Questions
Part 1Write a narrative that describes what information you will store in a database. Be as...

Part 1Write a narrative that describes what information you will store in a database. Be as descriptive as you can be.

Part 2Create an E-R diagram that corresponds to yournarrative. If you have fewer than three entities in your E-R diagram, revise your narrative!Remember that foreign key values should not be in your entities.Make sure that you include maximum and minimum cardinalities for your relationships.You can use a tool to create the E-R diagram or draw it by hand and photograph it.You can use any style of E-R diagram that you like.

Part 3Convert your E-R diagram into a set of tables. All tables should be 3NF.

Part 4Write an SQLscript to create this database. Your table definitions should contain primary key and foreign key constraints. There shouldbe at least one CHECK constraint.There should be at least one index defined.Your script should include enough INSERT commandsso thatat least one table has at least 20 records, and all tables have at least 3 records.

Part 5Create 10 queries for your database. Show both the query and the result of the query. Write an English language description of each query. Make sure that your tables contain enough records to show the result of your query. Your queries should include:

•2 examples of GROUP BY

•3 queries with INNERJOINs, one of which has at least three tables joined together

•1 query with a LEFT JOIN

•2nested queries

•1 example of a nested query that includes a NOT IN

•1 example of a query with an aggregate function

In: Computer Science

Create three MySQL database tables and write SQL scripts to read, insert, and delete data. The...

Create three MySQL database tables and write SQL scripts to read, insert, and delete data. The first database table will contain the names of at least four movies. The second table will be a list of actors who appear in the movies. The third table will be an associative table that describes the relationship between the actors and their movies (which actors appear in which movies). Actors and movies have a “many-to-many relationship,” meaning an actor can be in multiple movies and a movie can have multiple actors.

  • Use the MySQL Database Instructions to create the three tables.
  • Once the three tables are completed, create a “join” statement that joins data from all three tables. Remember that field names used in more than one table (ASIN, ActorID) must be fully qualified (i.e., dvdtitle, ASIN).
  • The previous SQL query returns a separate record for each actor. Provide a way to group results from several records into a single row.

General guidelines for this interactive assignment:

  • String values in SQL statements are always enclosed within single quotes. ASIN and Title are both strings and require single quotes. For instance, your insert statement will look something like this:
    $sql = “Insert into dvdtitles (asin, title, price) VALUES (‘$asin’, ‘$title’, $price)”;
  • SQL debugging tip: check your SQL statement before you execute it. Put the following line of code immediately before the mysql_query($strSQL) statement.
  • When retrieving ASIN from the querystring, remember that ASIN is a string, not a number.
  • Explain in detail the process on how to group results from several records into a single row.

In: Computer Science

You are asked to design a database to support a Instant Recruitment System of casual staff...

You are asked to design a database to support a Instant Recruitment System of casual staff for a school. The major business requirements are summarised below in the Mini Case: An Instant Recruitment System. You are asked to develop a detailed Entity-Relationship model for this mini case. Your ER model should consist of a detailed ER diagram integrated with itemised discussions on the features of the entities and relationships and all the assumptions you made where applicable. The ER diagram and the accompanying document should identify keys, constraints, entity types, relationship types, specialisation/generalisation if any, etc. You must use the same notation scheme for the ER diagram as the textbook (use UML notations as shown in the last page of the textbook, and don't use Crew Foot notations), and the ER diagram should be strictly in the way the textbook uses for.

  1. The ER diagram should include, among others, representative attributes for all entity types, proper subclassing if any, and correct participation multiplicities for the relationship types. It should be meaningfully and well designed, and should also include all relevant and necessary aspects, and indicate any supplementary business rules if you decide to introduce.
  2. Map the above ER diagram into a global relation diagram (GRD) All the attributes should be kept there too. Include in the diagram all the primary keys, foreign keys, and the multiplicity constraints. (
  3. Please note that an ERD is the artefact of the conceptual database design phase, while a GRD is the artfact of the logical database design phase which relates to the relational models. As such, a good ERD should be conceptually more concise and the relationships there should in general remain so rather than becoming extra entities as in a relational model.

