Matt needs to borrow money to go to college. He has been granted a student loan of $7000. When is school, he actually only needed $6000. He has two options for paying it back. The great news about student loans is that interest does not calculate until he finishes school. What should be choose and why? • Option A: Pay back $1000 extra before the interest starts. Pay back the $6000 loan over 3 years at 5.2% interest compounded annually by making monthly payments. • Option B: Use the extra $1000 to help buy a car. Pay back the entire student loan over 4 years at 5.2% interest compounded annually by making monthly payments.

The table below gives the number of hours spent unsupervised each day as well as the overall grade averages for seven randomly selected middle school students. Using this data, consider the equation of the regression line, yˆ=b0+b1xy^=b0+b1x, for predicting the overall grade average for a middle school student based on the number of hours spent unsupervised each day. Keep in mind, the correlation coefficient may or may not be statistically significant for the data given. Remember, in practice, it would not be appropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant.

Think about how your school (or workplace) can become a more culturally sensitive place for students (or employees) from different backgrounds. How can you help everyone feel more welcomed? Develop a list of at least five suggestions to improve cultural acceptance. Explain how you would implement each suggestion at your school (or workplace). You are encouraged to conduct research and reference the textbook to help you generate ideas, however, your ideas must be original. At the end of your list of suggestions, write two paragraphs explaining what you learned from completing this assignment and how you can incorporate some of these suggestions in your major field of study of Online Teaching and Learning.

ET574 Dictionary (Chapter 6)

1) Create a dictionary containing the following pieces of information about a student:
Her name is Emmylou; She is on track to graduate in Fall 2021; Her bill is paid; Her major is Archeology; She belongs to these school clubs – Photography, Acting and Glee

(Your job as the programmer is to choose the best data type as well as any key names you will use within the program)

2) Do the same for another student:
His name is Javier; He is on track to graduate in Spring 2021; His bill is unpaid; His major is Math; He belongs to these school clubs – Archery and Acting

3) Create a list whose contents is the dictionaries you created in step 1 & 2.

1. How does the structure of accounting and reporting for a state or local government differ from that of a business?
2. List the types of funds that organize the financial affairs of a government. Look up your state, city, county, or school financial statement and identify two to three funds that fall under each of the categories you listed before. Include a link to the document that you used to answer this question along with stating whether you used a state, city, or school to answer the question.
3. How are the activities of the general fund reported?
4. Does the state, city or county statement you are reviewing this week include general fund balance sheet? If so, what are some of the categories where fund is balanced, like restricted, assigned, committed, etc.?

The table below summarizes baseline characteristics of patients participating in a clinical trial. a) Are there any statistically significant differences in baseline characteristics between treatment groups? Justify your answer.

Is college worth it? Among a simple random sample of 344 American adults who do not have a four-year college degree and are not currently enrolled in school, 166 said they decided not to go to college because they could not afford school.

1. Calculate a 90% confidence interval for the proportion of Americans who decide to not go to college because they cannot afford it, and interpret the interval in context. Round to 4 decimal places.

2. Suppose we wanted the margin of error for the 90% confidence level to be about 2.25%. What is the smallest sample size we could take to achieve this? Note: For consistency's sake, round your z* value to 3 decimal places before calculating the necessary sample size.

choose n=

Charles (age 38) has just died. He has been credited with the last 30 consecutive credits of Social Security coverage in the last 30 quarters since he left school and began full-time employment. He had never worked before leaving school. Which of the following persons are eligible to receive Social Security survivor benefits as a result of Charles’s death?

1. Charles’s child, Bill, age 16

2. Charles’s child, Dawn, age 19

3. Charles’s widow, Maggie, age 38

4. Charles’s dependent mother, Betty, age 60

Group of answer choices

1 only

1, 2 and 4

1 and 2

2, 3 and 4

Fitting Logistic Reegression (depedent varaible(Employed), Independent variables (Age, Race.Ethnicities, Education.Attainment, gender)

dataset

QUESTION 5

In a large midwestern university (the class of entering freshmen is 6000 or more students), an SRS of 100 entering freshmen in 1999 found that 25 finished in the bottom third of their high school class. Admission standards at the university were tightened in 2000. In 2001, an SRS of 100 entering freshmen found that 15 finished in the bottom third of their high school class.

Let p1 and p2 be the proportion of all entering freshmen in 1999 and 2001, respectively, who graduated in the bottom third of their high school class.  

Is there evidence that the proportion of freshmen who graduated in the bottom third of their high school class in 2001 has been reduced, as a result of the tougher admission standards adopted in 2000, compared to the proportion in 1999?

Use this information to make the best match below as it relates to an appropriate significance test.