Questions
Internal auditors sometimes check random samples of transactions within a database. Suppose that in a particular...

Internal auditors sometimes check random samples of transactions within a database. Suppose that in a particular set of transactions, 2% contain an error of some kind. The auditor takes a random sample of 20 transactions for checking. Let X denote the number of transactions found to be in error in the sample.

(a) State the probability distribution of X (including the values of all parameters) and find the probability that 2 transactions are found to be in error.

(b) If three or more transactions are found to be in error then a larger sample is taken for checking. How often will this happen? (Use the appropriate template).

(c) What assumption is required for the validity of the above answers?

In: Statistics and Probability

A private kindergarten, Happy Learning, wants to build a database to manage their operations. You were...

A private kindergarten, Happy Learning, wants to build a database to manage their operations. You were assigned to create an initial design based on the following customer description of their operations.

There are 3 age levels in the kindergarten (turtles, foxes and monkeys). At each level there 3 classes (red, blue and green). For a class we keep a code based on the initial of group color and level (e.g. RT for red turtles, GF for green foxes). Each class has a room number and a phone number. Also, each class has a maximum capacity (between 25 and 31). Also, we will keep brief directions to the class location in the building.

For a student we will keep the name, any nickname, date of birth, address, and the class in which the student is currently enrolled. We will process students based on their first and last name, or nickname, if present. We will process the address based on the city, zipcode and street to identify recruiting areas.

For each student we will keep information about one or more parents (or caretakers). A parent may have several students enrolled in the kindergarted. For a parent (or caretaker) we will keep the name, home phone number, mobile phone number, work phone number, the personal email and relationship to the child (e.g. father, mother, grandfather). At least one type of phone is required, but some parents may not provide all types of phone numbers. Some parents do not provide emails. We will process parents based on their last name.

Each class has a teacher assigned. A teacher is assigned to a single class. For a teacher we keep the name, home phone number, work email, personal email, the graduated college and their major. All the teachers must have a bachelor degree. We will process teachers based on their first and last name.

In: Computer Science

Create data for the purchase of an automobile.  There should be 10 automobiles in your database.  You can...

Create data for the purchase of an automobile.  There should be 10 automobiles in your database.  You can get this from the newspaper or go online and find a site that will give you some possible purchases.

You should use the following fields:   Manufacturing, Model, Year, Doors, Cylinders and Sales Price.

1. Print the spreadsheet you created for your data.

2. Create and print 2 pivot tables to find some information you need to help you make your decision.

3. Do a VLOOKUP and a HLOOKUP for the purchase selected. Print a copy of your formula and the result.

4. Use MATCH command to find what position your decision appears on the spreadsheet. Highlight your decision on your spreadsheet.

In: Accounting

A college records the module registration information of their students in a database named College.mdb,which contains...

A college records the module registration information of their students in a database named College.mdb,which contains three tables,STUDENT,MODULE andMODULE_REG. A student may enroll in the same module as many times as they like. However, they can only enroll each module at most once in each semester. The design of the three tables are shown below:

Table STUDENT

Field Name

Data Type

Note

SID

Short Text

primary key

FirstName

Short Text

LastName

Short Text

Contact

Short Text

Gender

Short Text

“M” or “F”

Table MODULE_REG

Field Name

Data Type

Note

StudentID

Short Text

ModuleCode

Short Text

Year

Number

Semester

Number

Score

Number

Table MODULE

Field Name

Data Type

Note

ModuleCode

Short Text

primary key

ModuleName

Short Text

Download the database file College.mdbfrom Moodle. Rename it as College_Lxx_syyyyyy.mdb(where Lxxis your class andsyyyyyyis your student number, e.g. College_L01_s170001.mdb/College_L01_s170001.accdb) and complete the following tasks.

(a) Create a primary key of the table MODULE_REG.                                                                (1 mark)

(b)   Establish the relationships between the tables STUDENT,MODULE andMODULE_REG.      (1 mark)

(c)    Create queries to perform the following tasks:

  1. Display the student IDs, studentnames (including both first name and last name), as well as the code and name of modules that each student had enrolled in the secondsemester of 2019. Arrange the records in ascendingorder of the student IDs. Save the query as Q1.
    Note: You mustnotshow the semester and the year in the output.                            

(ii) Display the total number of students in each gender. Save the query as Q2.              

  1. Produce a list of module codes, module names, and the total number of enrollment records of each module. Arrange the records in ascendingorder of the total number of enrollment records of each module. Save the query as Q3.

Produce a list of module codes, module names, student names (including both first name and last name), and student IDs of enrolled students for all modules with module codes beginning with “COM” being registered in the firstsemester of 2019. Arrange the records in ascendingorder of module codes. Save the query as Q4.
Note: You mustnotshow the semester and the year in the output.

