1) Why have Americans traditionally been afraid of big government?

2) Why is the government divided into three branches?

3) Name each branch of government and describe its basic functions.

4) Give two specific examples of "checks and balances" between the president and Congress.

5) What are three of the guarantees in the Bill of Rights?

6) What were the roles of government and business from the Civil War to the Great Depression ?

7) What are the traditional differences between Republicans and Democrats regarding government regulation?

8) What was the impact of the Great Depression on the roles of business and governmen

Question 2

Access the most recent Form 10-K (year 2017) for both Exxon Mobil and Chevron and answer the following questions.

Required:

a. Determine whether each company’s foreign operations have a predominant functional currency. Discuss the implication this has for the comparability of financial statements between the two companies.

b. Determine the amount of translation adjustment, if any, reported in other comprehensive income in each of the three most recent years. Explain the sign (positive or negative) of the translation adjustment in each of the three most recent years. Compare the relative magnitude of the translation adjustments between the two companies.

Consider the following data for two variables, x and y.

(a)

Develop an estimated regression equation for the data of the form

ŷ = b₀ + b₁x.

(Round b₀ to one decimal place and b₁ to three decimal places.)

ŷ =

(b)

Use the results from part (a) to test for a significant relationship between x and y. Use α = 0.05.

Find the value of the test statistic. (Round your answer to two decimal places.)

F =

Find the p-value. (Round your answer to three decimal places.)

p-value =

(c)

Develop an estimated regression equation for the data of the form

ŷ = b₀ + b₁x + b₂x².

(Round b₀ to one decimal place and b₁ to two decimal places and b₂ to four decimal places.)

ŷ =

(d)

Use the results from part (d) to test for a significant relationship between

x, x²,

and y. Use α = 0.05. Is the relationship between

x, x²,

and y significant?

Find the value of the test statistic. (Round your answer to two decimal places.)

Find the p-value. (Round your answer to three decimal places.)

p-value =

Is the relationship between

x, x²,

and y significant?

Yes, the relationship is significant. No, the relationship is not significant.    

(e)

Use the model from part (d) to predict the value of y when

x = 25.

(Round your answer to three decimal places.)

In Exercises a-c, test the claim about the difference between two population means μ1 and μ2 at the level of significance α. Assume the samples are random and independent, and the populations are normally distributed.

a. Claim: μ1 = μ2; α = 0.05. Assume

Sample statistics: , X1=228, s1 = 27, n1 = 20 and X2=207, s2 = 25, n2 = 13

b.Claim: μ1 ≤ μ2; α = 0.10. Assume

Sample statistics: , X1=664.5, s1 = 2.4, n1 = 40 and X2=665.5, s2 = 4.1, n2 = 40

c. Claim: μ1 ≥ μ2; α = 0.01. Assume

Sample statistics: X1= 44.5 , s₁ = 5.85, n₁ = 17 and X2= 49.1, s₂ = 5.25, n₂ = 18

In a randomized controlled trial in Kenya, insecticide treated bed nets were tested as a way to reduce malaria. Among 343 infants using bed nets, 15 developed malaria. Among 294 infants not using bed nets, 27 developed malaria (based on data from “Sustainability of Reductions in Malaria Transmission and Infant Mortality in Western Kenya with use of insecticide treated bed nets, Journal of the American Medical Association, Vol. 291, No. 21) a) Construct a 99% confidence interval for the difference in proportions between the two populations. You decide which population is population 1 and which is population 2 b) Based on your results do bed nets appear to be effective?

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?

1

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

The lengths of one-year-old baby girls, in a certain country, can be described using a Normal distribution with a mean of 29 inches and a standard deviation of 1.2 inches. Use this information to answer the below.

a. What is the probability a randomly chosen one-year girl, from this population, is between 27 and 31 inches tall?

b. How tall is a one-year old girl, from this population, who is in the 85th percentile?

c. What is the z-score (standardized score) for a 28 inch tall girl? .

d. Suppose a random sample of 20 one-year old girls is taken from this population. What is the probability that the average height is less than 29 inches?

Americans receive an average of 22 Christmas cards each year. Suppose the number of Christmas cards is normally distributed with a standard deviation of 6. Let X be the number of Christmas cards received by a randomly selected American. Round all answers to 4 decimal places where possible.

a. What is the distribution of X? X ~ N(,)

b. If an American is randomly chosen, find the probability that this American will receive no more than 25 Christmas cards this year.

c. If an American is randomly chosen, find the probability that this American will receive between 24 and 27 Christmas cards this year.

d. 76% of all Americans receive at most how many Christmas cards? (Please enter a whole number)

A trucking company determined that the distance traveled per truck per year is normally​ distributed, with a mean of 40

thousand miles and a standard deviation of 11 thousand miles

c. How many miles will be traveled by at least 65% of the trucks?

1d) If the standard deviation is 7 thousand miles, the proportion of trucks that can be expected to travel between 27 and 40 thousand miles in a year is?

2d) If the standard deviation is 7 thousasnd miles, the percentage of trucks that can be expected to travel either less than 30 or more than 60 thousand miles in a year is x?

3d) If the standard deviation is 7 thousand miles, the number of miles that will be traveled by at least 65% of the trucks is x miles?

Read each problem carefully and clearly show all work.

Indicate calculator functions used (ie T-Test, 2-SampTTest, etc) as well as calculator entries

State your conclusions in terms of the context of the problem.

1. Does the time of day that a class meets affect exam grades? Exam grades for an 8am statistics class and a 3pm statistics class taught by the same professor were compared. The summary data are given in the table below. Assuming both populations are approximately normally distributed, is there a difference between the two classes? Use a significance level of 5%.

      Clearly label the 6 step approach