DISTINCT Keyword: “DISTINCT” keyword is used to avoid redundant data (removing duplicate values) from a column. The syntax for “DISTINCT” keyword is as follows: SELECT DISTINCT column_Name FROM table_Name; ORDER BY Clause: SQL contains “ORDER BY” clause in order to sort rows. The values get sorted in ascending as well as descending order. The keyword used to sort values in ascending order is “ASC” and for descending order is “DESC”. By default, it sorts values by ascending order. Syntax: SELECT column_Name1, column_Name2 FROM table_Name ORDER BY column_Name2;

Question

My daughter is a Girl Scout and it is time for our cookie sales. There are 15 neighbors nearby and she plans to visit every neighbor this evening. There is a 40% likelihood that someone will be home. If someone is home, there is an 85% likelihood that person will make a purchase. If a purchase is made, the revenue generated from the sale follows the Normal distribution with mean $18 and standard deviation $5. Using @RISK, simulate our door-to-door sales using at least 1000 iterations and report the expected revenue, the maximum revenue, and the average number of purchasers. What is the probability that the revenue will be greater than $120?

Answer 1

Question

Chapter 7, Problem 60P

Program Plan Intro

DISTINCT Keyword:

“DISTINCT” keyword is used to avoid redundant data (removing duplicate values) from a column. The syntax for “DISTINCT” keyword is as follows:

SELECT DISTINCT column_Name FROM table_Name;

ORDER BY Clause:

SQL contains “ORDER BY” clause in order to sort rows. The values get sorted in ascending as well as descending order. The keyword used to sort values in ascending order is “ASC” and for descending order is “DESC”. By default, it sorts values by ascending order.

Syntax:

SELECT column_Name1, column_Name2 FROM table_Name ORDER BY column_Name2;

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My daughter is a Girl Scout and it is time for our cookie sales. There are 15 neighbors nearby and she plans to visit every neighbor this evening. There is a 40% likelihood that someone will be home. If someone is home, there is an 85% likelihood that person will make a purchase. If a purchase is made, the revenue generated from the sale follows the Normal distribution with mean $18 and standard deviation $5. Using @RISK, simulate our door-to-door sales using at least 1000 iterations and report the expected revenue, the maximum revenue, and the average number of purchasers. What is the probability that the revenue will be greater than $120?

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