diff --git a/Chapter_07/Chapter_07.sql b/Chapter_07/Chapter_07.sql
index e94c777..b47624b 100644
--- a/Chapter_07/Chapter_07.sql
+++ b/Chapter_07/Chapter_07.sql
@@ -113,15 +113,18 @@ ORDER BY district_2020.id;
 -- Listing 7-9: Using CROSS JOIN
 
 SELECT *
-FROM district_2020 CROSS JOIN district_2035;
+FROM district_2020 CROSS JOIN district_2035
+ORDER BY district_2020.id, district_2035.id;
 
 -- Alternately, a CROSS JOIN can be written with a comma-join syntax:
 SELECT *
-FROM district_2020, district_2035;
+FROM district_2020, district_2035
+ORDER BY district_2020.id, district_2035.id;
 
 -- Or it can be written as a JOIN with true in the ON clause:
 SELECT *
-FROM district_2020 JOIN district_2035 ON true;
+FROM district_2020 JOIN district_2035 ON true
+ORDER BY district_2020.id, district_2035.id;
 
 -- Listing 7-10: Filtering to show missing values with IS NULL
 
diff --git a/Try_It_Yourself/Try_It_Yourself.sql b/Try_It_Yourself/Try_It_Yourself.sql
index 15e8889..eb7c540 100644
--- a/Try_It_Yourself/Try_It_Yourself.sql
+++ b/Try_It_Yourself/Try_It_Yourself.sql
@@ -310,9 +310,9 @@ GROUP BY state_name;
 -- Chapter 7: Joining Tables in a Relational Database
 ----------------------------------------------------------------------------
 
--- 1. According to the Census population estimates, which county had the
+-- 1. According to the census population estimates, which county had the
 -- greatest percentage loss of population between 2010 and 2019? Try
--- an Internet search to find out what happened. (Hint: The loss is related
+-- an internet search to find out what happened. (Hint: The loss is related
 -- to a particular type of facility.)
 
 -- Answer: 
@@ -337,7 +337,7 @@ ORDER BY pct_change ASC;
 
 
 -- 2. Apply the concepts you learned about UNION to create query 
--- results that merge queries of the Census county population estimates
+-- results that merge queries of the census county population estimates
 -- for 2010 and 2019. Your results should include a column called year
 -- that specifies the year of the estimate for each row in the results.