yes – 1; Bedrooms: Number of bedrooms;
Fireplace: Number of fireplaces; Bathrooms: Number of
bathrooms. For the purpose of this project, you will only be
using the variables Price and Central Air.Instructions: Use a
cell reference or a single formula where appropriate in order to
receive full credit. Do not copy and paste values or type values,
as you will not receive full credit for your answers. For the
purpose of grading the project you are required to perform the
7. following tasks:StepInstructionsPoints Possible1Start Excel.
Download and open the workbook
named:0Descriptive_Numerical_Analysis_Start2Obtain the
descriptive statistics for sale prices for all homes in the
dataset.8Adding Descriptive StatisticsGo to the Data worksheet.
Select Data Analysis in the Analysis group of the Data tab of
the Ribbon (note you should add this Add-in in case you do not
have it in the Data tab already). Select Descriptive Statistics
and click OK. Select the Price column as the Input Range.
Choose Grouped by Columns. Check the ‘Labels in the first
row’ box. Choose cell I1 on the Data worksheet as the output
range. Check the ‘Summary statistics’ box. Do not check any
additional boxes in the Descriptive Statistics menu. In cell I16
on the Data worksheet, type Q1. In cell J16, calculate the value
of the first quartile for the Price data set.In cell I17 on the Data
worksheet, type Q3. In cell J17, calculate the value of the third
quartile for the Price data set.In cells D7-D14 on the Problem
worksheet, identify the values for the mean, standard deviation,
minimum, first quartile, median, third quartile, maximum, and
sample size. Round the monetary values to the nearest cent.3In
cell D18, identify the range of sales prices.14In cell D19,
calculate the size of the bins for 25 bins.15To construct the
histogram, first create a column of ‘bins’ on the Data
worksheet. Since the bin size is not a round number in
thousands of dollars, choose the bin size to be 30,000. In cell
K1 on the Data worksheet, type Binsize. In cell K2, type 30000,
in cell K3, type 60000, and then drag the sequence down until
you pass the most expensive selling price.4Now construct the
histogram.Inserting the HistogramOn the Data worksheet, select
Data Analysis in the Analysis group of the Data tab of the
Ribbon. Select Histogram and click OK. Select the Price column
as the Input Range and the Binsize column (starting on cell K1)
as the Bin Range. Check the ‘Labels’ box. Choose cell M1 on
the Data worksheet as the output range. Check the ‘Chart
Output’ box. Do not check any additional boxes in the
Descriptive Statistics menu.Moving the HistogramSelect the
8. Histogram. Then choose Move Chart in the Design tab on the
Ribbon. Select the Problem worksheet in the provided drop-
down menu. Drag the histogram on the Problem worksheet and
change its size so that it is located in cell C23.Edit Chart
ElementsChange the title of the histogram to Distribution of
selling prices. Right click on one of the bars and select ‘Format
Data Series’. Slide the ‘Gap Width’ to zero.6In cells F26-G26,
choose how you would describe the shape of the distribution
from the drop-down menu.17In cells F27-G27, choose which
measure of 'center' is best to describe the distribution from the
drop-down menu.18In cells F28-G28, choose how to compare
the values of the mean and the median from the drop-down
menu.19In cells F29-G29, choose which measure of 'spread' is
best to describe the distribution from the drop-down
menu.110In cell D34, calculate the percentage of homes
rounded to one decimal place whose prices are expected to
exceed $300,000 using the value(s) found in step 5.
Note: Using the Histogram tool, a value is included in a
particular bin if the number is greater than the lowest bound and
equal to or less than the greatest bound for the data bin.111In
cell D36, calculate the percentage of homes rounded to one
decimal place that are priced between $90,000 and $300,001,
exclusive, using the value(s) found in step 5.
Note: Using the Histogram tool, a value is included in a
particular bin if the number is greater than the lowest bound and
equal to or less than the greatest bound for the data bin.112In
cell D38, calculate the percentage of homes rounded to one
decimal place expected to be priced less than or equal to
$150,000 using the value(s) found in step 5.
Note: Using the Histogram tool, a value is included in a
particular bin if the number is greater than the lowest bound and
equal to or less than the greatest bound for the data
bin.113Construct two histograms showing the distribution of
9. prices for homes without central air and the prices for homes
with central air.8First, create the two columns of data. On the
Data worksheet, copy the Price column to columns P and Q. In
cell P1, type Price without central air. In cell Q1, type Price
with central air. Then select the first row, go to the Home tab of
the Ribbon, and select Sort&Filter in the Editing group. Select
Filter in the drop-down menu. In cell E1, open the drop-down
menu and select to show only value 0. Delete all of the filtered
values in column Q. Then in cell E1 in the drop-down menu,
select to show only value 1. Delete all of the filtered values in
column P. Go back to cell E1 and select to show all
values.Construct the histogram using Data Analysis for the
Price without central air column using the Binsize column K
(starting on cell K1). Choose cell R1 on the Data worksheet as
the output range. Be sure to check the ‘Labels’ and ‘Chart
Output’ boxes in the Histogram menu. Move the histogram to
the Problem worksheet and place it in cells B42-C42. Change
the title of the histogram to Distribution of selling prices
without central air. Right click on one of the bars and select
‘Format Data Series’. Slide the ‘Gap Width’ to zero.Construct
the histogram using Data Analysis for the Price with central air
column using the Binsize column K (starting on cell K1).
