Political parties want to know what groups of people support them. The General Social Survey (GSS) asked its 2014 sample, "Generally speaking, do you usually think of yourself as a Republican, Democrat, Independent, or what?" The GSS is essentially an SRS of American adults. Here is a large two-way tale breaking down the responses by the highest degree the subject held:

1. Make a 2x5 table by combining the counts in the three rows that mention Democrats, Republicans and ignoring strict independents and supporters of other parties. We might think of this table as comparing all adults who lean Democrat or Republican. How does support for the two major parties differ among adults with different levels of education?

2. Use the full table to analyze the differences in political party support among levels of education. The sample is so large that the differences are bound to be highly significant. but give the χ2χ2 test statistic and p-value nonetheless. The main challenge is in seeing what the data say. Does the full table yield any insights not found in the compressed table analyzed in part 1?

Political parties want to know what groups of people support them. The General Social Survey (GSS) asked its 2014 sample, "Generally speaking, do you usually think of yourself as a Republican, Democrat, Independent, or what?" The GSS is essentially an SRS of American adults. Here is a large two-way tale breaking down the responses by the highest degree the subject held:

1. Make a 2x5 table by combining the counts in the three rows that mention Democrats, Republicans and ignoring strict independents and supporters of other parties. We might think of this table as comparing all adults who lean Democrat or Republican. How does does support for the two major parties differ among adults with different levels of education?

2. Use the full table to analyze the differences in political party support among levels of education. The sample is so large that the differences are bound to be highly significant. but give the χ2χ2 test statistic and p-value nonetheless. The main challenge is in seeing what the data say. Does the full table yield any insights not found in the compressed table analyzed in part 1?

I would like to know what factors influence the annual income of a person. What are some of the variables you will look for? How would you collect data on these variables? Is the data qualitative or quantitative? Remember that for each person you find the income of, you should be able to identify the value of the variable you mention above, in order to run a regression. For example, you can say annual income depends on Education. If you think of education as a qualitative variable, one value of the variable "education" may be "Undergraduate degree". You could also think of Education as a quantitative variable in which case, one value of the variable could be 10 years of education, and so on. Another example is character. You could say income depends on the character or personality type. But this variable is going to be hard to measure and hence "useless" in predicting income. So, come up with variables that you can actually collect data on.

Let's say I run a regression with income as the dependent variable and race as the independent variable. My results indicate that race is a "significant" variable. Then, I run another regression, again with income as the dependent variable. But this time with both race and education as the independent variables. My results now indicate that race is NOT a "significant" variable, but education is a significant variable. What is your conclusion from these results I obtained? What will be your next step? Does Race really affect income, or it has no influence? Each regression suggests one way or the other. So, are regressions even reliable?

please do not use any other chegg answers. in own words thank you

Political parties want to know what groups of people support them. The General Social Survey (GSS) asked its 2014 sample, "Generally speaking, do you usually think of yourself as a Republican, Democrat, Independent, or what?" The GSS is essentially an SRS of American adults. Here is a large two-way tale breaking down the responses by the highest degree the subject held:

1. Make a 2x5 table by combining the counts in the three rows that mention Democrats, Republicans and ignoring strict independents and supporters of other parties. We might think of this table as comparing all adults who lean Democrat or Republican. How does does support for the two major parties differ among adults with different levels of education?

2. Use the full table to analyze the differences in political party support among levels of education. The sample is so large that the differences are bound to be highly significant. but give the χ2χ2 test statistic and p-value nonetheless. The main challenge is in seeing what the data say. Does the full table yield any insights not found in the compressed table analyzed in part 1?

Case Study:

Retirement can’t come soon enough for Dylan Rainelli. After 35 years of selling specialized agriculture equipment to the region’s custom harvesters, he’s ready to spend his days in fishing on Burr Lake.

Dylan’s handled many large and high-dollar accounts throughout his years at Red Star Farm Equipment, but none larger than his account with Matlock Harvesting. Matlock Harvesting is a full-service custom harvesting company whose clients span the entire Midwest. Matlock’s equipment replacement cycle yields Red Star Farm Equipment 10 million annually-- all brokered by Dylan. Dylan believes the experience he has gained throughout his career and his commitment to servicing his accounts has been an important factor in keeping loyal customers - especially Matlock Harvesting. It’s important to Red Star Farm Equipment that Dylan’s successor provide this same level of commitment to these accounts as well.