In: Computer Science

use below data: Year Month Demand (u) 2017 May 147 2017 June 181 2017 July 154...

use below data:

Year Month Demand (u)
2017 May 147
2017 June 181
2017 July 154
2017 August 215
2017 September 179
2017 October 166
2017 November 227
2017 December 245
2018 January 223
2018 February 271
2018 March 260
2018 April 248
2018 May 316
2018 June 272
2018 July 378
2018 August 355
2018 September 371
2018 October 366
2018 November 426
2018 December 418

You plan to use an exponential smoothing method to forecast demand.

Find the MSE if you the exponential smoothing with alpha of 0.15

and the MSE if you use the exponential smoothing with alpha of 0.47.

Which of the above models is relatively more accurate according to

the value of MSE? Give a brief explanation.

In: Economics

Date Stock price USD/BRL 6/29/2018 0.20 3.9644 6/28/2018 0.25 3.959 6/27/2018 0.25 3.9734 6/26/2018 0.25 3.9588...

Date Stock price USD/BRL
6/29/2018 0.20 3.9644
6/28/2018 0.25 3.959
6/27/2018 0.25 3.9734
6/26/2018 0.25 3.9588
6/25/2018 0.23 3.9691
6/22/2018 0.31 3.9719
6/21/2018 0.21 3.9833
6/20/2018 0.22 3.9734
6/19/2018 0.21 3.9725
6/18/2018 0.21 3.9726
6/15/2018 0.34 3.9642
6/14/2018 0.30 3.9647
6/13/2018 0.34 3.9607
6/12/2018 0.34 3.9566
6/11/2018 0.34 3.9609
6/8/2018 0.30 3.961
6/7/2018 0.29 3.9568
6/6/2018 0.29 3.9703
6/5/2018 0.29 3.9754
6/4/2018 0.30 3.9707
6/1/2018 0.35 3.9665
5/31/2018 0.40 3.9698
5/30/2018 0.35 3.9611
5/29/2018 0.35 3.9602
5/25/2018 0.27 3.9693
5/24/2018 0.29 3.9745
5/23/2018 0.15 3.9653
5/22/2018 0.15 3.9641
5/21/2018 0.20 3.9655
5/18/2018 0.20 3.9758
5/17/2018 0.12 3.9788
5/16/2018 0.14 3.9864
5/15/2018 0.14 3.989
5/14/2018 0.14 3.992
5/11/2018 0.16 3.9732
5/10/2018 0.20 3.9674
5/9/2018 0.20 3.983
5/8/2018 0.21 4.0069
5/7/2018 0.19 4.0121
5/4/2018 0.22 3.9906
5/3/2018 0.16 4.0016
5/2/2018 0.24 3.9817
5/1/2018 0.24 3.9983
4/30/2018 0.24 4.0006
4/27/2018 0.21 4.0138
4/26/2018 0.25 4.0212
4/25/2018 0.29 4.0128
4/24/2018 0.29 4.0086
4/23/2018 0.21 4.0088
4/20/2018 0.21 4.0008
4/19/2018 0.32 4.0337
4/18/2018 0.31 4.0273
4/17/2018 0.29 4.027
4/16/2018 0.29 4.0034
4/13/2018 0.26 4.002
4/12/2018 0.30 4.0086
4/11/2018 0.29 4.0014
4/10/2018 0.20 4.0103
4/9/2018 0.20 3.9883
4/6/2018 0.22 3.9831
4/5/2018 0.22 3.9706
4/4/2018 0.24 3.9257
4/3/2018 0.25 3.9256
4/2/2018 0.25 3.9074
3/29/2018 0.25 3.9089
3/28/2018 0.23 3.9226
3/27/2018 0.20 3.9512
3/26/2018 0.20 3.8993
3/23/2018 0.30 3.8555
3/22/2018 0.26 3.8589
3/21/2018 0.26 3.8433
3/20/2018 0.28 3.8485
3/19/2018 0.29 3.8381
3/16/2018 0.37 3.8258
3/15/2018 0.35 3.8153
3/14/2018 0.35 3.8178
3/13/2018 0.26 3.8303
3/12/2018 0.26 3.8173
3/9/2018 0.30 3.8222
3/8/2018 0.40 3.8246
3/7/2018 0.42 3.8129
3/6/2018 0.42 3.8004
3/5/2018 0.40 3.7867
3/2/2018 0.40 3.7991
3/1/2018 0.40 3.7964
2/28/2018 0.40 3.7836
2/27/2018 0.40 3.7879
2/26/2018 0.40 3.779
2/23/2018 0.40 3.7745
2/22/2018 0.42 3.7715
2/21/2018 0.42 3.7608
2/20/2018 0.42 3.7696
2/16/2018 0.45 3.7707
2/15/2018 0.47 3.7555
2/14/2018 0.40 3.7567
2/13/2018 0.35 3.7669
2/12/2018 0.35 3.7576
2/9/2018 0.30 3.7793
2/8/2018 0.15 3.7537
2/7/2018 0.35 3.7477
2/6/2018 0.38 3.7477
2/5/2018 0.37 3.7549
2/2/2018 0.35 3.7697
2/1/2018 0.36 3.7865
1/31/2018 0.45 3.7859