Choose cell T1 on the Data worksheet as the output range. Be
sure to check the ‘Labels’ and ‘Chart Output’ boxes in the
Histogram menu. Move the histogram to the Problem worksheet
and place it in cells D42-G42. Change the title of the histogram
to Distribution of selling prices with central air. Right click on
one of the bars and select ‘Format Data Series’. Slide the ‘Gap
Width’ to zero.14Obtain the descriptive statistics for sale prices
for homes without central air. Go to the Data worksheet and use
Descriptive Statistics in Data Analysis for the Price without
central air column. Choose cell V1 on the Data worksheet as the
output range. Be sure to check the ‘Labels in the first row’ and
‘Summary statistics’ boxes.7In cell V16 on the Data worksheet,
type Q1. In cell W16, calculate the value of the first quartile for
the Price without central air data set.In cell V17 on the Data
10. worksheet, type Q3. In cell W17, calculate the value of the third
quartile for the Price without central air data set.In cells E45-
E51 on the Problem worksheet, identify the values for the
minimum, first quartile, median, mean, third quartile,
maximum, and sample size. Round the monetary values to the
nearest cent.15Obtain the descriptive statistics for sale prices
for homes with central air. Go to the Data worksheet and use
Descriptive Statistics in Data Analysis for the Price with central
air column. Choose cell X1 on the Data worksheet as the output
range. Be sure to check the ‘Labels in the first row’ and
‘Summary statistics’ boxes.7In cell X16 on the Data worksheet,
type Q1. In cell Y16, calculate the value of the first quartile for
the Price with central air data set.In cell X17 on the Data
worksheet, type Q3. In cell Y17, calculate the value of the third
quartile for the Price with central air data set.In cells E45-E51
on the Problem worksheet, identify the values for the minimum,
first quartile, median, mean, third quartile, maximum, and
sample size. Round the monetary values to the nearest cent.16In
cells D55 and D56, compare the estimated sale prices of homes
with central air to homes without central air. Choose the correct
answers from the drop-down menus. 7In cell E58, calculate the
expected difference in median costs. In cells D60, F60, D61,
and F61, identify the variability of prices using Q1 and Q3 for
each data set. Use the descriptive statistics in cells D45-E51.
Keep the same number of decimal places as the values in step14
and step15.17Save the workbook. Close the workbook and then
exit Excel. Submit the workbook as directed.0Total Score50
ProblemProblem Housing DataThe present study investigates
the distribution of sale prices for homes in a region in upstate
New York and to compare the distributions of sale prices
between homes with central air and homes without central air.
Suppose you are being transferred to this area and are interested
in getting a good description of selling prices for homes there.
Use a cell reference or a single formula where appropriate in
order to receive full credit. Do not copy and paste values or
11. type values, as you will not receive full credit for your answers.
1-2)Obtain the descriptive statistics for sale prices for all homes
in the dataset. Provide the values below:Identify the mean sale
price to the nearest cent in cell D7.Identify the standard
deviation of the sale prices to the nearest cent in D8.Identify the
minimum sale price to the nearest cent in cell D9.Identify the
first quartile sale price to the nearest cent in cell D10.Identify
the median sale price to the nearest cent in cell D11.Identify the
third quartile sale price to the nearest cent in cell D12.Identify
the maximum sale price to the nearest cent in cell D13.Identify
the sample size in cell D14.To begin to construct the histogram
of sale prices, we need to determine our bins. These are the
upper limits to the size of the bars on the x-axis. We do this by
calculating the range of the prices, and dividing by the number
of bars we want in our histogram. Since we have a large sample
size, let us choose to have about 25 bins.3)Identify the range of
sale prices in cell D18.4)Calculate the size of the bins for 25
bins in cell D19.5)Construct the histogram using the bins
calculated. Follow the directions in step5 in the instructions
document. Insert the histogram in cell C23.Describe the
distribution of housing prices of homes in upstate New
York.6)In cells F26-G26, choose how you would describe the
shape of the distribution from the drop-down menu.7)In cells
F27-G27, choose which measure of 'center' is best to describe
the distribution from the drop-down menu.8)In cells F28-G28,
choose how to compare the values of the mean and the median
from the drop-down menu.9)In cells F29-G29, choose which
measure of 'spread' is best to describe the distribution from the
drop-down menu.Use the histogram (or the grouped frequency
distribution) to answer the following.10)In cell D34, calculate
the percentage of homes rounded to one decimal place whose
prices are expected to exceed $300,000 using the value(s) found
in step 5.11)In cell D36, calculate the percentage of homes
rounded to one decimal place that are priced between $90,000
and $300,001, exclusive, using the value(s) found in step
5.12)In cell D38, calculate the percentage of homes rounded to
12. one decimal place expected to be priced less than or equal to
$150,000 using the value(s) found in step 5.13)Suppose you are
looking at two houses in the same neighborhood that are about
the same size except one of the homes has central air and the
other one does not. Compare the distributions for homes with
central air and homes without central air. Find the five-number-
summary measures for homes with central air and for homes
without central air.Using the same bins you used in question 3),
construct separate histograms for the sale prices for homes
without central air and the sale prices for homes with central
air. Title each histogram so that they are labeled appropriately
by central air status. Insert the two histograms in cells B42-
G42.14-15)Obtain the descriptive statistics for sale prices for
homes without central air and with central air in the dataset.
Provide the values below. Round the monetary values to the
nearest cent.Without Central AirWith Central AirMinimum sale
price, in cells D45 and E45Q1, in cells D46 and E46Median, in
cells D47 and E47Mean, in cells D48 and E48Q3, in cells D49
and E49Maximum, in cells D50 and E50n, sample size, in cells
D51 and E5116)Write a brief summary statement comparing the
sale prices of homes with and without central air using the
medians and the interquartile ranges as a general range of prices
one would expect to pay for 'typical' homes in this region of
upstate New York using the statements provided below.