In: Computer Science

Prompt: Using the SEC’s EDGAR database, search for a large public company and download the most...

Prompt: Using the SEC’s EDGAR database, search for a large public company and download the most recent Form 10-K. This form contains all the information that must be reported annually to the SEC. Within this form, ensure that it includes footnotes, the management discussion and analysis (MD&A) sections, review each of the previously listed sections, and discuss any off-balance sheet financing, management concerns, management’s expectations for the future, and anything interesting or out of the ordinary. Feel free to supplement your search with current articles that discuss your chosen company and the industry in which it operates.

Specifically, the following critical elements must be addressed:

I. Company Selection: Select and name the public company along with the fiscal year-end of the annual report that includes footnotes and the management discussion and analysis (MD&A) sections. - Company Apple

II. Footnotes: Review the footnotes of the financial statements and describe off-balance sheet financing in general or with specific examples provided within the Form 10-K of the selected company (e.g., operating lease or through special purpose entities).

III. Management Discussion and Analysis (MD&A): Review the MD&A of the annual report. Management often discusses issues of concern in this area of their report. They also include projected financial statements, which may suggest ideas about the firm’s potential for future earnings.

a. Describe any management concerns listed and/or explain anything you find interesting or out of the ordinary.

b. Describe any projections and/or future expectations of the management.

In: Accounting

The database for a pet supply company includes the following table, named tblCollar, that contains product...

The database for a pet supply company includes the following table, named tblCollar, that contains product data for pet collars. The ItemDesc and Color fields contain text. The ItemNum, Price, and Quantity fields contain numbers.

ItemNum

ItemDesc

Color

Price

Quantity

2358

leather studded collar

black

30.00

35

2693

leather collar

brown

25.00

25

3547

striped collar

red

20.00

75

3855

striped collar

blue

15.00

42

3764

striped collar

green

15.00

48

5782

solid collar

pink

12.00

36

5785

solid collar

red

12.00

10

5787

solid collar

blue

10.00

15

Which of the following clauses would allow a user to select the records for collars with a cost of between 10 and 20?

a.

WHERE Price >= @Price1 AND Price <= @Price2

b.

WHERE Price LIKE 10 AND Price LIKE 20

c.

WHERE Price <= 10 AND Price >= 20

d.

WHERE @Price1 < Query  < @Price2

In: Computer Science

Write a SQL script to add another table to your database. Include these fields in your...

Write a SQL script to add another table to your database. Include these fields in

your Product table:

Field Name

Description

Data Type

Sample Value

ProductID

Product ID

integer

5

ProductName

Product Name

varchar(50)

candle

Description

Product Description

varchar(255)

Bee’s wax candle

picUrl

Filename of the product’s picture

varchar(50)

candle.gif

Price

Product Price

decimal

10.99

          ProductID should be the Primary Key. It is an auto-increment field.

          The Price field stores prices to 7 significant digits and to 2 decimal places.

          Add at least ten records to the Product table using INSERT.

In: Computer Science

1) Use Excel to develop a regression model for the Consumer Food Database (using the “Excel...

1) Use Excel to develop a regression model for the Consumer Food Database (using the “Excel Databases.xls” file on Blackboard) to predict Annual Food Spending by Annual Household Income for those living in the Metro area only.   

Suppose a household in the metro area has an annual income of $60,000. Predict how much they spend on food per year. Write your answer as a number (do not include the $ sign or comma) and round to 2 decimal places.

