In the spreadsheet model shown below, an analyst makes the following data entries. Cell B3 B4 B5 B6 Value 110,000 83,000 82,000 92,000 C. 1 Revenue Change (%) n/a =(84-B3)/83 =(B5-B4)/B4 =(86-B5)/B5 2 Month Revenue 3 January 4 February 5 March 6 April
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- Suppose a group of 9 sales price records has been stored as follows: 9, 25, 28, 30, 48, 72, 78, 195, 213 Partition them into three bins then smoothing them by the following methods: Partition into equal-width then smoothing by bin means. Partition into equal-depth then smoothing by bin boundaries.this is not graded !! link to MINST code: https://www.dropbox.com/s/i21pedejv0sknnq/MINST.pdf?dl=0 1) Explain the role of the following degrees of freedom (parameters): i) activation (function), ii) optimizer, iii) loss (function), iv) metric(s), v) epochs, vi) batch size. 2) Add a confusion matrix to the MNIST code example from the link provided. Set the epochs parameter to 5. Explain which entry of the matrix yields the number of ones (the number 1) that are falsely recognized as eights (the number 8). (If you use indices in your explanation, use the Python index notation, i.e., start at zero.) Run your code a few times. Is the confusion matrix always the same? Briefly explain.Correct answer will be upvoted else downvoted. table can be addressed as a square shape with stature h and width w, isolated into h×w cells. Let (i,j) signify the cell in the I-th line and the j-th segment of the square shape (1≤i≤h; 1≤j≤w). Into every cell of the table you can either put a plate or keep it unfilled. As every visitor must be situated close to their plate, you can just put plates on the edge of the table — into the first or the last line of the square shape, or into the first or the last segment. Officially, for every cell (i,j) you put a plate into, no less than one of the accompanying conditions should be fulfilled: i=1, i=h, j=1, j=w. To make the visitors agreeable, no two plates should be placed into cells that have a typical side or corner. All in all, if cell (i,j) contains a plate, you can't place plates into cells (i−1,j), (i,j−1), (i+1,j), (i,j+1), (i−1,j−1), (i−1,j+1), (i+1,j−1), (i+1,j+1). Put whatever number plates on the table as could be…
- The following statement tells the decomposition of the people survived a.k.a column Survived as of 0 (not survived) or 1 (survived). Create a similar statement using groupby function to further breakdown by Sex. In other words, add additional sex dimension. The desired output should be similar to the following: Sex Survided female 0 81 1 233 male 0 468 1 109Name: Survived, dtype: int64 In [16]:implement a D-i-D in this problem. Load the dataset on STATA: use http://www.stata.com/data/jwooldridge/eacsap/jtrain1 This has data on firms and the amount of job training they get. Only use the data from 1987 and 1988. Carefully study the data before you proceed. Construct the D-i-D estimator in different ways: (a) Run the regressionhrsempit = β0 + β1 grant it + β21( year = 1988) + β3Ei + uit where Ei is a dummy variable for being a treatment (i.e. someone who would receive the grant in 1988). (b) Run the fixed effect regression with firm fixed effects θi: hrsempit = θi + β1 grant it + β21( year = 1988) + uit (c) Construct the 4 means of controls and treatments, before and after, and es- timate the difference in difference with means. (d) Do you get exactly the same answer, why or why not? (e) Now include other controls to estimate the D-i-D regression. Justify what- ever you include and interpret. Provide line by line code for STATA and the solutionImplement a D-i-D in this problem. Load the dataset on STATA: use http://www.stata.com/data/jwooldridge/eacsap/jtrain1 This has data on firms and the amount of job training they get. Only use the data from 1987 and 1988. Carefully study the data before you proceed. Construct the D-i-D estimator in different ways: (a) Run the regressionhrsempit = β0 + β1 grant it + β21( year = 1988) + β3Ei + uit where Ei is a dummy variable for being a treatment (i.e. someone who would receive the grant in 1988). (b) Run the fixed effect regression with firm fixed effects θi: hrsempit = θi + β1 grant it + β21( year = 1988) + uit (c) Construct the 4 means of controls and treatments, before and after, and es- timate the difference in difference with means. (d) Do you get exactly the same answer, why or why not? (e) Now include other controls to estimate the D-i-D regression. Justify what- ever you include and interpret.
