Question
Dr. Gamble had been teaching PSYC 2021 for years, and always wore a suit to class. His average teaching evaluation across all courses and years was 4.2/5. As Dr. Gamble was preparing for an upcoming PSYC 2021 course (N = 132), he wondered whether his course evaluations would be lower than the average across all of his previous classes if he wore jeans and a t-shirt to every class in the upcoming term. Use null hypothesis testing (all steps) to determine if wearing jeans and a t-shirt will lower Dr. Gamble’s teaching evaluations, relative to the mean of all previous sections of the course. Note that only 59 of the 132 students completed a teaching evaluation. Be sure to appropriately interpret the confidence interval and effect size (even if it is subjective) and include a general summary of the results. Use α = .10. Show excel formula used.

Data Set:

Tombro Industries is in the process of automating one of its plants and developing a flexible manufacturing system. The company is finding it necessary to make many changes in operating procedures. Progress has been slow, particularly in trying to develop new performance measures for the factory.

In an effort to evaluate performance and determine where improvements can be made, management has gathered the following data relating to activities over the last four months:

The president has read in industry journals that throughput time, MCE, and delivery cycle time are important measures of performance, but no one is sure how they are computed. You have been asked to assist the company, and you have gathered the following data relating to these measures:

Required:

1-a. Compute the throughput time for each month.

1-b. Compute the manufacturing cycle efficiency (MCE) for each month.

1-c. Compute the delivery cycle time for each month.

3-a. Refer to the inspection time, process time, and so forth, given for month 4. Assume that in month 5 the inspection time, process time, and so forth, are the same as for month 4, except that the company is able to completely eliminate the queue time during production using Lean Production. Compute the new throughput time and MCE.

3-b. Refer to the inspection time, process time, and so forth, given for month 4. Assume that in month 6 the inspection time, process time, and so forth, are the same as in month 4, except that the company is able to eliminate both the queue time during production and the inspection time using Lean Production. Compute the new throughput time and MCE.

.

Stats I, Item # Q-08

Saleemah, the assistant superintendent in charge of reviewing staffing patterns, is investigating the number of substitute teachers assigned daily to the elementary schools in the district. She ponders whether the numbers vary by school and/or by day of the week. She tests her claims at the 10% significance level, and presumes that the underlying data collection is normally distributed. She gathers independent, simple random samples. The following data represent the numbers of substitute teachers assigned daily to each school during a randomly selected week, cross referenced by school and day of the week:

What are the claims is she testing? What conclusions should she draw? Explain in detail for both factors, both technically and contextually. In particular, if the findings for either one of the two or both factors are especially marginal or strong, please note those results. Cite relevant critical values and p-values that support the findings.

Python

#Remember that Fibonacci's sequence is a sequence of numbers
#where every number is the sum of the previous two numbers.
#
#Joynernacci numbers are similar to Fibonacci numbers, but
#with two differences:
#
# - Fibonacci numbers are famous, Joynernacci numbers are
# not (yet).
# - In Joynernacci numbers, even-indexed numbers are the
# sum of the previous two numbers, while odd-indexed
# numbers are the absolute value of the difference
# between the previous two numbers.
#
#For example: the Joynernacci sequence starts with 1 and 1
#as the numbers at index 1 and 2. 3 is an odd index, so
#the third number would be 0 (1 - 1 = 0). 4 is an even
#index, so the fourth number would be 1 (0 + 1). 5 is an
#odd index, so the fifth number would be 1 (1 - 0). And
#so on.
#
#The first several Joynernacci numbers (and their indices)
#are thus:
#
# 1 1 0 1 1 2 1 3 2 5 3 8 5 13 8 21 13 34 21
# 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19
#
#Write a function called joynernacci that returns the nth
#Joynernacci number. For example:
#
# joynernacci(5) -> 1
# joynernacci(12) -> 8
#
#We recommend implementing joynernacci recursively, but it
#is not required.

#Write your code here!

#Below are some lines of code that will test your function.
#You can change the value of the variable(s) to test your
#function with different inputs.
#
#If your function works correctly, this will originally
#print: 1, then 8
print(joynernacci(5))
print(joynernacci(12))

The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars.

x₁ is the number of architects employed by the company.

x₂ is the number of engineers employed by the company.

x₃ is the number of years involved with health care projects.

x₄ is the number of states in which the firm operates.

x₅ is the percent of the firm’s work that is health care?related.

Write out the regression equation. (Negative answers should be indicated by a minus sign. Round your answers to 3 decimal places.)

How large is the sample? How many independent variables are there?

c-1. At the 0.05 significance level, state the decision rule to test: H₀: ?₁ = ?₂ = ?₃=?₄ = ?₅ = 0; H₁: At least one ? is 0. (Round your answer to 2 decimal places.)

c-2. Compute the value of the F statistic. (Round your answer to 2 decimal places.)

c-3. What is the decision regarding H₀: ?₁ = ?₂ = ?₃ = ?₄ = ?₅ = 0?

d-1. State the decision rule for each independent variable. Use the 0.05 significance level. (Round your answers to 3 decimal places.)

d-2. Compute the value of the test statistic. (Negative answers should be indicated by a minus sign. Round your answers to 3 decimal places.)

d-3. For each variable, make a decision about the hypothesis that the coefficient is equal to zero.

The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars.

x₁ is the number of architects employed by the company.

x₂ is the number of engineers employed by the company.

x₃ is the number of years involved with health care projects.

x₄ is the number of states in which the firm operates.

x₅ is the percent of the firm’s work that is health care?related.

Write out the regression equation. (Negative answers should be indicated by a minus sign. Round your answers to 3 decimal places.)