1/30/2018 0.37 3.7711
1/29/2018 0.32 3.7796
1/26/2018 0.27 3.7697
1/25/2018 0.37 3.7466
1/24/2018 0.35 3.7388
1/23/2018 0.32 3.7452
1/22/2018 0.35 3.711
1/19/2018 0.35 3.7106
1/18/2018 0.35 3.7052
1/17/2018 0.35 3.6929
1/16/2018 0.33 3.6974
1/12/2018 0.32 3.7007
1/11/2018 0.30 3.696
1/10/2018 0.30 3.6909
1/9/2018 0.30 3.689
1/8/2018 0.31 3.6739
1/5/2018 0.30 3.6835
1/4/2018 0.44 3.6572
1/3/2018 0.44 3.6695
1/2/2018 0.44 3.6752
12/29/2017 0.50 3.6757
12/28/2017 0.46 3.6806
12/27/2017 0.46 3.6886
12/26/2017 0.45 3.6823
12/22/2017 0.45 3.6887
12/21/2017 0.45 3.6933
12/20/2017 0.45 3.6982
12/19/2017 0.45 3.6957
12/18/2017 0.45 3.6838
12/15/2017 0.45 3.6723
12/14/2017 0.45 3.6779
12/13/2017 0.44 3.6782
12/12/2017 0.42 3.6848
12/11/2017 0.45 3.6713
12/8/2017 0.45 3.6559
12/7/2017 0.50 3.6576
12/6/2017 0.45 3.6668
12/5/2017 0.45 3.6621
12/4/2017 0.45 3.647
12/1/2017 0.45 3.6391
11/30/2017 0.46 3.6492
11/29/2017 0.45 3.6512
11/28/2017 0.48 3.6433
11/27/2017 0.50 3.6293
11/24/2017 0.50 3.6297
11/22/2017 0.52 3.6201
11/21/2017 0.52 3.6159
11/20/2017 0.59 3.6175
11/17/2017 0.52 3.6198
11/16/2017 0.51 3.6142
11/15/2017 0.51 3.6186
11/14/2017 0.45 3.6081
11/13/2017 0.40 3.6235
11/10/2017 0.40 3.6194
11/9/2017 0.40 3.6173
11/8/2017 0.45 3.6164
11/7/2017 0.41 3.6089
11/6/2017 0.38 3.6179
11/3/2017 0.40 3.6172
11/2/2017 0.45 3.6132
11/1/2017 0.45 3.6085
10/31/2017 0.52 3.6147
10/30/2017 0.55 3.6001
10/27/2017 0.52 3.6061
10/26/2017 0.54 3.6126
10/25/2017 0.57 3.6061
10/24/2017 0.52 3.6005
10/23/2017 0.52 3.5932
10/20/2017 0.52 3.5924
10/19/2017 0.54 3.6047
10/18/2017 0.51 3.598
10/17/2017 0.55 3.5947
10/16/2017 0.55 3.5944
10/13/2017 0.50 3.6072
10/12/2017 0.58 3.5914
10/11/2017 0.60 3.5835
10/10/2017 0.60 3.5972
10/9/2017 0.59 3.5932
10/6/2017 0.50 3.594
10/5/2017 0.65 3.5872
10/4/2017 0.60 3.5894
10/3/2017 0.60 3.5905
10/2/2017 0.62 3.5935
9/29/2017 0.65 3.6052
9/28/2017 0.65 3.6094
9/27/2017 0.58 3.6057
9/26/2017 0.65 3.61
9/25/2017 0.62 3.5952
9/22/2017 0.59 3.5977
9/21/2017 0.50 3.6109
9/20/2017 0.55 3.6113
9/19/2017 0.55 3.6063
9/18/2017 0.52 3.6045
9/15/2017 0.59 3.5936
9/14/2017 0.59 3.5959
9/13/2017 0.55 3.5874
9/12/2017 0.60 3.5956
9/11/2017 0.60 3.5906
9/8/2017 0.60 3.5726
9/7/2017 0.50 3.591
9/6/2017 0.55 3.6046
9/5/2017 0.61 3.6019
9/1/2017 0.67 3.6015
8/31/2017 0.68 3.5876
8/30/2017 0.50 3.5801
8/29/2017 0.60 3.5925
8/28/2017 0.69 3.5842
8/25/2017 0.65 3.5645
8/24/2017 0.71 3.5655
8/23/2017 0.66 3.5584
8/22/2017 0.60 3.5634
8/21/2017 0.60 3.5623
8/18/2017 0.50 3.5645
8/17/2017 0.50 3.5648
8/16/2017 0.50 3.5446
8/15/2017 0.50 3.542
8/14/2017 0.43 3.543
8/11/2017 0.50 3.5643
8/10/2017 0.50 3.5477
8/9/2017 0.48 3.5555
8/8/2017 0.48 3.5531
8/7/2017 0.39 3.5437
8/4/2017 0.48 3.5333
8/3/2017 0.50 3.548
8/2/2017 0.50 3.5415
8/1/2017 0.50 3.5381
7/31/2017 0.50 3.5367
7/28/2017 0.49 3.5225
7/27/2017 0.41 3.529
7/26/2017 0.50 3.5382
7/25/2017 0.50 3.5342
7/24/2017 0.50 3.5323
7/21/2017 0.41 3.5327
7/20/2017 0.41 3.5373
7/19/2017 0.51 3.5289
7/18/2017 0.60 3.5282
7/17/2017 0.60 3.535
7/14/2017 0.60 3.5421
7/13/2017 0.60 3.5331
7/12/2017 0.64 3.5449
7/11/2017 0.60 3.5289
7/10/2017 0.60 3.5428
7/7/2017 0.60 3.5439
7/6/2017 0.60 3.5287
7/5/2017 0.60 3.5316
7/3/2017 0.65 3.5287