In cells D55 and D56, compare the estimated sale prices of
homes with central air to homes without central air. Choose the
correct answers from the drop-down menus.Homes with central
air generally sell for prices than homes without central air.This
is indicated by comparing the home prices between homes with
and without central air. Calculate the expected difference in
median costs in cell E58. Keep the same number of decimal
places as the values in step14 and step15.Given this data, one
would estimate that homes with central air can be expected to
cost aboutmore than homes without central air.Identify the
variability of prices using Q1 and Q3 for each data set in cells
D60, F60, D61, and F61. Keep the same number of decimal
13. places as the values in step14 and step15.The variability of
prices for the typical home without central air ranges from
abouttoas compared to to for homes with central air.
DataPriceLot SizeLiving AreaPct CollegeCentral
AirBedroomsFireplacesBathrooms1325000.09906350211181115
0.921953510302.51090000.1919445104111550000.4119445103
11.5860600.118405112011200000.6811522204111530000.4275
2510411.51700001.211662350411.5900000.831632510301.5122
9001.941416440301.53250002.2928945107011200000.9216245
10302858608.97704410201970000.1113835703021270000.1413
00410301.58990009365703011550000.131300410301.52537502
2816711412.5600000.21924350201875000.88109235030111200
0110563503011049000.431600390301.51486350.321576391302
.51500000.032080390302904000.361600390301.524880042224
3904031350001.83165639030114500031170390401.54570000.4
324613904121400000.441544711311.51300001.2412207102211
870000.461858520312.52290000.8722196403122270001.81876
520302.51799000.462026520412.51699000.9116717114132099
000.462060520412.51699000.591884520412.52930007.2420227
104232459000.192394711412.51570000.461390710311.519500
00.411954711402.51500000.781554711311.52349000.89197664
1302.52795501.342479710412.524650012714710412.51240001
7975202011380000.271500710302.52900000.711838710402108
0000.910427102121349000.241782521302.5645000.061480520
212.51420000.5514265203121250000.341404520302880000.19
1480521311.51350000.231344520301900000.071480521212.59
01000.091480520311.51269000.251596520302.51750000.47176
85203121580000.361348521212920000.071480520311.5828000
.1114835203011400000.231576521411.51710003.16100852020
12006400.082332520402.51390000.5710645203112250000.524
28521412.5182000113105203122087670.516625213021860000.
552000520402.5930000.11480520311.52573860.529695214141
610000.311542521302.5920000.2815275204022110020.062195
520402.51150000.061480520311.51130000.4614525213022163
000.12360520402.51450002.1214405203111140000.061480520
212.51390500.211879520302.51040000.061480520301.5169900
32. purpose of this project is to describe graphically and
numerically a categorical relationship and to understand the
difference among joint, marginal, and conditional probabilities.
Use this summary analysis to help you determine whether the
choice of a student's political party is independent or dependent
of whether the student is registered to vote or not.
Instructions:
For the purpose of grading the project you are required to
perform the following tasks:
Step Instructions Points Possible
1 Start Excel. Download and open the workbook named:
Describing_a_Categorical_Relationship_Start.0
2 In cells C8-F13, insert a pivot table putting political party
affiliation on the rows and values areas and registered to vote
on the columns area.
Insert PivotTable
Go to the
Voting Data worksheet. Select the PivotTable in the Tables
group of the Insert tab of the Ribbon.
Selecting Data Series
Choose Select a table or range and select columns
A-F on the Voting Data worksheet. Select Existing Worksheet
and choose cell H2 on the Voting Data worksheet as the
location for the pivot table. Do not check any additional boxes
in the Create PivotTable dialog.
Edit PivotTable
In the PivotTable Fields list, drag-and-drop the Registered field
into the columns area and Party field into the rows and values
areas. In the Fields list, open the drop-down menu to the right
of the Regis
tered field and uncheck the (blank) box. Then open the drop-
down menu for the Party field and uncheck the (blank) box.
Select design Pivot Style Light 20 in the PivotTable Styles
group of the Design tab of the Ribbon. Set Times New Roman,
size 14 pt. font to the text in the pivot table in the Home tab of
33. the Ribbon. Change the name of the pivot table to Table1 in the
PivotTable group of the Analyze tab on the Ribbon.
Moving PivotTable
Select the pivot table. Then choose Move PivotTable in the
Actions group
of the Analyze tab on the Ribbon. In the Move PivotTable
dialog, select cells C8-F13 on the Problem worksheet.
Note: Filters should be set to both the Registered and Party
fields. Other options will not be graded. 2
3 In cells C17-F22, insert a pivot table putting political party
affiliation on the rows and values areas and registered to vote
on the columns area and showing the values as ‘% of Grand
Total’.
Insert PivotTable
Go to the
Voting Data worksheet. Select the PivotTable in the Tables
group of the Insert tab of the Ribbon.
Selecting Data Series
Choose Select a table or range and select columns
A-F on the Voting Data worksheet. Select Existing Worksheet
and choose cell H9 on the Voting Data worksheet as the
location for the pivot table. Do not check any additional boxes
in the Create PivotTable dialog.
Edit PivotTable
In the PivotTable Fields list, drag-and-drop the Registered field
into the columns area and Party field into the rows and values
areas. In the Fields list, open the drop-down
menu to the right of the Registered field and uncheck the
(blank) box. Then open the drop-down menu for the Party field
and uncheck the (blank) box. In the Values area, open the drop-
down list to the right of the field name and select the Value
Field Settings option. Choose % of Grand Total in the Show
Values As tab. Click on Number Format button and set
percentage format that displays two decimal places. Select
design Pivot Style Light 20 in the PivotTable Styles group of
34. the Design tab of the Ribbon. Set to the text in the pivot table
Times New Roman, size 14 pt. font in the Home tab of the
Ribbon. Change the name of the pivot table to Table2 in the
PivotTable group of the Analyze tab on the Ribbon.