- Consider printing neatly the silly text “This week has seven dates in it ok” in a column with width M = 11. This is represented as the printing neatly instance M;l1, ... , ln=11; 4, 4, 3, 5, 5, 2, 2, 2. (a) Fill in the birdAdvice[0..n] and cost[0..n] tables for this example. The original instance, its solution, and its cost are in the bottom row.(b) When filling in this last row, give solutions and costs associated with each of the possible bird answers. explain in detailOperating sys :In the following producer and consumer problem using semaphores, explain with an example (semaphore values), how a producer sends a signal to a consumer, so that the consumer does not have to check the buffer all the time. /*program, Producer/Consumer */ semaphore n = 0; /* no of items in the buffer */ semaphore s = 1; /* ME semaphore */ void Producer () { while(TRUE) { produce(); wait(s); append(); signal(s); signal(n); } } void Consumer () { while(TRUE) { wait(n); wait(s); take(); signal(s); consume(); } }Consider the following database instance. Table name: Students Primary key: sid Sid sname 7 Ricky 2 Ellen 6 MaryLou 4 Ellen Table name: Courses Primary key: cid cid cname 1 ICS 2 Finance Table name: Register Primary key: sid,cid Foreign key: sid references Students(sid) Foreign key: cid references Courses(cid) sid cid 7 2 2 2 7 1 4 1 5.1) For each of the following statements, show whether the statement is correctly executed or not (assume that the statements are executed in order, which means that if a statement is correctly executed, its effect is reflected in the following statement). If you say the statement is not executed, explain why. INSERT INTO Students VALUES (3, ‘Ellen’); INSERT INTO Students VALUES (6, ‘Ellen’); INSERT INTO Register VALUES (1, 2); INSERT INTO Courses VALUES (5, ‘Systems’); INSERT INTO Register VALUES (6, 5); INSERT INTO Register…
- Consider the following database instance. Table name: Students Primary key: sid Sid sname 7 Ricky 2 Ellen 6 MaryLou 4 Ellen Table name: Courses Primary key: cid cid cname 1 ICS 2 Finance Table name: Register Primary key: sid,cid Foreign key: sid references Students(sid) Foreign key: cid references Courses(cid) sid cid 7 2 2 2 7 1 4 1 5.1) For each of the following statements, show whether the statement is correctly executed or not (assume that the statements are executed in order, which means that if a statement is correctly executed, its effect is reflected in the following statement). If you say the statement is not executed, explain why. INSERT INTO Students VALUES (3, ‘Ellen’); INSERT INTO Students VALUES (6, ‘Ellen’); INSERT INTO Register VALUES (1, 2); INSERT INTO Courses VALUES (5, ‘Systems’); INSERT INTO Register VALUES (6, 5); INSERT INTO Register…Consider printing the ridiculous text "This week has seven days in it, okay" neatly in a column with width M = 11. This is illustrated by the neatly printed example M;l1,..., ln=11; 4, 4, 3, 5, 5, 2, 2, 2. (a) For this case, fill in the birdAdvice[0..n] and cost[0..n] tables. The lowest row contains the initial instance, its solution, and its cost. (b) Fill in the last row with the solutions and costs for each of the potential bird answers. describe in depthConsider printing the ridiculous text "This week has seven days in it, okay" neatly in a column with width M = 11. This is illustrated by the neatly printed example M;l1,..., ln=11; 4, 4, 3, 5, 5, 2, 2, 2. (a) For this case, fill in the birdAdvice[0..n] and cost[0..n] tables. The lowest row contains the initial instance, its solution, and its cost. (b) Fill in the last row with the solutions and costs for each of the potential bird answers. describe in depthGiven the business rule "An employee may have many degrees." Suppose that an employee has the following degrees. BA, BS, MBA, etc. These degrees could be stored in a single string as a multivalued attribute name EMP_DEGREE in an EMPLOYEE table such as the one shown below: EMP_NUM EMP_LNAME EMP_DEGREE 123 Carter BA, BS, MBA 124 Smith BBA, MBA 125 Jones AS 126 Doe BS, MS, PhD. This design is flawed, so correct it by creating additional table(s) and attributes(s) and show the relationships between them. Show all the data above in your table(s). Add additional data if new attributes were added. Show primary and foreign keys in your table(s).