Use the data above:

How does a 1% change in the exchange rate for the Brazilian real affect the price of the stock?

Is the relationship between the changes in the value of the real and returns on the stock statistically significant? Explain how you determine this

If an investor owning stock in the company were to hedge the real related risk of the stock perfectly, how much lower would the risk of the investment be? (That is, how much lower would the volatility of the stock be after hedging real related risk?

When the value of the real increases, how does the stock price change?

In: Finance

This is the third time I've posted this... please answer it. 1. Use the data from...

This is the third time I've posted this... please answer it.

1. Use the data from the file economic risk attached to answer the following:

a. How does a 1% change in the exchange rate for the Brazilian real affect the price of the stock?

b. Is the relationship between the changes in the value of the real and returns on the stock statistically significant? Explain how you determine this.

c. If an investor owning stock in the company were to hedge the real related risk of the stock perfectly, how much lower would the risk of the investment be? (That is, how much lower would the volatility of the stock be after hedging real related risk?)

d. When the value of the real increases, how does the stock price change?

Here is the info you need to answer the quetions:

Date Stock price USD/BRL
6/29/2018 0.20 3.9742
6/28/2018 0.25 3.9729
6/27/2018 0.25 3.9732
6/26/2018 0.25 3.9674
6/25/2018 0.23 3.9622
6/22/2018 0.31 3.9692
6/21/2018 0.21 3.9775
6/20/2018 0.22 3.9656
6/19/2018 0.21 3.9601
6/18/2018 0.21 3.9729
6/15/2018 0.34 3.9659
6/14/2018 0.30 3.9683
6/13/2018 0.34 3.9544
6/12/2018 0.34 3.9642
6/11/2018 0.34 3.9637
6/8/2018 0.30 3.9626
6/7/2018 0.29 3.9692
6/6/2018 0.29 3.974
6/5/2018 0.29 3.9746
6/4/2018 0.30 3.9637
6/1/2018 0.35 3.9691
5/31/2018 0.40 3.9557
5/30/2018 0.35 3.9689
5/29/2018 0.35 3.9655
5/25/2018 0.27 3.9784
5/24/2018 0.29 3.9719
5/23/2018 0.15 3.9806
5/22/2018 0.15 3.9684
5/21/2018 0.20 3.9657
5/18/2018 0.20 3.9696
5/17/2018 0.12 3.9888
5/16/2018 0.14 3.9818
5/15/2018 0.14 3.9788
5/14/2018 0.14 3.9842
5/11/2018 0.16 3.9602
5/10/2018 0.20 3.9664
5/9/2018 0.20 3.9871
5/8/2018 0.21 4.0172
