Dear Statistics Student Report

Due to financial hardship, the Nyke shoe company feels they only need to make one size of shoes, regardless of gender or height. They have collected data on gender, shoe size, and height and have asked you to tell them if they can change their business model to include only one size of shoes – regardless of height or gender of the wearer. In no more 5-10 pages (including figures), explain your recommendations, using statistical evidence to support your findings. The data found are below:

Read the directions and write answers independently. 1. (L.2) Choose the sentence with correct capitalization and punctuation. A. Mrs. Brown catches the bus at the corner of Elm and N. Grove.

c. What kind of display would you use to show the association between job class and mode of

Chapter 14: sampling/survey methods, types of bias, and correlation vs. causation I think is ultimately the most important thing we have learned and will benefit me in my job field one day if I want to become a reporter. Knowing the raw facts and statistics could ultimately bring up new questions and even a possible story idea that could adhere to the community and start a conversation. Along with Chapter 14, Chapter 15: statistical measures, misleading graphs, and graphical representation of data can help me after I’ve collected all the data from my sampling to make sure my facts are straight and that the publishing of those facts to the public is 100% correct and understandable to the readers.

The coefficient is 403.for any increase in size, the credit balance will change by beta-hat

A theory often used in the research of individual health behavior and behavioral intentions is the theory of planned behavior (Ajzen, 1991). According to this theory, the performance of any behavior depends on behavioral intention. Behavioral intention is viewed as being dependent on behavioral beliefs (e.g., attitude towards the behavior), normative beliefs, and control beliefs. Normative beliefs are beliefs about the expectations of others, and control beliefs are beliefs about the factors that may help or hinder the performance of the behavior. The framework for the study of physical activity discussed earlier by Armitage (2005) is based on this theory. That study found that behavioral beliefs, normative beliefs, and control beliefs all contribute to physical activity behavior.

1. The researchers analyzed the data they collected as though it were at what level of measurement?

My first word is that even though statistics is known to be a relatively easy AP class, it is still an AP class and it will not be as easy as you think, so actually pay attention in class and actually do your homework. Also, you do not want to procrastinate on your homework, especially the inference homework, or your homework papers will have tear spots when you turn them in. If you want to do well in class, you might want to actually read the textbook and take notes too. Graphic notes will definitely come in handy. Get rid of the thought that this is a math class because it is more like an English class. Understanding and interpreting different statistics in contexts are more important and challenging than the mechanics

The given information is related to 30 major League Baseball teams for the 2012 season. Here, the sample size is large (n 230) but the population standard deviation (a) is unknown. So, apply one sample t confidence intervals. Find the 95% confidence interval for the mean number of home runs per team. Using MINITAB, following are the steps to obtain the 95% confidence intervals for the population mean. 1) Import the data into one column named as RUNS, 2) Choose Stat Basic Statistics 21-Sample t... 3) Select the Samples in columns option button, 4) Click in the Samples in columns text box and specify RUNS. 5) Click the Options...button, 6) Enter 95% in the confidence level text box. 7) Click the arrow button at the right of the Alternative drop-down list box and select not equal, 8) Click OK twice. output: One-Sample T Runs Variable 30 164.47 32.97 Mean StDev SE Mean 955 CI Runs 6.02 (152.15, 176.78) From the above output, the 95% confidence interval for the mean number of home runs per team is lies between 152.15 and 176.78

Austin is committed to doing well in AP Statistics. His notebook and practice set grades are both perfect, which indicates he is focused during class and participating fully. Austin has had to miss quite a few class meetings. He has done an excellent job of making up all of his work in a timely manner. I appreciate his strong effort. It is a pleasure to have Austin for a student this

Answer: Sample statistics are understood as numerical ascriptions given towards a sample of which is determined by the consolidation or summarizing of collected data within research (Bennett, Briggs, & Triola, 2014). This definitional explanation shares that the given example is that of a sample statistic. The example provides no understanding of a viable population of which has been studied or the total numerical identification of the complete student population of which participated within the exam. Rather it only shares that 15 students, after participating within the first exam, dropped the course.

The Census Bureau data collected in the ACS (American Community Survey) is an ongoing statistical survey that provides data every year to communities for future investments and services. The information from the inquiry also generates data that help determine how more than $400 billion in federal and state funds are distributed each year (About the American Community Survey, n.d). The (ACS) data given for each geographic area are presented together with margins of error at factfinder2.census.gov. Furthermore, the data are period estimates, that is, they represent the characteristics of the population over a particular 60-month data collection period. Since answers to income questions are frequently based on memory and not on records, many people tended to forget minor or sporadic sources of revenue and, therefore, underreport their income. Underreporting

Statistic is definitely everywhere and it is a part of our lives. It is simple and useful analysis of all the raw data out there. Based on the US Census Bureau releases on Custodial Mothers, Fathers and Their Child Support confirms how many single parents have a child support order in place. This information shows various cause and effect on different opinions. Yet, the numbers can be continuous based on new birth or divorce. So with Statistic, it illustrates that among the 14.4 million custodial parents in the U.S., about half of them had some type of legal or informal child support agreement in place. I can relate to this situation and the statistic report as my brother goes through this scenario. However, reading the statistic report,

Today most of us live in a world surrounded by data. Everything that we do calculates findings to supply data for statistical findings to show that it is either wrong or right. Statistics is not a new process in our lives; it has been around for close to 400 years from the history I was able to find discussing statistics or probability. The oldest date found was identified by Stigler (1999 p. 207) were he explained that in 1628 a William Harvey released a study on the motion of blood and the heart. The study, which consisted of statistical facts, proved that blood passes through the body by the pulsation of the heart. To us in today’s world that does not sound like a great discovery. However, to a world that did not know the method of how the blood flowed through the body, it was a great achievement. Without identifying the research as being statistical, we can go back even farther to find that one of the items possibly found in your garden today is actually one of the oldest known timekeepers in the world, the sundial. “The sundial existed in a very primitive form in Egypt from at least the 15th century B.C.” (Bigliazzi, Spaans, Dunaud, & Juran, 1995). Discovery of one of the earliest specimens of a sundial was in Greece in which dated back to the third century B.C. In Greece, they studied the mathematics of the sundial, which in turn led to improving the accuracy of the timekeeper. In order to establish and improve the accuracy of the

I first discovered my interest in statistics in my sophomore year at the University of California, Berkeley. In a statistics lecture, the professor explained how statistics can be applied in real life by giving an example that Amazon often promotes products by emailing its customers and recommending products according to sophisticated analysis of customers’ search records, as well as their transaction data. Previously having been immersed in the world of abstract statistics, I realized that in addition to being an essential tool to confirm theories already proposed, data itself can lead to entirely new ideas. The data patterns can be interpreted from many different perspectives, which triggered my eagerness to explore the stories hidden in data and improve my understanding of the world through data analysis.