How large is the sample? How many independent variables are there?

c-1. At the 0.05 significance level, state the decision rule to test: H₀: ?₁ = ?₂ = ?₃=?₄ = ?₅ = 0; H₁: At least one ? is 0. (Round your answer to 2 decimal places.)

c-2. Compute the value of the F statistic. (Round your answer to 2 decimal places.)

c-3. What is the decision regarding H₀: ?₁ = ?₂ = ?₃ = ?₄ = ?₅ = 0?

d-1. State the decision rule for each independent variable. Use the 0.05 significance level. (Round your answers to 3 decimal places.)

d-2. Compute the value of the test statistic. (Negative answers should be indicated by a minus sign. Round your answers to 3 decimal places.)

d-3. For each variable, make a decision about the hypothesis that the coefficient is equal to zero.

The following regression output was obtained from a study of architectural firms. The dependent variable is the total amount of fees in millions of dollars.

x₁ is the number of architects employed by the company.

x₂ is the number of engineers employed by the company.

x₃ is the number of years involved with health care projects.

x₄ is the number of states in which the firm operates.

x₅ is the percent of the firm’s work that is health care?related.

Write out the regression equation. (Negative answers should be indicated by a minus sign. Round your answers to 3 decimal places.)

How large is the sample? How many independent variables are there?

c-2. Compute the value of the F statistic. (Round your answer to 2 decimal places.)

d-1. State the decision rule for each independent variable. Use the 0.05 significance level. (Round your answers to 3 decimal places.)

d-2. Compute the value of the test statistic. (Negative answers should be indicated by a minus sign. Round your answers to 3 decimal places.)

x1not attempted

x2not attempted

x3not attempted

x4not attempted

x5not attempted

d-3. For each variable, make a decision about the hypothesis that the coefficient is equal to zero.

x1not attempted

x2not attempted

x3not attempted

x4not attempted

x5not attempted

Wen-Ching is working to develop a preliminary cost-benefit analysis for a website to support the leasing department at a major university. She developed the following estimates.
Development costs – Personnel
2 Systems Analysts       350 hours each at $80/hour
2 Agile Programmer/testers   350 hours each at $70/hour
1 Web designer           100 hours at $125/hour
1 Telecom specialist       20 hours at $150/hour
1 Database specialist       110 hours at $100/hour
Development costs – Training
2 interactive training seats    $3000/student
Development costs – Hardware and Software
1 Development Server       $2500
8 DBMS client licenses       $250/client
Annual operating costs – Personnel
1 Programmer/analyst       300 hours each at $65/hour
Annual operating costs – Hardware, software, misc.
1 maintenance agreement, server       $995
1 maintenance agreement, DBMS       $525
The benefits of the new system are expected to come from two sources: increased occupancy and ability to charge additional rent due to convenience. The benefit from occupancy is expected to total $30,000 in the first year of the system’s operation, and will grow at a rate of 10% per year. Rental increase is expected to realize $15,000 per year. Assume that personnel costs rise at 4%/year.
Following the model presented in the lecture, develop a spreadsheet that summarizes the project’s cash flow, assuming a four-year payback period after the project is developed.
Following the model presented in the lecture, compute the present value of the cash flows using an interest rate of 4%.
1.   What is the ROI?
2.   What is the break-even point?
3.   What is the NPV for this project?
4.   Should this project be approved?

1. A clinical trial is planned to compare an experimental medication designed to lower blood pressure to a placebo. Before starting the trial, a pilot study is conducted involving 7 participants. The objective of the study is to assess how systolic blood pressure changes over time untreated. Systolic blood pressures are measured at baseline and again 4 weeks later. Is there a statistically significant difference in blood pressures over time? Run the test at a 5% level of significance.

Baseline           120      145      130      160      152      143      126     

4 Weeks           122      142      135      158      155      140      130     

            Difference        -2         3          -5         2          -3         3          -4         S Differences = -6

            Difference²      4          9          25        4          9          9          16        S Differences² = 76

Xd=-0.86 sd=3.44

Step 1.           Set up hypotheses and determine level of significance

Step 2.            Select the appropriate test statistic

Step 3.            Set up decision rule

Step 4.            Compute the test statistic

Step 5.            Conclusion

LABEL EACH OF THE 4 HYPOTHESIS STEPS IN YOUR WORK PLEASE! FOR A 5 STAR RATING

24. New research suggests that watching television especially medical shows such as Grey’s Anatomy and House, can result in increased concern about personal health (Ye, 2010). Surveys administrated to college students measure television viewing habits and health concerns such as fear of developing the diseases and disorders seen on television. For the following data, students are classified into three categories based on their television viewing patterns and health concerns are measured on a 10-point scale with 0 indicating “none”.

a) Use an ANOVA with = .05 to determine whether there are significant mean differences among the three groups.

c) Use Tukey’s HSD test with = .05 to determine which group are significantly different.

1. write a paragraph about how you will avoid procrastination. consider these ideas when thinking about procrastination: fear of failure, fear of success, perfectionism, need for excitement, excellence without effort, and loss of control. how will you complete your assignments on time?2 to 4 paragraphs

2. what is your plan for managing your money? Consider these ideas when thinking about your plan: monitoring how you spend your money, using a budget, applying for financial aid and scholarships, saving money, and spending money wisely. 2-4 paragraphs

Part A: Express the quadratic function in standard form (vertex form). ?(?) = 1 − 12? − 4? 2

Part B: Find the quotient and remainder using synthetic division. ?^4 + 2?^3 − 10? all over ? − 3

Part C: A stone is thrown upward from the top of a building. Its height (in feet) above the ground after t seconds is given by the function ℎ(?) = −16?^2 + 96? + 48. a. What maximum height does the stone reach? Find the maximum height algebraically.

b. How long does it take the stone to hit the ground? Give an exact value.