5/7/2018 0.19 4.0132
5/4/2018 0.22 3.9843
5/3/2018 0.16 3.996
5/2/2018 0.24 3.9686
5/1/2018 0.24 4.0009
4/30/2018 0.24 4.0153
4/27/2018 0.21 4.023
4/26/2018 0.25 4.0131
4/25/2018 0.29 4.0189
4/24/2018 0.29 4.0083
4/23/2018 0.21 4.0012
4/20/2018 0.21 4.0105
4/19/2018 0.32 4.0209
4/18/2018 0.31 4.0337
4/17/2018 0.29 4.014
4/16/2018 0.29 4.0116
4/13/2018 0.26 4.0126
4/12/2018 0.30 4.0153
4/11/2018 0.29 3.9991
4/10/2018 0.20 4.0006
4/9/2018 0.20 4.0029
4/6/2018 0.22 3.9928
4/5/2018 0.22 3.9716
4/4/2018 0.24 3.9297
4/3/2018 0.25 3.921
4/2/2018 0.25 3.9146
3/29/2018 0.25 3.8996
3/28/2018 0.23 3.9273
3/27/2018 0.20 3.944
3/26/2018 0.20 3.901
3/23/2018 0.30 3.8699
3/22/2018 0.26 3.851
3/21/2018 0.26 3.8451
3/20/2018 0.28 3.8515
3/19/2018 0.29 3.8456
3/16/2018 0.37 3.826
3/15/2018 0.35 3.8154
3/14/2018 0.35 3.8156
3/13/2018 0.26 3.8193
3/12/2018 0.26 3.8152
3/9/2018 0.30 3.8273
3/8/2018 0.40 3.8156
3/7/2018 0.42 3.8078
3/6/2018 0.42 3.8054
3/5/2018 0.40 3.7966
3/2/2018 0.40 3.8027
3/1/2018 0.40 3.7896
2/28/2018 0.40 3.778
2/27/2018 0.40 3.7903
2/26/2018 0.40 3.783
2/23/2018 0.40 3.7788
2/22/2018 0.42 3.7689
2/21/2018 0.42 3.7678
2/20/2018 0.42 3.7573
2/16/2018 0.45 3.756
2/15/2018 0.47 3.7637
2/14/2018 0.40 3.7538
2/13/2018 0.35 3.7684
2/12/2018 0.35 3.755
2/9/2018 0.30 3.7708
2/8/2018 0.15 3.7602
2/7/2018 0.35 3.7559
2/6/2018 0.38 3.7416
2/5/2018 0.37 3.7414
2/2/2018 0.35 3.7612
2/1/2018 0.36 3.7834
1/31/2018 0.45 3.7689
1/30/2018 0.37 3.7682
1/29/2018 0.32 3.7652
1/26/2018 0.27 3.7637
1/25/2018 0.37 3.761
1/24/2018 0.35 3.7447
1/23/2018 0.32 3.7452
1/22/2018 0.35 3.701
1/19/2018 0.35 3.7058
1/18/2018 0.35 3.7083
1/17/2018 0.35 3.6991
1/16/2018 0.33 3.7002
1/12/2018 0.32 3.6999
1/11/2018 0.30 3.6923
1/10/2018 0.30 3.6777
1/9/2018 0.30 3.6823
1/8/2018 0.31 3.6695
1/5/2018 0.30 3.6797
1/4/2018 0.44 3.672
1/3/2018 0.44 3.6827
1/2/2018 0.44 3.6864
12/29/2017 0.50 3.6859
12/28/2017 0.46 3.6857
12/27/2017 0.46 3.6847
12/26/2017 0.45 3.689
12/22/2017 0.45 3.6799
12/21/2017 0.45 3.6853
12/20/2017 0.45 3.6958
12/19/2017 0.45 3.6807
12/18/2017 0.45 3.6817
12/15/2017 0.45 3.6686
12/14/2017 0.45 3.6713
12/13/2017 0.44 3.6794
12/12/2017 0.42 3.6893
12/11/2017 0.45 3.6677
12/8/2017 0.45 3.6541
12/7/2017 0.50 3.6575
12/6/2017 0.45 3.6668
12/5/2017 0.45 3.656
12/4/2017 0.45 3.6443
12/1/2017 0.45 3.6356
11/30/2017 0.46 3.6381