Moving PivotTable
Select the pivot table. Then choose M
ove PivotTable in the Actions group of the Analyze tab on the
Ribbon. In the Move PivotTable dialog, select cells C17-F22 on
the Problem worksheet.
Note: Filters should be set to both the Registered and Party
fields. Other options will not be graded. 2
4 In cells C26-F31, insert a pivot table putting political party
affiliation on the rows and values areas and registered to vote
on the columns area and showing the values as ‘% of Row
Total’. Use columns A-F on the Voting Data worksheet. Choose
cell H16 on the Voting Data worksheet as the location for the
pivot table. In the PivotTable Fields list, drag-and-drop the
Registered and Party fields into appropriate areas. Select to
show all values except the blanks for the Registered and Party
fields. Choose % of Row Total and set percentage format that
displays two decimal places in the Show Values As tab of the
Value Field Settings. Select design Pivot Style Light 20. Set to
the text in the pivot table Times New Roman, size 14 pt. font.
Change the name of the pivot table to Table3. Move the pivot
table in cells C26-F31 on the Problem worksheet.
Note: Filters should be set to both the Registered and Party
fields. Other options will not be graded. 2
5 In cell J35, identify the probability that the business
student is a registered voter. 1
6 In cell J36, choose the type of probability in step 5) from
the drop-down menu. 1
7 In cell J37, identify the probability that the business
student is registered and a Republican. 1
8 In cell J38, choose the type of probability in step 7) from
35. the drop-down menu. 1
9 In cell J39, identify the probability that the business
student is registered to vote given they are Republicans. 1
10 In cell J40, choose the type of probability in step 9) from
the drop-down menu. 1
11 In cell J41, identify the probability that the business
student is registered to vote if they are a Democrat.1
12 In cell J43, identify the probability that the business
student is not registered to vote and not affiliated with either
the Democratic or the Republican party. 1
13 In cells C47-G47 insert a Clustered Column Chart to show
the distribution of the registered (Yes/No) across the three
political parties.
Inserting Chart
Select the Column Chart and then the Clustered Column Chart
from the provided chart options in the Charts group of the Insert
tab of the Ribbon.
Selecting Data Series
Choose Select Data in the Design t
ab on the Ribbon. Delete any series created automatically using
the Remove button and add new series using Add button. Add a
new series for the distribution of those not registered to vote
across the three political parties using cells
D28-D30 as the Series values. Use cell D27 to set the series
name.Add new series for the distribution of the registered to
vote across the three political parties using cells
E28-E30 as the Series values. Use cell E27 to set the series
name.Edit Category Labels using cells
C28-C30 as the Axis label range.
Edit Chart Elements
Select design Style 1 in the Design tab of the Ribbon. Then go
to the Add Chart Elements drop-down list. Add the legend and
choose the Right option. Add the data labels and choose the
Outside End opti
on.
36. Chart Size and Position
Go to the Format tab on the Ribbon. Set the chart height and
width so the entire chart fits within cells
C47-G47. 2
14 In cells C51-G51 insert a Stacked Column Chart to show
the distribution of the registered Yes/No across the three
political parties.
Inserting Chart
Select the Column Chart and then the Stacked Column Chart
from the provided chart options in the Charts group of the Inser
t tab of the Ribbon.
Selecting Data Series
Choose Select Data in the Design tab on the Ribbon. Delete any
series created automatically using the Remove button and add
new series using Add button.
Add a new series for the distribution of those not registe
red to vote across the three political parties using cells D28-
D30 as the Series values. Use cell D27 to set the series
name.Add new series for the distribution of the registered to
vote across the three political parties using cells
E28-E30 as the Series values. Use cell E27 to set the series
name.Edit Category Labels using cells
C28-C30 as the Axis label range.
Edit Chart ElementsSelect design Style 1 in the Design tab of
the Ribbon. Then go to the Add Chart Elements drop-down list.
Add the legend an
d choose the Right option. Add the data labels and choose the
Center option.
Chart Size and Position
Go to the Format tab on the Ribbon. Set the chart height and
width so the entire chart fits within cells
C51-G51. 2
15 In cell C60, based on steps 13-14, identify whether the
distribution of being registered to vote or not appears to differ
between the three party affiliations. Choose from the drop-down
37. menu the letter from A to D corresponding to one of the options
listed in cells C55-I58. 1
16 Identify whether the analysis supports that being registered
to vote is independent of party affiliation. Choose the correct
answer from the drop-down menu in cell C64. 1
17 Save the workbook. Close the workbook and then exit
Excel. Submit the workbook as directed. 0
Total Points 20
Updated: 05/20/2018 1 Current_Instruction.docx
li_Describing_a_Categorical_Relationship_Start.xlsx
InstructionsDescribing a Categorical RelationshipProject
Description: Data was collected from several classes of
Business students enrolled in a private religious affiliated
university during the fall semester of the 2016 presidential
election year. The variables collected included: 1) Sex -
Female/Male; 2) HS - Private/Public; 3) Party -
Democrat/Republican/Other (includes Independent, Libertarian,
and Green); 4) Registered - Yes/No; 5) Likely Vote - 0-100%.
