EX19_AC_CH03_GRADER_HOE_AS_Instructions.docx Grader - Instructions Access 2019 ProjectExp19_Access_Ch03_HOEAssessment - Property Sales 1.0 Project Description: In the following project, using data on homes for sale that Amy and Zac acquired, you are able to target properties that meet specific criteria. As you examine the data, you discover other ways to analyze the properties. You create several queries and present your results to the two investors for their comments. You also create several totals queries to evaluate the property lists. Steps to Perform: Step Instructions Points Possible 1 Start Access. Open the downloaded Access file named Exp19_Access_Ch03_HOEAssessment_Property_Sales. Grader has automatically added your last name to the beginning of the filename. Click Enable Content on the Security Warning message bar. 0 2 Now that you have opened the database, you begin your analysis by creating a query using the Properties and Agents tables from the Property database. The Properties table contains all the properties the investors will evaluate; the Agents table contains a list of real estate agents who represent the properties’ sellers. In this exercise, you will add requested fields and only show properties that have not been sold. You will then build an expression to calculate the price per square foot for each property. Use Query Design to create a new query. The Show Table dialog box opens so you can specify the table(s) and/or queries to include in the query design. Add the Agents table then the Properties table. Close the Show Table dialog box. Add the FirstName and LastNamefields from the Agents table to the query. Add the ListPrice, SqFeet, and Soldfields from the Properties table to the query. Run the query and view the 23 properties that display in the query results. 5 3 Switch back to Design view and add No in the Criteria row of the Sold field. Sort the query in Ascending order by the ListPrice field. Run the query and view the 17 unsold properties in order from least expensive to most expensive. Save the query as Price Per Square Foot. 10 4 Switch to Design view. In the Field row of the first blank column of the query design grid, right-click and select Zoom. Add PricePerSqFt: xListPrice/xSqFeet and click OK. Access inserts square brackets around the fields for you. Be sure that you added the extra x’s to the field names. You are intentionally misspelling the field names to see how Access will respond. Run the query. In the first Enter Parameter Value dialog box, enter 200000 and click OK. Access does not recognize xListPrice in the tables defined for this query in the first record. When Access does not recognize a field name, it will ask you to supply a value. Another Enter Parameter Value dialog box displays, asking that you supply a value for xSqFeet. Again, this error occurs because the tables defined for this query do not contain an xSqFeet field. Type 1000 in the second parameter box and press ENTER. The query ...

1. EX19_AC_CH03_GRADER_HOE_AS_Instructions.docx
Grader - Instructions Access 2019
ProjectExp19_Access_Ch03_HOEAssessment - Property Sales
1.0
Project Description:
In the following project, using data on homes for sale that Amy
and Zac acquired, you are able to target properties that meet
specific criteria. As you examine the data, you discover other
ways to analyze the properties. You create several queries and
present your results to the two investors for their comments.
You also create several totals queries to evaluate the property
lists.
Steps to Perform:
Step
Instructions
Points Possible
1
Start Access. Open the downloaded Access file named
Exp19_Access_Ch03_HOEAssessment_Property_Sales. Grader
has automatically added your last name to the beginning of the
filename. Click Enable Content on the Security Warning
message bar.
0
2
Now that you have opened the database, you begin your analysis
by creating a query using the Properties and Agents tables from
the Property database. The Properties table contains all the
properties the investors will evaluate; the Agents table contains
a list of real estate agents who represent the properties’ sellers.
In this exercise, you will add requested fields and only show
properties that have not been sold. You will then build an
expression to calculate the price per square foot for each
property.

2. Use Query Design to create a new query. The Show Table
dialog box opens so you can specify the table(s) and/or queries
to include in the query design. Add the Agents table then the
Properties table. Close the Show Table dialog box.
Add the FirstName and LastNamefields from the Agents table to
the query. Add the ListPrice, SqFeet, and Soldfields from the
Properties table to the query. Run the query and view the 23
properties that display in the query results.
5
3
Switch back to Design view and add No in the Criteria row of
the Sold field. Sort the query in Ascending order by the
ListPrice field. Run the query and view the 17 unsold properties
in order from least expensive to most expensive.
Save the query as Price Per Square Foot.
10
4
Switch to Design view. In the Field row of the first blank
column of the query design grid, right-click and select Zoom.
Add PricePerSqFt: xListPrice/xSqFeet and click OK. Access
inserts square brackets around the fields for you. Be sure that
you added the extra x’s to the field names. You are intentionally
misspelling the field names to see how Access will respond.
Run the query. In the first Enter Parameter Value dialog box,
enter 200000 and click OK. Access does not recognize
xListPrice in the tables defined for this query in the first record.
When Access does not recognize a field name, it will ask you to
supply a value.
Another Enter Parameter Value dialog box displays, asking that
you supply a value for xSqFeet. Again, this error occurs
because the tables defined for this query do not contain an