Red Star Farm Equipment recently participated in a Penn State Career Fair with the goal of finding upcoming graduates to fill several positions in various departments within their company. You are well aware of the experience a sales career with Red Star Farm Equipment can provide and are excited to meet with their representatives. After the Career Fair, you receive an official interview at the company headquarters. They mention you are being considered as Dylan’s replacement and stress the importance and value that his accounts are to the company. You are asked two questions that you know will make or break the interview: what steps you will take to maintain these accounts? How will you continue to keep these accounts as long-term clients? How do you respond?

In the game of Lucky Sevens, the player rolls a pair of dice. If the dots add up to 7, the player wins $4; otherwise, the player loses $1. Suppose that, to entice the gullible, a casino tells players that there are many ways to win: (1, 6), (2, 5), and soon. A little mathematical analysis reveals that there are not enough ways to win to make the game worthwhile; however, because many people's eyes glaze over at the first mention of mathematics “wins $4”.

      Your challenge is to write a program that demonstrates the futility of playing the game. Your Python program should take as input the amount of money that the player wants to put into the pot, and play the game until the pot is empty.

            The program should have at least TWO functions (Input validation and Sum of the dots of user’s two dice). Like the program 1, your code should be user-friendly and able to handle all possible user input. The game should be able to allow a user to ply as many times as she/he wants.

            The program should print a table as following:

      Number of rolls             Win or Loss                Current value of the pot

                              1                                 Put                                   $10

                    2                                           Win                                  $14

                    3                                           Loss                                 $11

                              4

                              ##                              Loss                                 $0

        You lost your money after ## rolls of play.

        The maximum amount of money in the pot during the playing is $##.

        Do you want to play again?

      At that point the player’s pot is empty (the Current value of the pot is zero), the program should display the number of rolls it took to break the player, as well as maximum amount of money in the pot during the playing.

        Again, add good comments to your program.

        Test your program with $5, $10 and $20.

please be inform that the formula used and process of how each number have been get must be mention

Short term decision making  

Shot plc manufactures three types of furniture products - chairs, stools and tables. The budgeted unit cost and resource requirements of each of these items are detailed below:

These volumes are believed to equal the market demand for these products. The fixed overhead costs are attributed to the three products on the basis of direct labour hours. The labour rate is $4.00 per hour. The cost of timber is $2.00 per square metre. The products are made from a specialist timber. A memo from the purchasing manager advises you that because of a problem with the supplier it is to be assumed that this specialist timber is limited in supply to 20,000 square metres per annum.

The sales director has already accepted an order for 500 chairs, 100 stools and 150 tables, which if not supplied would incur a financial penalty of $2,000. These quantities are included in the market demand estimates above. The selling prices per unit of the three products are:

-

Chair $20.00

Stool $50.00 Table $40.00

Required:

1. Determine the optimum production plan and state the net profit that this should yield per annum.                                                                                                           
2. Discuss one qualitative factor that you should consider (especially in the long term) in your decision in part (a).                                                                              

Consider the following relation schema about project meetings:

PMG(projID, title, type, manager, jobID, start-date, end-date, contractor, contractNo)

Some notes on the semantics of attributes are as follows:
• Each project has a unique project ID (projID) and also has a title, type and manager. Each manager has a specialty project type.
• A project often contracts jobs to contractors with start-date and end-date. Contracts are identified by contract numbers (contractNo), but contract details are out of the scope of the database.

FDs based on business rules are given as follows:
• projID → title, type, manager
• manager → type
• jobID → projID, start-date, end-date, contractor
• projID, title, jobID → contractNo
• contractNo → jobID, contractor, start-date, end-date
• jobID → contractNo

Answer questions below:
2.1. (3 points) The given FDs have redundancies. Give the minimal basis for the given FDs.
2.2. (3 points) The PMG relation is not in BCNF or 3NF. Explain why. Your explanation must be based on the functional dependencies in Question 2.1.
2.3. (3 points) Decompose the PMG relation into relations in BCNF or 3NF. Your decomposition must keep all functional dependencies and must be lossless. For each resultant relation, discuss if it is in BCNF or 3NF and indicate the primary key (underline) and any foreign keys (*). Note that relations must be written in the form as shown in the examples below:
Student(sno, name, address)
Course(cno, title)
Take(sno*, cno*, grade)

Note: Please mention the question numbers clearly before answering the question. (e.g. 2.1 - (then the answer)