For the purpose of this project, you will only be using the
variables, Party and Registered. The purpose of this project is to
describe graphically and numerically a categorical relationship
and to understand the difference among joint, marginal, and
conditional probabilities. Use this summary analysis to help you
determine whether the choice of a student's political party is
independent or dependent of whether the student is registered to
vote or not.Instructions: Use a cell reference or a single formula
where appropriate in order to receive full credit. Do not copy
and paste values or type values, as you will not receive full
credit for your answers. For the purpose of grading the project
you are required to perform the following
tasks:StepInstructionsPoints Possible1Start Excel. Download
and open the workbook
38. named:0Describing_a_Categorical_Relationship_Start.2In cells
C8-F13, insert a pivot table putting political party affiliation on
the rows and values areas and registered to vote on the columns
area.2Insert PivotTableGo to the Voting Data worksheet. Select
the PivotTable in the Tables group of the Insert tab of the
Ribbon. Selecting Data SeriesChoose Select a table or range and
select columns A-F on the Voting Data worksheet. Select
Existing Worksheet and choose cell H2 on the Voting Data
worksheet as the location for the pivot table. Do not check any
additional boxes in the Create PivotTable dialog. Edit
PivotTable In the PivotTable Fields list, drag-and-drop the
Registered field into the columns area and Party field into the
rows and values areas. In the Fields list, open the drop-down
menu to the right of the Registered field and uncheck the
(blank) box. Then open the drop-down menu for the Party field
and uncheck the (blank) box. Select design Pivot Style Light 20
in the PivotTable Styles group of the Design tab of the Ribbon.
Set Times New Roman, size 14 pt. font to the text in the pivot
table in the Home tab of the Ribbon. Change the name of the
pivot table to Table1 in the PivotTable group of the Analyze tab
on the Ribbon.Moving PivotTableSelect the pivot table. Then
choose Move PivotTable in the Actions group of the Analyze
tab on the Ribbon. In the Move PivotTable dialog, select cells
C8-F13 on the Problem worksheet. Note: Filters should be set to
both the Registered and Party fields. Other options will not be
graded. 3In cells C17-F22, insert a pivot table putting political
party affiliation on the rows and values areas and registered to
vote on the columns area and showing the values as ‘% of Grand
Total’.2Insert PivotTableGo to the Voting Data worksheet.
Select the PivotTable in the Tables group of the Insert tab of the
Ribbon. Selecting Data SeriesChoose Select a table or range and
select columns A-F on the Voting Data worksheet. Select
Existing Worksheet and choose cell H9 on the Voting Data
worksheet as the location for the pivot table. Do not check any
additional boxes in the Create PivotTable dialog. Edit
PivotTable In the PivotTable Fields list, drag-and-drop the
39. Registered field into the columns area and Party field into the
rows and values areas. In the Fields list, open the drop-down
menu to the right of the Registered field and uncheck the
(blank) box. Then open the drop-down menu for the Party field
and uncheck the (blank) box. In the Values area, open the drop-
down list to the right of the field name and select the Value
Field Settings option. Choose % of Grand Total in the Show
Values As tab. Click on Number Format button and set
percentage format that displays two decimal places. Select
design Pivot Style Light 20 in the PivotTable Styles group of
the Design tab of the Ribbon. Set to the text in the pivot table
Times New Roman, size 14 pt. font in the Home tab of the
Ribbon. Change the name of the pivot table to Table2 in the
PivotTable group of the Analyze tab on the Ribbon.Moving
PivotTableSelect the pivot table. Then choose Move PivotTable
in the Actions group of the Analyze tab on the Ribbon. In the
Move PivotTable dialog, select cells C17-F22 on the Problem
worksheet. Note: Filters should be set to both the Registered
and Party fields. Other options will not be graded. 4In cells
C26-F31, insert a pivot table putting political party affiliation
on the rows and values areas and registered to vote on the
columns area and showing the values as ‘% of Row Total’. Use
columns A-F on the Voting Data worksheet. Choose cell H16 on
the Voting Data worksheet as the location for the pivot table. In
the PivotTable Fields list, drag-and-drop the Registered and
Party fields into appropriate areas. Select to show all values
except the blanks for the Registered and Party fields. Choose %
of Row Total and set percentage format that displays two
decimal places in the Show Values As tab of the Value Field
Settings. Select design Pivot Style Light 20. Set to the text in
the pivot table Times New Roman, size 14 pt. font. Change the
name of the pivot table to Table3. Move the pivot table in cells
C26-F31 on the Problem worksheet.
Note: Filters should be set to both the Registered and Party
fields. Other options will not be graded. 25In cell J35, identify
40. the probability that the business student is a registered
voter.16In cell J36, choose the type of probability in step 5)
from the drop-down menu.17In cell J37, identify the probability
that the business student is registered and a Republican.18In
cell J38, choose the type of probability in step 7) from the drop-
down menu.19In cell J39, identify the probability that the
business student is registered to vote given they are
Republicans.110In cell J40, choose the type of probability in
step 9) from the drop-down menu.111In cell J41, identify the
probability that the business student is registered to vote if they
are a Democrat.112In cell J43, identify the probability that the
business student is not registered to vote and not affiliated with
either the Democratic or the Republican party.113In cells C47-
G47 insert a Clustered Column Chart to show the distribution of
the registered (Yes/No) across the three political
parties.2Inserting ChartSelect the Column Chart and then the
Clustered Column Chart from the provided chart options in the
Charts group of the Insert tab of the Ribbon.Selecting Data
SeriesChoose Select Data in the Design tab on the Ribbon.
Delete any series created automatically using the Remove
button and add new series using Add button.Add a new series
for the distribution of those not registered to vote across the
three political parties using cells D28-D30 as the Series values.