3. xSqFeet field. Type 1000 in the second parameter box and press
ENTER. The query has the necessary information to run and
returns the results in Datasheet view. Examine the results of the
calculation for Wrong Price Per Sq Ft. All of the records show
200 because you entered the values 200000 and 1000,
respectively, into the parameter boxes. The two values are
treated as constants and give the same results for all records.
Return to Design view and display the Zoom window. Correct
the errors in the PricePerSqFt field by changing the formula to
PricePerSqFt: [ListPrice]/[SqFeet] and click OK.
Run the query and adjust column widths as necessary. The new
calculated field, PricePerSqFt, is displayed. The new field
divides the values in the ListPrice field by the values in the
SqFeet field.
Save and close the query.
10
5
Now, Amy and Zac would like to see the field formatted with
two decimal places. You will change the format to Currency and
add a caption to the calculated field.
Make a copy of the Price Per Square Foot query and name it
Price Per Square Foot Formatted.
Open the Price Per Square Foot Formatted query in Design
view. Display the Property Sheet (in the Show/Hide group on
the Design tab) for the PricePerSqFt calculated field. Change
the field format to Currency then change the Caption to Price
Per Sq Ft (no period). Close the Property Sheet.
Run the query to view your changes. The calculated field values
are formatted as Currency, and the column heading displays
Price Per Sq Ft instead of PricePerSqFt.

4. Save and close the query.
5
6
You will create a copy of the Price Per Square Foot Formatted
query from the previous step and paste it using a new name.
You will add a few more calculated fields to the new query.
You will create one calculation to determine the price per
bedroom for each house. You will create a second field to
calculate the price per room. For this calculation, you will
assume that each property has a kitchen, a living room, a dining
room, and the listed bedrooms and bathrooms.
Create a copy of the Price Per Square Foot Formatted query and
name it List Price Calculations.
Open the List Price Calculations query in Design view. Di splay
the Builder window for the PricePerSqFt column (in the Query
Setup group). The Expression Builder dialog box opens,
displaying the current formula.
Change the PricePerSqFt field name to PricePerBR and remove
the [SqFeet] field. In the Expression Elements box, select
Properties table from the
Exp19_Access_Ch03_HOEAssessment_Property_Sales
database.
The fields from the Properties table are now listed in the middle
column (Expression Categories). Add the Beds field to the
expression box.
The expression now reads PricePerBR:
[ListPrice]/[Properties]![Beds].
Delete the [Properties]! prefix in front of Beds.
The expression now reads PricePerBR: [ListPrice]/[Beds].

5. As the Beds field name is unique within our query, the table
name is not necessary. Removing this makes the query easier to
read. If a field named Beds appeared in more than one table in
our query, removing the table name would cause problems.
Close the Expression Builder. Run the query. Notice that the
column heading still reads Price Per Sq Ft. Also notice that the
column’s contents are formatted as Currency. These settings
were copied when the query was copied.
10
7
Switch to Design view and ensure that the PricePerBR field is
selected. In the Property Sheet, change the Caption to Price Per
Bedroom. Close the Property Sheet and run the query. The
PricePerBR column now has an appropriate caption.
Switch to Design view. Make a copy of the PricePerBR
expression and paste it in the next blank column. You will edit
the copied expression so that it reflects the price per room,
assuming that the kitchen, living room, dining room, and the
bedrooms and bathrooms will make up the number of rooms.
In the Builder window, change the PricePerBR field name to
PricePerRoom. Add an opening parenthesis before the [Beds]
portion of the formula and a plus sign after [Beds]. Because you
want the addition to be done first, you will enclose the addition
part in parentheses.
The expression box should read PricePerRoom:
[ListPrice]/([Beds]+
In the Expression Elements box, select Properties table from the
Exp19_Access_Ch03_HOEAssessment_Property_Sales database
and add the Baths field to the expression box. Type another plus
sign after [Baths] and type 3 followed by a right parenthesis. In
other words, you will type +3) in the expression box. Delete the
[Properties]! portion of the expression and click OK.

