Please andwer only 2

You have been contracted by the government of your country to provide recommendations on the regulation of the national textile industry. Currently, the textile industry which resembles features of the perfectly competitive market is completely unregulated. Using the concepts covered in the class, please provide your advice to the problems below.

1. One of the biggest social problems in the textile industry is child labour which, among other things, reduces school attendance. The government is considering two types of interventions and asked you to explain the process through which each of them affects the equilibrium amount of child labour and wages using words (explain the impact on demand and/or quantity demanded, supply, and/or quantity supplied as appropriate) and include well-labelled graphs.

a. Provide rewards for children who attend school [2pt]

b. Impose fines on employers who employ children [2pt]

2. Consider how own price elasticity of labour demand and supply affects the market outcomes for both policies. In addition to writing your answer in words, use well-labelled graphs to support your answer. Please draw new graphs, rather than using those from question 1.

a. How does own price elasticity of demand impact the effects of providing children who attend school with rewards on prices and the amount of child labour? [2pt]

b. How does the elasticity of supply impact the effectiveness of a fine on the employers who employ children? [2pt]

Assume that a hypothesis test of the given claim will be conducted. Identify the type I ( α ) error.

The principal of a school claims that the percentage of students at his school that come from a single-parent home is 6%.

Motherland school is considering to purchase text mining software to analyze unstructured data both in the form of offline and online reports. What are the important factors school should consider while making the decision?

Describe the skills that elementary school-age children develop as they learn to read, comprehend, and write effectively. Describe the skills that elementary school-age children develop as they learn to read, comprehend, and write effectively.

7. Perform an appropriate hypothesis test to determine if there is a significant relationship between a student’s race and the punishment received for talking back to teachers in a school district. Be sure to list all your steps and interpret your findings in no more than two sentences.

2. A researcher wishes to test the claim that there is a difference in the distribution of ages of elementary school, high school, and community college teachers. Teachers are randomly selected from each group. Their ages are recorded below. Can you conclude that the distributions of teachers' ages at these different levels of education are different? Use the Kruskal-Wallis test. Use α = 0.05. Elementary 28,33,32,57,42,30 High school 41,46,43,52,47,36 Comm. College 44,50,41,66,50,40 need work shown

In 1994, 52% of parents with children in high school felt it was a serious problem that high school students were not being taught enough math and science. A recent survey found that 368 of 800 parents with children in high school felt it was a serious problem that high school student were not being taught enough math and science. Do parents feel differently today than they did in 1994?

a. What does making a Type II error for this test mean in context?

b. If the researcher decides to test this hypothesis at the 0.05 level of significance, determine the probability of making a Type II error if the true population proportion is 0.50. What is the power of the test? Sketch the relevant distribution and region.

1. Consider the following set of data relating Distance from School and Time to get to school:

1. Construct a scatter plot for the given data.

2. Does the scatter plot show positive/negative/no correlation? Justify your answer.

3. Find the least-square regression line (Best fit line).

4. If a student lives 6.8 miles away from school, what is her predicted time to get to school?

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e. Is there a linear correlation between the two variables? (Hint: find t-test statistic value)

A researcher is interested in the actions of football fans at tailgate parties. He believes there is some relationship between what they do and their level of education. He does a survey of a group of tailgaters and finds that 19% had less than a high school degree, 60% had a high school diploma, and 21% had a college degree or higher.  

What is the probability that you would select at random a tailgater with a college degree from the group?

What is the probability that you would select at random a tailgater with a college degree or one with less than a high school diploma?

What is the probability that you would select at random 3 tailgaters total - 2 with a college degree and 1 with a high school diploma?

The Following table lists the probabilities of unemployed females and males and their educational attainment.

                                                                   Female Male

Less than High School    .077    .110

High School Graduate    .154                               .201

Some College/University-no degree .141 .129

College/University Graduate                            .092 .096

a) If one unemployed person is selected at random, what is the probability that he or she did not finish high school? Carry answer to the nearest thousandths

b) If an unemployed female is selected at random, what is the probability that she has a college or university degree? Carry answer to the nearest ten-thousandths

c) If an unemployed high school graduate is selected at random, what is the probability that he is a male? Carry answer to the nearest ten-thousandths