Use cell D27 to set the series name.Add new series for the
distribution of the registered to vote across the three political
parties using cells E28-E30 as the Series values. Use cell E27 to
set the series name.Edit Category Labels using cells C28-C30 as
the Axis label range. Edit Chart ElementsSelect design Style 1
in the Design tab of the Ribbon. Then go to the Add Chart
Elements drop-down list. Add the legend and choose the Right
option. Add the data labels and choose the Outside End
option.Chart Size and PositionGo to the Format tab on the
Ribbon. Set the chart height and width so the entire chart fits
within cells C47-G47.14In cells C51-G51 insert a Stacked
Column Chart to show the distribution of the registered Yes/No
across the three political parties.2Inserting ChartSelect the
41. Column Chart and then the Stacked Column Chart from the
provided chart options in the Charts group of the Insert tab of
the Ribbon.Selecting Data SeriesChoose Select Data in the
Design tab on the Ribbon. Delete any series created
automatically using the Remove button and add new series
using Add button.Add a new series for the distribution of those
not registered to vote across the three political parties using
cells D28-D30 as the Series values. Use cell D27 to set the
series name.Add new series for the distribution of the registered
to vote across the three political parties using cells E28-E30 as
the Series values. Use cell E27 to set the series name.Edit
Category Labels using cells C28-C30 as the Axis label
range.Edit Chart ElementsSelect design Style 1 in the Design
tab of the Ribbon. Then go to the Add Chart Elements drop-
down list. Add the legend and choose the Right option. Add the
data labels and choose the Center option.Chart Size and
PositionGo to the Format tab on the Ribbon. Set the chart height
and width so the entire chart fits within cells C51-G51.15In cell
C60, based on steps 13-14, identify whether the distribution of
being registered to vote or not appears to differ between the
three party affiliations. Choose from the drop-down menu the
letter from A to D corresponding to one of the options listed in
cells C55-I58.116Identify whether the analysis supports that
being registered to vote is independent of party affiliation.
Choose the correct answer from the drop-down menu in cell
C64. 117Save the workbook. Close the workbook and then exit
Excel. Submit the workbook as directed.0Total Score20
ProblemDescribing a Categorical RelationshipUse the data
collected from business students at a private religious affiliated
University in the fall of the 2016 presidential election year to
determine whether the choice of a student's political party is
independent of being registered to vote during the fall semester
of a presidential election. In order to determine independence, it
is important to understand the difference between joint and
conditional probabilities, how to obtain these probability
distributions and how to interpret these results visually using
42. appropriate bar charts.
Use a cell reference or a single formula where appropriate in
order to receive full credit. Do not copy and paste values or
type values, as you will not receive full credit for your answers.
1-2)Construct a pivot table putting political party affiliation on
the rows and values areas and registered to vote on the columns
area. Remove the blanks from Party and Registered fields.
Follow the directions in steps 1-2 in the instructions document.
Insert the pivot table in cells C8-C13.3)Construct a pivot table
putting political party affiliation on the rows and values areas
and registered to vote on the columns area. Show the values as
'% of Grand Total'. Remove the blanks from Party and
Registered fields. Follow the directions in step 3 in the
instructions document. Insert the pivot table in cells C17-
F22.4)Construct a pivot table putting political party affiliation
on the rows and values areas and registered to vote on the
columns area. Show the values as '% of Row Total'. Remove the
blanks from Party and Registered fields. Follow the directions
in step 4 in the instructions document. Insert the pivot table in
cells C26-F31.Given this is a representative sample of business
students at a religious affiliated university, if one randomly
selects a business student attending a religious affiliated
university, calculate the following probabilities and identify
their types.5)In cell J35, identify the probability that the
business student is a registered voter.6)In cell J36, choose the
type of probability in step 5) from the drop-down menu.7)In cell
J37, identify the probability that the business student is
registered and a Republican.8)In cell J38, choose the type of
probability in step 7) from the drop-down menu.9)In cell J39,
identify the probability that the business student is registered to
vote given they are Republicans.10)In cell J40, choose the type
of probability in step 9) from the drop-down menu.11)In cell
J41, identify the probability that the business student is
registered to vote if they are a Democrat.12)In cell J43, identify
the probability that the business student is not registered to vote
43. and not affiliated with eitherthe Democratic or the Republican
party.13)Construct a clustered column chart to visually show
the distribution of registered (Yes/No) across the three political
parties. Follow the directions in step 13 in the instructions
document. Insert the chart in cells C47-G47.14)Construct a
stacked column chart to visually show the distribution of
registered (Yes/No) across the three political parties. Follow the
directions in step 14 in the instructions document. Insert the
chart in cells C51-G51. 15)In cell C60, based on steps 13-14,
identify whether the distribution of being registered to vote or
not appears to differ between the three party affiliations.
Choose from the drop-down menu the letter from A to D
corresponding to one of the options listed in cells C55-
I58.AYes, because the majority of students in both the
Democrat and Republican parties are registered to vote, while
the majority of students in the 'Other' parties are not registered
to vote.BYes, because the distribution of Yes/No changes
considerably for each party observed.CNo, because the 'Other'
party is about equally split between registered and not
registered.DNo, because the distributions of registered Yes/No
are similar between the Democrats and the Republicans.16-
17)Identify whether the analysis supports that being registered
to vote is independent of party affiliation. Choose the correct
answer from the drop-down menu in cell C64.