6. The expression now reads PricePerRoom:
[ListPrice]/([Beds]+[Baths]+3).
Your final formula is the list price divided by the total number
of rooms. The total number of rooms is the number of bedrooms
(in the Beds field), plus the number of bathrooms (found in the
Baths field), plus 3 (a constant representing the kitchen, living
room, and dining room).
In the Property Sheet, change the caption to Price Per Room and
change the Format to Currency. Close the Property Sheet.
Run the query, adjusting the column widths as necessary, then
save and close the query.
10
8
Amy and Zac feel like they are close to making an offer on a
house. They would like to restrict the query to houses that cost
$210,000 or less. They would also like to calculate the
estimated mortgage payment for each house. You create this
calculation using the Pmt function. You make the following
assumptions: 75% of the sale price to be financed, a 30-year
term, monthly payments, and a fixed 3.65% annual interest rate.
Make a copy of the Price Per Square Foot Formatted query and
call it Mortgage Payments. Open the Mortgage Payments in
Design View. Add <=210000 to the Criteria row of the ListPrice
column. The query, when it is run, will show only the 7 houses
that haven’t been sold that cost $210,000 or less.
In the first blank column, display the Builder window. Add the
Pmt function to the expression builder window (Functions ?
Built-In Functions ? Financial).The expression box displays:
Pmt(«rate», «num_periods», «present_value», «future_value»,
«type»)

7. Position the insertion point before the Pmt function. Type
Payment: to the left of the Pmt function, with a space after the
colon. The expression box now displays:
Payment: Pmt(«rate», «num_periods», «present_value»,
«future_value», «type»)
Substitute the appropriate information in each argument
ensuring that there is a comma between each argument.
Argument
Value
«rate»
.0365/12
«num_periods»
30*12
«present_value»
[ListPrice]*.75
«future_value»
0
«type»
0
Note that the loan is a 30-year loan with 12 payments per year,
hence the calculation for the number of payments. Also note,
Amy and Zac plan on financing 75% of the cost, putting 25%

8. down. Therefore, you will multiply the list price by .75 (75%).
Change the format of the Payment field to Currency then close
the Property Sheet and run the query. Notice that the payment
amounts are negative numbers (displayed in parentheses). You
will edit the formula to change the negative payment values to
positive.
Switch back to Design View. In the Builder window of the
Payment field, add a minus sign(-) to the left of [ListPrice] then
click OK. By adding the negative sign in front of the ListPrice
field, you ensure that the value is displayed as a positive
number. The expression now reads:
Payment: Pmt(.0365/12,30*12, -[ListPrice]*.75,0,0)
Run the query, adjusting the column widths as necessary. The
query now displays a column containing the calculated monthly
mortgage payment, formatted as currency.
Save and close the query.
10
9
Amy and Zac decide it would be helpful to analyze the property
lists they purchased. Some of the lists do not have homes that
match their target criteria. The investors will either purchase
new lists or alter their criteria. You create several totals queries
to evaluate the property lists. You begin your property list
analysis by creating a total row in Datasheet view of the
Mortgage Payments query. This will give you a variety of
aggregate information for important columns.
Open the Mortgage Payments query in Design view. Drag the
ListingID field from the Properties table to the fifth column.
The ListingID field is now in the fifth column, between the
SqFeet and Sold fields. The other columns shift to the right.

9. In Datasheet view, click Totals in the Records group on the
Home tab. In the Total row, display the Average List Price for
all the properties that have not sold. Adjust column widths as
necessary to ensure that all values are displayed.
The average list price of these properties is $165,294.36.
In the Total row, display the Count of ListingIDs.
The count of properties in this datasheet is 7.
In the Total row, display the Average Price Per Sq Ft.
The average price per square foot is $115.32.
Save and close the query.
10
10
Now, you create a totals query to help Amy and Zac evaluate
the properties in groups.
Create a new query, via Query Design, and add the Properties
table.
Add the SalePrice and Sold fields to the query (in that order)
then Display the Total row (Show/Hide group of the Design
tab). A new row labeled Total displays in the query design grid,
between the Table and Sort rows. Each field has Group By
listed in the new row by default.
In the SalePrice column Total row, change Group By to Avg. In
the Sold column Total row, change Group By to Where then
type Yes in the Criteria row. This criterion will limit the results
to sold houses only.
Change the SalePrice format to Currency. Close the Property
Sheet. Run the query and adjust the column width, if necessary.
The results show an overall average of $333,838.77 for the sold
properties in the database.

