I will attach the instructions along with two example papers. I have chosen a study about nyc housing as my project number 1 topic. Also, I will send you the password and add the datas needed for the project but for now, I have included the data needed in a csv file. Please reach out to me if you need anything.

# Category: Statistics

Instructions

In Milestone Three, you completed a table listing the statistics you were going to complete to investigate your health question. In Milestone Four, you will actually complete these calculations.

To complete this assignment, review the Milestone Four Guidelines and Rubric PDF document.

“Type in njcu black board, my ID is ——- password is ——— go on business statistics, press on content tab and do chapter 3a homework (33 Questions) and chapter 3a Quiz (19 Questions)

NJCU username – 0411750

Password – 485UIGOI5p

I did first five questions in homework section

you can start from 6 till 38

Please provide an example of how you could use statistics either in your personal life or in business to gain insight and make better-informed decisions.

Complete Handout Attached

Read over the chapter on effect sizes (don’t worry about formulas or the methods of how to calculate effect sizes) and the Cohen article (1994). Describe the importance of effect sizes in the field of psychology.

This week and next week we will concentrate on the Normal distribution, also known as the Gaussian distribution. The graph of a Normal distribution is characterized by the familiar bell-shaped curve. It’s important for you to understand that there are many normal distributions–each taking its particular bell-shape based on its mean and standard deviation.

Understanding the properties of the normal distribution is absolutely critical as you begin to build the fundamental blocks of inferential statistics. The Normal distribution is commonly and frequently used in science, engineering, and the social science fields. Likewise understanding the Normal distribution is essential if you are to appreciate estimation, forecasting, and testing of hypotheses–all of which we will investigate in the ensuing weeks. Consequently, some claim that the Normal distribution is the most important distribution in all of statistics.

This week we continue our study of the normal distribution. By now I hope that you have familiarized yourself with the NORMDIST, and NORMSDIST functions in Excel. These functions are very easy to use–and are usually more accurate than using the standard normal table to solve problems.

Additionally, the NORMDIST and NORMINV functions eliminate the need to convert random variables that are normally distributed with a mean = f$displaystyle mu f$ and standard deviation = f$displaystyle sigma f$ to their corresponding z-scores. This business of transforming such random variables to their corresponding z-scores was certainly useful 25 years ago, before the NORMDIST and NORMINV functions came on scene. This was so, because computing probabilities associated with random variables having a normal distribution with mean = f$displaystyle mu f$ and standard deviation = f$displaystyle sigma f$ involved the calculation of some pretty complicated integrals to find the associated areas under the particular normal curve. Now, however, we have NORMDIST and NORMINV at our disposal and converting to z-scores is not usually necessary. So, give the Excel functions a try. They will simplify things for you.

You–and ultimately only you–are responsible for your learning. Others, of course, will help you, but others cannot carry you. That said, please seize the opportunity to learn the material we explore in our course. Naturally, reach out to me and others when you must. And, stay on task and maintain your pace as you make your way through the course.

To help understand Normal Probabilities, the Empirical Rule and how the bell-shaped distribution will look using a mean and a SD, I encourage you to review the PDF. This will also benefit you in the discussion this week AND on the Knowledge Check Homework and Tests in the Quizzes section. It will give you a good step by step guide to help answer the question in the discussion BUT you can also utilize and use these PDFs on the material in the course.

Week 4 Empirical Rule

Week 4 normal probabilities PDF

Here are additional PDFs that were created to help you with the Knowledge Check Homework and Tests in the Quizzes section and on the Lessons in the course. While they won’t be used to answer the questions in the discussion, they are just as useful and beneficial. I encourage you to review these ASAP!

Week 4 Exponential probabilities

Week 4 Uniform probabilities

To Do:

1. Watch the Videos and take notes: Triola Guided Notes Ch 2.

2. After watching the video, construct a relative frequency table (with six classes) of the data below. In step 2, you will construct a histogram but that will be in the next assignment.

3. Upload your table. You can scan and save as a pdf or take a photo and send it as a pdf.

A university collected some data on the amount of money that students spend on textbooks in a typical

semester. Here are the dollar amounts: (n = 42)

239 289 304 323 336 432

256 290 307 324 394 433

280 295 310 326 397 440

284 298 314 330 415 445

284 298 315 331 420 446

287 298 319 332 425 447

287 299 321 334 430 447

9. Application – How many orders?

9. You manage a fulfillment center for Amazon. You need to estimate the number of orders that can reasonably be fulfilled by an employee per day so that you can set expectations for new employees. Why and how would a confidence interval be useful in this situation?

## Pick a number for s between 4-8.

On the first one we will have a 95% confidence interval with z=1.96 and n=100

Pick a number for xbar between 60-100. Pick a number for s between 4-8. Find the confidence interval given

xbar +/- E

Note to find the square root of n use n^.5 where you are raising to the .5 or 1/2 power which is a square root. You can also use the square root key.

Here is a short cut to use excel!!!

Pick a value for xbar and s and work it first with n=100 and then with n=400. Let’s say you pick xbar = 80 and s=6. Since you have a 95% confidence interval alpha = 100%-95% =5% or .05 as a decimal n is 100.

This is a z score so we use =confidence.norm(alpha, sd, n) to find E

In this case you will type this in an excel cell to find E and then take the =xbar + E and =xbar – E

=confidence.norm(.05,6,100)

then hit enter

Instead of 100 let n=400

Show both intervals and the numbers you used. Why do you think they changed?

(If you had a t test where n< 30 then do then use the following

=confidence.t(alpha,sd,n) to find E.)

Option 2: For this option, consider a normal distribution.

Decide whether you should use the median or mean to best describe the data set.

Determine whether the standard deviation or the interquartile range are relevant factors.

Briefly discuss in the context of a specific example.