Voting
DataSexHSJobRegisteredPartyLikelyVoteFemalePublicIncomeY
esRepublican90FemalePrivateJob
satisfactionNoRepublican75FemalePrivateJob
satisfactionYesRepublican90FemalePublicJob
satisfactionYesDemocrat40MalePublicIncomeNoOther0MalePri
vateJob satisfactionYesDemocrat99FemalePublicJob
satisfactionYesRepublican75FemalePublicIncomeYesDemocrat7
5FemalePublicJob
satisfactionYesRepublican50FemalePublicIncomeYesRepublica
n90MalePrivateJob satisfactionNoOther50MalePublicJob
satisfactionYesRepublican78MalePrivateJob
47. Project Description:
The present study shows data for sales of different sports
equipment in 2017 in a sports supplies store. The sales are
provided per month. We will identify the type of data for
different variables and their measurement levels. We will
analyze the data numerically using measures of central tendency
(mean, median, minimum and maximum) and variability (range,
interquartile range, standard deviation and variance). We will
construct a frequency table and investigate the relationship
between variables by analyzing the correlation. We will also
represent the data graphically by using line charts and pie
charts.
Instructions:
For the purpose of grading the project you are required to
perform the following tasks:
Step Instructions Points Possible
1 Use a cell reference or a single formula where appropriate
in order to receive full credit. Do not copy and paste values or
type values, as you will not receive full credit for your answers.
Start Excel. Download and open the workbook named:
Describing Data Graphically and Numerically Start 0
2 In merged cells D11-E11, select the data type of
"Equipment ID". 3
3 In merged cells D12-E12, select the data type of "sales for
each month”. 3
4 In merged cells D13-E13, select the data type of
"Equipment". 3
5 In cells O3 through O8, find the total sales for each
equipment.
Hint: Highlight the range C3:N8 and click the Quick Analysis
Button that appears on the lower right corner then click on the
totals tab and use the second Sum function.
48. 7
6 In cells C9 through N9, find the total sales for each month.
In cell O9, find the total sales for the year.
Hint: Use the sum shortcut; click on cell C9 and then on your
keyboard press ALT then press =.
6
7 In cells P3 through P9, insert Sparklines.
Hint: Click on cell P3, go to Insert Sparklines Line. Use the
data range C3:N3.
7
8 In cell D17, choose the correct conclusion from the
dropdown menu based on the line in cell P9. 3
9 In cell D18, find the average sales per month in 2017. 4
10 In cell D19, find the median sales per month in 2017. 4
11 In merged cells D20-E20, choose the correct answer from
the dropdown menu based on the answers in cells D18 and D19.
4
12 In cell D21, find the minimum sales per month in 2017. 3
13 In cell D22, find the maximum sales per month in 2017. 3
14 In cell D23, find the range of sales per month in 2017. 4
49. 15 In cells D24 and D25, find Q1 and Q3, respectively, for
the sales per month in 2017. 4
16 In cell D26, find the interquartile range per month in 2017.
3
17 In cells D27 through D31, find the five-number summary
for the sales per month in 2017. 5
18 In cell D32, find the standard deviation in sales per month
in 2017. 3
19 In cell D33, find the variance in sales per month in 2017.
3
20 In cell F35 through F40, construct a frequency table for
the total sales in 2017 for each piece of equipment. 6
21 In merged cells E41-F41, find the correlation between
"Balls" sales and "Goals" sales. 3
22 In merged cells E42-F42, find the correlation between
"Nets" sales and "Rods and tackles" sales. 3
23 In merged cells D43-F43, choose the correct answer from
the dropdown menu based on the correlation values. 3
24 In merged cells D44-H44, choose the correct answer from
the dropdown menu based on the correlation values. 3
25 Insert a recommended line chart using the range A2
through N8. Change the chart title to "Monthly Sales per
Equipment". Resize the chart to fit in the range A46 through
G56.
Hint: Highlight the range A2:A8 then press control and
highlight C2:N8 then go to the Insert tab and click
recommended chart and then line chart.
5
26 Insert a 3D pie chart using the range A2:A8 and O2:O8.
Remove the legend and display the data labels in the center
50. showing the category name and percentage. Add a chart title
“Total Sales in 2017”. Resize the chart to fit in the range A58
through G68. 5
27 Save your file and submit for grading. 0
Total Points 100
Updated: 05/20/2018 1 Current_Instruction.docx
li_Describing_Data_Graphically_and_Numerically_Start.xlsx
InstructionsDescribing Data Graphically and
NumericallyProject Description: The present study shows data
for sales of different sports equipment in 2017 in a sports
supplies store. The sales are provided per month. We will
identify the type of data for different variables and their
measurement levels. We will analyze the data numerically using
measures of central tendency (mean, median, minimum and
maximum) and variability (range, interquartile range, standard
deviation and variance). We will construct a frequency table
and investigate the relationship between variables by analyzing
the correlation. We will also represent the data graphically by
using line charts and pie charts.Instructions: Use a cell
reference or a single formula where appropriate in order to
receive full credit. Do not copy and paste values or type values,
as you will not receive full credit for your answers. For the
purpose of grading the project, you are required to perform the
following tasks: StepInstructionsPointsPossible 1 Start Excel.