10. Save the query as Overall Results then close the query.
10
11
Create a new query, via Query Design, and add the Properties
and Lists tables. Add the NameOfList field from the Lists table
and the SalePrice, ListingID, and Soldfields from the Properties
table to the query.
Display the Total row then change the Total row to Avg for
SalePrice and to Count for ListingID. Next, change the Total
row for Sold to Where then type Yes in the Criteria row. This
criterion will limit the results to sold houses only.
Change the SalePrice format to Currency then the caption for
the ListingID field to Number Sold. Close the Property Sheet
and run the query. Adjust column widths as necessary. Notice
that Minor Houses has the lowest average sale price. As Amy
and Zac are hoping to focus on inexpensive properties, they can
focus on properties offered by this source. Notice also that the
query results show the number of properties sold in each source,
in addition to the average sale price. This will help determine
which sources have been more effective.
Save the query as Results By Listing Company.
10
12
The previous query shows the average value of the properties by
listing company. However, Amy and Zac learned at the seminar
they attended that the longer a property has been on the market,
the better your chances of negotiating a better price. You will
revise the query to show, on average, how long each listing
company takes to sell a house.
Copy the query, save it as Results By Listing Company Revised
and click OK.

11. Display the Total row then change the Total row for the Number
Sold column to Sum. The total number of houses sold (6) now
displays at the bottom of the Number Sold column.
Switch to Design view. In the first blank column, type
DaysOnMarket: [DateSold]-[DateListed] to create a new
calculated field. Change the Total row from Group By to Avg
then change the Format to Fixed and close the Property Sheet.
The DaysOnMarket field will show the average number of days
on the market for each sold listing.
Run the query and adjust the column widths as necessary. Minor
Houses listings have an average of 28.00 days on the market.
Since this is lower than their competitors, it lets you know they
are fast with sales.
Save and close the query.
10
13
Close all database objects. Close the database and then exit
Access. Submit the database as directed.
0
Total Points
100
Created On: 03/24/2020 1
Exp19_Access_Ch03_HOEAssessment - Property Sales 1.0
Hasooni_Exp19_Access_Ch03_HOEAssessment_Property_Sales
.accdbAgentIDFirstNameLastNameCellCompanyA001GarrisonS
nyder3.878842283E9HouseMINA002LarsRussell6.474544098E9
QuanjingA003JannaWitt5.454064057E9EdelmanA004BriannaHa
ys6.019610219E9Doorblog
PropertiesA005SkylerCollins2.906961381E9Boonty and
SonA006MaxineCompton3.893790867E9ToyparkListIDNameOf

12. ListOriginalFormatL001Sale of
HousesExcelL002WholesalerExcelL003Minor HousesHard
copyL004SlowHouseExcelL005TrulloCSVL006Tazinga
ListingsExcelL007Acronis ListingsData
EntryIDmSysRowId1uOeOsLL7b1IKXXl8oOpRsmrTr3OQoZA+
rVFCZs+ri8I=-
~65cMzlaXX+eZgqE8frxVLA==ListingIDDateListedDateSoldLi
stPriceSalePriceSqFeetBedsBathsAddressSubdivision
IDSoldAgentIDListIDL0015/4/18¤ 200,483.172236.04.03.07402
West Vernon Avenue S001NoA004L003L0025/14/18¤
165,606.581608.02.01.5405 Ocean
Street S013NoA002L003L0035/10/18¤
291,377.572084.03.03.07 Spring
St. S014NoA004L004L0043/6/18¤ 121,617.451126.02.01.0873
West Ave. S013NoA002L004L0054/21/18¤
371,545.802284.03.03.0244 West Hill Field
Street S007NoA005L003L0064/30/18¤
385,977.832754.03.01.09507 Trenton
St. S005NoA004L003L0074/30/18¤ 336,794.202330.03.02.0659
Coffee Ave. S012NoA006L003L0085/14/18¤
174,635.291376.02.01.029 Somerset
Street S006NoA004L003L0096/5/186/26/18¤
196,402.55$179,838.572059.04.02.0738 Hillcrest
St. S004YesA004L003L0105/5/18¤ 287,613.241776.02.01.0327
Summer Drive S007NoA006L003L0114/29/185/15/18¤
255,411.43$260,567.762498.03.03.08344 N. Peachtree
Lane S007YesA005L003L0125/29/18¤
300,443.011880.04.02.0697 Prospect
St. S005NoA004L004L0134/25/185/20/18¤
448,653.25$495,034.032421.03.02.07876 Brook
Drive S008YesA005L003L0145/20/18¤
176,615.501460.02.01.07861 N. Richardson
St. S002NoA006L003L0155/5/186/17/18¤
308,832.47$334,857.341796.02.01.0202 Arch
Rd. S011YesA006L003L0166/8/18¤
171,555.911247.02.01.09606 Glen Creek

