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This past spring the Texas Legislature met for the 85th time since statehood.

The last two months have been spent evaluating what it accomplished, along with what it didn’t.

I want you to weigh in on this. Using your searching skills, I want you to gather information evaluating what it, and detail what it was able to accomplish – specifically whose interests were served – and what it left for the next session in 2019.

This is largely an open ended assignment, with the one requirement that it be objective. I’m not interested in your personal opinions about it – you don’t learn anything from that. Rather, look at analysis offered by news sources, and others that seem worthwhile. I’ll bug you about this periodically this semester, so start looking for sources right away.

The final product should be at least 1000 words long, documented by at least three sources, follow a standard writing convention such as MLA – or whatever you are comfortable with. It helps if it is written well.

Good luck with it.

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The AB Charity is planning its annual campaign to raise money. This year three alternative methods are being considered: (i) street collections, (ii) a television advertising campaign and (iii) a directmail appeal. After using simulation to assess the risk associated with the alternatives the charity’s managers have opted for a direct-mail appeal. The direct-mail appeal will involve sending out 343 000 letters to selected people. To encourage donation these will include a free ballpoint pen displaying the charity’s logo and people not replying after three weeks will receive a reminder. While the fixed costs of the campaign and the cost of sending out each letter and reminder are known for certain the charity’s managers have had to estimate probability distributions for the following four factors: (a) The percentage of people who will reply to the first letter in the North (N), Central (C) and South (S) regions of the country, respectively. (b) The average donation of those replying to the first letter in each of these regions. (c) The percentage of people who will reply to the reminder in each of the three regions. (d) The average donation of those replying to the reminder in each of the regions. Probability distributions have been estimated for the different regions because their different economic conditions are likely to have a major effect on people’s propensity to donate to the charity. The cumulative probability distribution of net returns (i.e. the total value of donations less the cost of running the direct-mail appeal). It can be seen that there is approximately a 20% probability that the net returns will be negative, causing the charity to lose money. In the simulation the possible losses extended to nearly $150 000. The managers of the charity are keen to take action to reduce this risk, but are not sure where their actions should be directed? The numbers at the ends of the bars show what are thought to be the highest and lowest possible values for each factor. For example, the possible average donation in the North is thought to range from $2 to $17. (a) Identify the areas where risk management is likely to be most effective. (b) Create a set of possible risk management strategies that might reduce the risk of the charity losing money and increase its expected return.

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