11/29/2017 0.45 3.6435
11/28/2017 0.48 3.6304
11/27/2017 0.50 3.6214
11/24/2017 0.50 3.6244
11/22/2017 0.52 3.6281
11/21/2017 0.52 3.6141
11/20/2017 0.59 3.6236
11/17/2017 0.52 3.6129
11/16/2017 0.51 3.6198
11/15/2017 0.51 3.6203
11/14/2017 0.45 3.6093
11/13/2017 0.40 3.6173
11/10/2017 0.40 3.6208
11/9/2017 0.40 3.6019
11/8/2017 0.45 3.6148
11/7/2017 0.41 3.6199
11/6/2017 0.38 3.6209
11/3/2017 0.40 3.6198
11/2/2017 0.45 3.6078
11/1/2017 0.45 3.6016
10/31/2017 0.52 3.6146
10/30/2017 0.55 3.6024
10/27/2017 0.52 3.6163
10/26/2017 0.54 3.5964
10/25/2017 0.57 3.6004
10/24/2017 0.52 3.6051
10/23/2017 0.52 3.6091
10/20/2017 0.52 3.6037
10/19/2017 0.54 3.5936
10/18/2017 0.51 3.5988
10/17/2017 0.55 3.611
10/16/2017 0.55 3.6113
10/13/2017 0.50 3.5971
10/12/2017 0.58 3.5892
10/11/2017 0.60 3.5969
10/10/2017 0.60 3.5844
10/9/2017 0.59 3.6041
10/6/2017 0.50 3.5925
10/5/2017 0.65 3.5947
10/4/2017 0.60 3.5924
10/3/2017 0.60 3.5929
10/2/2017 0.62 3.5991
9/29/2017 0.65 3.6054
9/28/2017 0.65 3.6096
9/27/2017 0.58 3.5957
9/26/2017 0.65 3.6092
9/25/2017 0.62 3.6046
9/22/2017 0.59 3.6035
9/21/2017 0.50 3.6033
9/20/2017 0.55 3.6096
9/19/2017 0.55 3.6012
9/18/2017 0.52 3.5988
9/15/2017 0.59 3.5954
9/14/2017 0.59 3.5984
9/13/2017 0.55 3.5938
9/12/2017 0.60 3.5849
9/11/2017 0.60 3.5895
9/8/2017 0.60 3.5813
9/7/2017 0.50 3.594
9/6/2017 0.55 3.6055
9/5/2017 0.61 3.5887
9/1/2017 0.67 3.6029
8/31/2017 0.68 3.5862
8/30/2017 0.50 3.5875
8/29/2017 0.60 3.5849
8/28/2017 0.69 3.5784
8/25/2017 0.65 3.5778
8/24/2017 0.71 3.5739
8/23/2017 0.66 3.5681
8/22/2017 0.60 3.5598
8/21/2017 0.60 3.5658
8/18/2017 0.50 3.5528
8/17/2017 0.50 3.5566
8/16/2017 0.50 3.5538
8/15/2017 0.50 3.5435
8/14/2017 0.43 3.5511
8/11/2017 0.50 3.5572
8/10/2017 0.50 3.5547
8/9/2017 0.48 3.5558
8/8/2017 0.48 3.5393
8/7/2017 0.39 3.5331
8/4/2017 0.48 3.5494
8/3/2017 0.50 3.5313
8/2/2017 0.50 3.5422
8/1/2017 0.50 3.548
7/31/2017 0.50 3.529
7/28/2017 0.49 3.5218
7/27/2017 0.41 3.536
7/26/2017 0.50 3.5369
7/25/2017 0.50 3.5377
7/24/2017 0.50 3.5304
7/21/2017 0.41 3.5295
7/20/2017 0.41 3.5254
7/19/2017 0.51 3.5389
7/18/2017 0.60 3.5229
7/17/2017 0.60 3.5337
7/14/2017 0.60 3.5409
7/13/2017 0.60 3.5352
7/12/2017 0.64 3.5463
7/11/2017 0.60 3.5426
7/10/2017 0.60 3.5473
7/7/2017 0.60 3.5387
7/6/2017 0.60 3.5407
7/5/2017 0.60 3.5388
7/3/2017 0.65 3.542