13. Dr. S005NoA001L004L0176/22/18¤ 324,059.472646.04.02.0528
West Birch Hill Lane S012NoA002L004L0183/17/18¤
235,209.972259.04.03.07416 Rockville
Road S006NoA002L003L0197/4/18¤
216,874.982023.02.01.0701 Glenridge
Street S011NoA006L003L0204/18/18¤
335,991.232278.03.02.07407 Pumpkin Hill
Court S009NoA002L003L0213/31/185/5/18¤
230,143.60$264,023.601694.02.01.09853 S. State
Ave. S014YesA004L003L0225/30/187/11/18¤
488,106.44$468,711.302775.04.02.09843 3rd
St. S005YesA002L001L0234/11/18¤ 146,546.651210.02.01.042
Bridgeton St. S003NoA006L005Subdivision
IDSubdivisionPoolRecreation CenterBike
TrailmSysRowIdS001Cherry ButteYesNoNoS002Deer
ForestNoYesYesS003Guava DeltaYesYesYesS004The Commons
at Durham StreamsNoNoNoS005Peaceful
CornerYesYesNoS006Weeping Willow
PastureNoYesYesS007Darling MesaYesNoNoS008Lonely
AcresYesYesYesS009Guava StrandYesNoYesS010Deer
CrestNoNoNoS011The Abbey at Wolf
TerraceYesYesYesS012Mango HarborYesYesNoS 013Madera
BajaNoYesYesS014Mariner WavesNoNoNo
Hasooni_Exp19_Access_Ch03_HOEAssessment_Property_Sales
.accdbAgentIDFirstNameLastNameCellCompanyA001GarrisonS
nyder3.878842283E9HouseMINA002LarsRussell6.474544098E9
QuanjingA003JannaWitt5.454064057E9EdelmanA004BriannaHa
ys6.019610219E9Doorblog
PropertiesA005SkylerCollins2.906961381E9Boonty and
SonA006MaxineCompton3.893790867E9ToyparkListIDNameOf
ListOriginalFormatL001Sale of
HousesExcelL002WholesalerExcelL003Minor HousesHard
copyL004SlowHouseExcelL005TrulloCSVL006Tazinga
ListingsExcelL007Acronis ListingsData

14. EntryIDmSysRowId19xamAy8IBHXQuV+QZjPdKG7Uw8TmYy
AXUwJl2JsvIwU=-
~+OvjqG/iAKaZe7SjQN149w==ListingIDDateListedDateSoldLi
stPriceSalePriceSqFeetBedsBathsAddressSubdivision
IDSoldAgentIDListIDL0015/4/18¤ 200,483.172236.04.03.07402
West Vernon Avenue S001NoA004L003L0025/14/18¤
165,606.581608.02.01.5405 Ocean
Street S013NoA002L003L0035/10/18¤
291,377.572084.03.03.07 Spring
St. S014NoA004L004L0043/6/18¤ 121,617.451126.02.01.0873
West Ave. S013NoA002L004L0054/21/18¤
371,545.802284.03.03.0244 West Hill Field
Street S007NoA005L003L0064/30/18¤
385,977.832754.03.01.09507 Trenton
St. S005NoA004L003L0074/30/18¤ 336,794.202330.03.02.0659
Coffee Ave. S012NoA006L003L0085/14/18¤
174,635.291376.02.01.029 Somerset
Street S006NoA004L003L0096/5/186/26/18¤
196,402.55$179,838.572059.04.02.0738 Hillcrest
St. S004YesA004L003L0105/5/18¤ 287,613.241776.02.01.0327
Summer Drive S007NoA006L003L0114/29/185/15/18¤
255,411.43$260,567.762498.03.03.08344 N. Peachtree
Lane S007YesA005L003L0125/29/18¤
300,443.011880.04.02.0697 Prospect
St. S005NoA004L004L0134/25/185/20/18¤
448,653.25$495,034.032421.03.02.07876 Brook
Drive S008YesA005L003L0145/20/18¤
176,615.501460.02.01.07861 N. Richardson
St. S002NoA006L003L0155/5/186/17/18¤
308,832.47$334,857.341796.02.01.0202 Arch
Rd. S011YesA006L003L0166/8/18¤
171,555.911247.02.01.09606 Glen Creek
Dr. S005NoA001L004L0176/22/18¤ 324,059.472646.04.02.0528
West Birch Hill Lane S012NoA002L004L0183/17/18¤
235,209.972259.04.03.07416 Rockville
Road S006NoA002L003L0197/4/18¤