Download and open the workbook named:0Describing Data
Graphically and Numerically Start2 In merged cells D11-E11,
select the data type of "Equipment ID".33 In merged cells
D12-E12, select the data type of "sales for each month”.34 In
merged cells D13-E13, select the data type of "Equipment".35
In cells O3 through O8, find the total sales for each
equipment.7Hint: Highlight the range C3:N8 and click the
Quick Analysis Button that appears on the lower right corner
51. then click on the totals tab and use the second Sum function.6
In cells C9 through N9, find the total sales for each month. In
cell O9, find the total sales for the year.6Hint: Use the sum
shortcut; click on cell C9 and then on your keyboard press ALT
then press =. 7 In cells P3 through P9, insert Sparklines.7Hint:
Click on cell P3, go to Insert à Sparklines à Line. Use the data
range C3:N3.8 In cell D17, choose the correct conclusion from
the dropdown menu based on the line in cell P9.39 In cell D18,
find the average sales per month in 2017.410 In cell D19, find
the median sales per month in 2017.411 In merged cells D20-
E20, choose the correct answer from the dropdown menu based
on the answers in cells D18 and D19.412 In cell D21, find the
minimum sales per month in 2017.313 In cell D22, find the
maximum sales per month in 2017.314 In cell D23, find the
range of sales per month in 2017.415 In cells D24 and D25,
find Q1 and Q3, respectively, for the sales per month in
2017.416 In cell D26, find the interquartile range per month
in 2017.317 In cells D27 through D31, find the five-number
summary for the sales per month in 2017.518 In cell D32, find
the standard deviation in sales per month in 2017.319 In cell
D33, find the variance in sales per month in 2017.320 In cell
F35 through F40, construct a frequency table for the total sales
in 2017 for each piece of equipment.621 In merged cells E41-
F41, find the correlation between "Balls" sales and "Goals"
sales.322 In merged cells E42-F42, find the correlation
between "Nets" sales and "Rods and tackle" sales.323 In
merged cells D43-F43, choose the correct answer from the
dropdown menu based on the correlation values.324 In
merged cells D44-H44, choose the correct answer from the
dropdown menu based on the correlation values.325 Insert a
recommended line chart using the range A2 through N8. Change
the chart title to "Monthly Sales per Equipment". Resize the
chart to fit in the range A46 through G56.5Hint: Highlight the
range A2:A8 then press control and highlight C2:N8 then go to
the Insert tab and click recommended chart and then line
chart.26 Insert a 3D pie chart using the range A2:A8 and
52. O2:O8. Remove the legend and display the data labels in the
center showing the category name and percentage. Add a chart
title “Total Sales in 2017”. Resize the chart to fit in the range
A58 through G68.527 Save your file and submit for
grading.0Total Score100
Sales DataSports Equipments Sales in
2017EquipmentEquipment
IDJanuaryFebruaryMarchAprilMayJuneJulyAugustSeptemberOc
toberNovemberDecemberTotalTrendBalls1119$ 1,741$
1,926$ 1,812$ 1,849$ 2,208$ 1,799$ 1,819$ 2,112$
1,829$ 2,514$ 2,023$ 2,484Goals1214$ 1,286$ 1,583$
1,711$ 1,574$ 1,687$ 1,523$ 1,573$ 1,424$ 1,669$
1,536$ 1,632$ 2,159Nets1182$ 1,263$ 1,368$ 1,479$
1,357$ 1,671$ 1,276$ 1,493$ 1,678$ 1,157$ 1,507$
1,529$ 1,615Racquets1205$ 1,046$ 1,693$ 1,938$
1,670$ 1,895$ 1,776$ 1,608$ 1,711$ 1,856$ 1,671$
1,907$ 1,994Rods and tackle1206$ 886$ 1,214$ 1,394$
1,174$ 1,412$ 1,291$ 1,325$ 1,373$ 1,255$ 1,448$
1,423$ 1,534Sticks, bats and clubs1195$ 1,772$ 1,761$
1,773$ 1,927$ 1,706$ 2,290$ 2,160$ 2,556$ 2,496$
2,161$ 2,403$ 2,592TotalUse a cell reference or a single
formula where appropriate in order to receive full credit. Do not
copy and paste values or type values, as you will not receive
full credit for your answers. 1-2. In merged cells D11-E11,
select the data type of "Equipment ID".3. In merged cells D12-
E12, select the data type of "sales for each month”.4. In merged
cells D13-E13, select the data type of "Equipment".5. In cells
O3 through O8 in the table above, find the total sales for each
equipment.6. In cells C9 through N9 in the table above, find the
total sales for each month. In cell O9 in the table above, find
the total sales for the year.7. In cells P3 through P9 in the table
above, insert Sparklines.8. In merged cells D17-E17, is there
any trend in the data based on the line in cell P9?9. In cell D18,
find the average sales per month in 2017.10. In cell D19, find
the median sales per month in 2017.11. In merged cells D20-
E20, select the shape of the data based on the answers in cells
53. D18 and D19.12. In cell D21, find the minimum sales per month
in 2017.13. In cell D22, find the maximum sales per month in
2017.14. In cell D23, find the range of sales per month in
2017.15. In cells D24 and D25, find Q1 and Q3, respectively,
for the sales per month in 2017.16. In cell D26, find the
interquartile range per month in 2017.17. In cells D27 through
D31, find the five-number summary for the sales per month in
2017.18. In cell D32, find the standard deviation in sales per
month in 2017.19. In cell D33, find the variance in sales per
month in 2017.20. In cell F35 through F40, construct a
frequency table for the total sales in 2017 for each piece of
equipment.EquipmentPercentageBallsGoalsNetsRacquetsRods
and tackleSticks, bats and clubs21. In merged cells E41-F41,
find the correlation between "Balls" sales and "Goals" sales.22.
In merged cells E42-F42, find the correlation between "Nets"
sales and "Rods and tackle" sales.23. The relationship between
"Balls" sales & "Goals" sales is the relationship between
"Nets" sales and "Rods and tackle" sales.24. Based on the
correlation values, we can conlude that25. Insert a
recommended Line chart using the range A2 through N8.
Change the chart title to "Monthly Sales per Equipment". Resize
the chart to fit in the range A46 through G56.26. Insert a 3D pie
chart using the range A2:A8 and O2:O8. Remove the legend and
display the data labels in the center showing the category name
and percentage. Add a chart title “Total Sales in 2017”. Resize
the chart to fit in the range A58 through G68.