Annual Food Spending ($) Annual Household Income           ($) Non mortgage household debt ($)
8909 56697 23180
5684 35945 7052
10706 52687 16149
14112 74041 21839
13855 63182 18866
15619 79064 21899
2694 25981 8774
9127 57424 15766
13514 72045 27685
6314 38046 8545
7622 52408 28057
4322 41405 6998
3805 29684 4806
6674 49246 13592
7347 41491 4088
2911 26703 15876
8026 48753 16714
8567 55555 16783
10345 71483 21407
8694 50980 19114
8821 46403 7817
8678 51927 14415
14331 84769 17295
9619 59062 16687
9286 57952 14161
8206 58355 19538
16408 81694 15187
12757 69522 14651
17740 96132 0
7739 57796 22057
15383 88276 1896
4579 32264 7979
11679 65928 0
12877 69924 27330
16232 91108 9876
9621 54070 19908
8171 47238 17819
12128 77427 31340
8642 59805 4963
12400 60334 6632
9185 54114 18593
7862 40680 15202
9775 58263 1486
6771 52008 21713
3059 39643 12179
13211 70309 13221
7408 46450 5602
11581 76140 33874
14233 80833 11478
3352 31899 2762
2630 21647 2663
9093 65924 11355
12652 65923 5132
9559 62811 12613
6112 42335 3149
10431 65134 15196
12630 64621 21433
4578 36553 5502
9551 62910 11376
10262 70727 13287
9551 57634 11857
10143 56549 16136
8955 59662 11627
10197 57350 18432
11234 56447 10871
9320 61136 0
9089 51526 4902
12300 79979 17270
11484 66733 15145
11215 75359 15611
7204 40795 8975
5579 39128 6576
11723 75482 12508
9353 63998 0
7761 45845 6671
4261 38223 8576
9830 66787 1178
12386 77852 936
8673 55825 14167
10944 57022 9018
9910 64263 12768
9928 75881 17423
4264 34343 21323
7971 41243 21009
8290 53021 20151
12669 66991 9250
7272 49719 20838
9784 58399 16065
9187 50477 9407
5866 39112 20409
9456 51886 11668
6270 34797 146
9518 62348 5201
10968 78704 17002
8865 53620 32004
9226 51577 15922
4913 34761 17704
6976 60968 17799
8152 51281 8167
2887 25013 18763
8062 59238 10815
8895 47344 11814
8444 52645 22469
6148 35309 17139
4563 34355 10612
8185 50630 21187
3391 29056 15735
7436 48721 18363
9522 50459 16478
11290 72805 21238
10403 56954 22218
4693 39343 24696
5626 38833 14371
11869 55021 35576
13055 77605 817
8783 57937 18591
13031 63343 25531
3681 36479 17950
5549 40381 14257
4108 26309 26581
6314 41421 22470
7700 54579 29065
7479 40551 31757
9093 50369 6404
9863 54422 24334
8043 51836 26213
9552 73600 36374
9286 51873 29631
7987 48003 17261
3875 36519 13579
10746 75152 10659
6888 44974 23711
5479 48923 4594
6949 43769 21221
10650 75947 33357
5188 41423 33641
5311 40189 17791
4691 36772 5829
8056 59690 19594
11304 53654 23066
8112 59067 240
8696 65962 0
5869 37254 10157
3776 33568 14143
11829 56934 0
13087 88822 17565
10986 59635 27863
5762 38407 18867
11617 78627 11894
9895 47710 22930
16293 64443 31687
8185 58871 35424
13972 87954 11549
11243 54778 12552
4635 39825 19494
10063 49536 12195
8426 60102 13787
7436 49139 22356
11747 51052 4553
15397 70500 12025
6842 54894 16217
9678 60570 4106
12852 57625 31228
10114 56956 25907
8496 61400 1093
6689 50532 17106
15696 72774 17793
9841 69981 21607
12529 66891 17689
10210 67431 19995
8868 64782 14489
6426 38987 17864
11096 64867 5839
10086 50421 8689
2587 27076 17534
12492 51784 20284
8456 54135 22037
6801 53291 23342
6339 49804 34943
7802 52205 28579
9717 72841 22349
6026 46238 20165
5618 45938 10538
10217 77716 18516
8338 59711 7980
9048 42106 19786
4017 36462 9935
10906 53403 18177
15148 71290 6696
8830 66759 20972
8481 57616 28767
11358 76221 1373
10553 78202 5920
6969 55164 24795
13219 61171 21482
3543 34093 25969
7326 50647 10750
8458 59898 22940
11766 52884 25970
9908 73629 7112

In: Statistics and Probability

Researchers investigating temperament in dogs have a database of reactivity scores from a population of N...

Researchers investigating temperament in dogs have a database of reactivity scores from a population of N = 1000 puppies.  The reactivity scores are normally distributed with a mean of mu = 175 and a standard deviation of sigma = 20; higher scores indicate higher reactivity (that is, the puppy is more likely to become aroused by novel stimuli).

Dr. Kobe is also conducting temperament testing, but his local shelter is much smaller than Dr. Santos’.  Thus, he is only able to obtain a sample size of n = 20 puppies.

a. What is the likelihood that Dr. Kobe will obtain a mean reactivity score of 168 or lower?

b. What is the likelihood that Dr. Kobe will obtain a mean reactivity score of 190 or higher?

c. Why should the probability of obtaining a sample mean less than M = 165 be larger for Dr. Kobe than Dr. Santos?

In: Statistics and Probability

Create a database with two tables as follows:- Students - StudentID, Name, Program FeePayment - StudentID,...

Create a database with two tables as follows:- Students - StudentID, Name, Program FeePayment - StudentID, Date, Description, Amount 1. Create a stored procedure that receives all the details of a student including fees and proceeds to insert insert the student details into the student details and the fee payment into the FeePayment table. All the operations should be done within a single transaction in a stored procedure. Note that the stored procedure works like a function that receives parameters. Copy and submit your code for creating the tables as well as your stored procedure code in a word document.

In: Computer Science