15. 216,874.982023.02.01.0701 Glenridge
Street S011NoA006L003L0204/18/18¤
335,991.232278.03.02.07407 Pumpkin Hill
Court S009NoA002L003L0213/31/185/5/18¤
230,143.60$264,023.601694.02.01.09853 S. State
Ave. S014YesA004L003L0225/30/187/11/18¤
488,106.44$468,711.302775.04.02.09843 3rd
St. S005YesA002L001L0234/11/18¤ 146,546.651210.02.01.042
Bridgeton St. S003NoA006L005Subdivision
IDSubdivisionPoolRecreation CenterBike
TrailmSysRowIdS001Cherry ButteYesNoNoS002Deer
ForestNoYesYesS003Guava DeltaYesYesYesS004The Commons
at Durham StreamsNoNoNoS005Peaceful
CornerYesYesNoS006Weeping Willow
PastureNoYesYesS007Darling MesaYesNoNoS008Lonely
AcresYesYesYesS009Guava StrandYesNoYesS010Deer
CrestNoNoNoS011The Abbey at Wolf
TerraceYesYesYesS012Mango HarborYesYesNoS013Madera
BajaNoYesYesS014Mariner WavesNoNoNo
SELECT Agents.FirstName, Agents.LastName,
Properties.ListPrice, Properties.SqFeet, Properties.Sold,
[ListPrice]/[Beds] AS PricePerBR,
[ListPrice]/([Beds]+[Baths]+3) AS PricePerRoom
FROM Agents INNER JOIN Properties ON Agents.AgentID =
Properties.AgentID
WHERE (((Properties.Sold)="No"))
ORDER BY Properties.ListPrice;
SELECT Agents.FirstName, Agents.LastName,
Properties.ListPrice, Properties.SqFeet, Properties.ListingID,
Properties.Sold, [ListPrice]/[SqFeet] AS PricePerSqFt,
Pmt(0.0365/12,30*12,-[ListPrice]*0.75,0,0) AS Payment
FROM Agents INNER JOIN Properties ON Agents.AgentID =
Properties.AgentID
WHERE (((Properties.ListPrice)<=210000) AND
((Properties.Sold)="No"))
ORDER BY Properties.ListPrice;

16. SELECT Avg(Properties.SalePrice) AS AvgOfSalePrice
FROM Properties
WHERE (((Properties.Sold)="Yes"));
SELECT Agents.FirstName, Agents.LastName,
Properties.ListPrice, Properties.SqFeet, Properties.Sold,
[ListPrice]/[SqFeet] AS PricePerSqFt
FROM Agents INNER JOIN Properties ON Agents.AgentID =
Properties.AgentID
WHERE (((Properties.Sold)="No"))
ORDER BY Properties.ListPrice;
SELECT Agents.FirstName, Agents.LastName,
Properties.ListPrice, Properties.SqFeet, Properties.Sold,
[ListPrice]/[SqFeet] AS PricePerSqFt
FROM Agents INNER JOIN Properties ON Agents.AgentID =
Properties.AgentID
WHERE (((Properties.Sold)="No"))
ORDER BY Properties.ListPrice;
SELECT Lists.NameOfList, Avg(Properties.SalePrice) AS
AvgOfSalePrice, Count(Properties.ListingID) AS
CountOfListingID
FROM Properties INNER JOIN Lists ON Properties.ListID =
Lists.ListID
WHERE (((Properties.Sold)="Yes"))
GROUP BY Lists.NameOfList;
SELECT Lists.NameOfList, Avg(Properties.SalePrice) AS
AvgOfSalePrice, Count(Properties.ListingID) AS
CountOfListingID, Avg([DateSold]-[DateListed]) AS
DaysOnMarket
FROM Properties INNER JOIN Lists ON Properties.ListID =
Lists.ListID
WHERE (((Properties.Sold)="Yes"))
GROUP BY Lists.NameOfList;