In: Finance

20] The annual financial statements of Hunter Ltd for the financial years ended 31 December2018 and...

20]

The annual financial statements of Hunter Ltd for the financial years ended 31 December2018 and 2019 are presented below.

Hunter Limited

Statement of profit or loss and other comprehensive income for the year ended 31 December 2019

2019

R

2018

R

Revenue from sales

540 000

480 000

Cost of Sales

(360 000)

(318 000)

Opening Inventory

42 000

30 000

Purchases

390 000

330 000

Goods available for sale

432 000

360 000

Closing Inventory

(72 000)

(42 000)

Gross Profit

180 000

162 000

Selling and distribution expenses

(37 000)

(36 000)

Administration expenses

(72 000)

(54 000)

Interest on loan

(3 000)

(3 000)

Profit before taxation

68 000

69 000

Taxation paid

(20 400)

(20 700)

Profit for the year

47 600

48 300

Other comprehensive income

Nil

Nil

Total comprehensive income for the year

47 600

48 300

Hunter Limited

Statement of changes in equity for the year ended 31 December 2019

Ordinary Share capital

Retained earnings

Preference share capital

Total

Balance at 1 January 2018

120 000

12 000

60 000

192 000

Total comprehensive income

-

48 300

-

48 300

Preference dividends paid

-

(6 000)

-

(6 000)

Ordinary dividends declared

-

(24 000)

-

(24 000)

Balance at 31 December 2018

120 000

30 300

60 000

210 300

Total comprehensive income

-

47 600

-

47 600

Preference dividends paid

-

(6 000)

-

(6 000)

Ordinary dividends declared

-

(15 000)

-

(15 000)

Balance at 31 December 2019

120 000

56 900

60 000

236 900

Hunter Limited

Statement of financial position as at 31 December 2019  

R R     

Note

2019

2018

Non-current assets

258 000

264 000

Property, plant and equipment

1

258 000

264 000

Current assets

257 000

111 000

Inventory

72 000

42 000

Trade Debtors

182 000

60 000

Bank

3 000

9 000

515 000

375 000

Equity

236 900

210 300

Share capital

2

120 000

120 000

Retained earnings

56 900

30 300

Preference share capital

2

60 000

60 000

Non-current liabilities

60 000

60 000

5 % Debentures

60 000

60 000

Current liabilities

218 100

104 700

Trade Creditors

182 700

60 000

Taxation payable

20 400

20 700

Shareholders for dividends

15 000

24 000

515 000

375 000

Additional Information and Notes:

(1) All purchases and sales are made on credit terms.

(2) Trade debtors at 31 December 2017 amounted to R140 000.

Required:

Using the information provided above evaluate the company’s performance and position using financial ratio analysis.

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A random survey of 2000 people is made & 900 responded affirmatively (so p = 0.45)....

A random survey of 2000 people is made & 900 responded affirmatively (so p = 0.45). Build & interpret a 95% confidence interval.

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