Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Provide me a half page response to below discussion post.
Discussion:
To reiterate, my workplace is a College where I work in the admissions department. My daily objective is to enroll students into the school and help them through the enrollment process. Part of our daily activities is to forecast our expected enrollments each day, week and quarter. We in admissions can base our forecasts off of various components to determine accurate numbers. I do think that using decomposition would be appropriate in my field. As I mentioned previously, there are many factors or components that can go into our forecasts. These factors can be based on season, the economic state, government funding/regulations and marketing efforts. Each of these components can increase or decrease demand for higher education by itself. So, if we were to focus on each component individually, we would be able to assess part of our forecast based upon each component. For example, if we look at the various seasons of the year. Our fall term always has a naturally higher number of students inquiring about school. Our summer term has the least. As a college we can better make our forecasts on that component alone, which will better prepare our college for a specific number of enrollments. One challenge by using decomposition is that we may forget to take into consideration other factors. If we make our forecast off of just one of the components, say for example seasonal, we may miss another big component. Let's say our fall term is coming up and we forecast a high number of enrollments. However, the federal government has just cut student funding, which could result in higher expenses for students. If this is the case, then we just forecasted high enrollments because of the season, when in reality the forecast should be much lower due to the affect government funding will have on the enrollment numbers. For longer term forecasting, I do think that decomposition would be applicable. This is the type of forecasting that would be done much higher up in the College than on the ground level of admissions. Directors and managers could plan long term for the college by studying certain components. Trend, government regulations and economic growth can be these components. If the state of the economy is getting better and is projected to get much better in the next 5 years, than as a college we can expect a steady decline in enrollments as the economy grows stronger. I also do think that the seasonally adjusted data would work. In my field, we can definitely see how the seasons affect student enrollments, so this would factor in nicely.
independent-samples t test with spssin your research you may find that you must compare the means of two samples
To compile the record chart it is necessary to know the correct average weekly sale to within 1% of its true value. How large a sample size is required?
The hypothesis is that the average number of customers served per hour is 24 or less against the alternative hypothesis that the mean number of customers waiting is greater than 24.
What is the probability that the mean breaking strength of the 3 untreated specimens is at least 25 pounds greater than the mean strength of the 3 treated specimens?
Differentiate between descriptive statistics and inferential statistics. Provide an example for each. How does correlation analysis differ from regression analysis? What does a correlation coefficient reveal? Is correlation the same as causation?
If you assume returns follow a normal distribution, which investment would give a better chance of getting at least a $40 million return? Explain. (B) How could your answer to part (A) change if you knew returns followed a skewed distribution inst..
Assuming the population variances from both offices are equal, is there evidence of a difference in the mean waiting time between the two offices? Use α = 0.05
A small business owner is experiencing a high staff turnover and wants to design a study to investigate the problem. What is the probability of randomly chosen student scoring at least 60?
Compute the sample variance and the sample standard deviation for these data (to 2 decimals).
Researchers conducted an experiment to measure the effect of a drug on improving the quality of sleep as determined by how many more minutes of REM sleep were measured for each participant.
She has 95% confidence that the mean annual income of the 2 million customers is between $70,000 and $85,000. Explain the meaning of the statement.
The random variable x is known to be uniformly distributed between 70 and 90. The probability of x having a value between 80 to 95 is
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +1-415-670-9521
Phone: +1-415-670-9521
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd