In: Miscellaneous

Submitted By deanxloukas

Words 842

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Words 842

Pages 4

Week 6 Lab

Submitted by: (Insert Name)

Part 1. Normal Distributions and Birth Weights in America

1(a) 37 to 39 weeks as mean is around 7.33 lb.

1(b) 40 weeks as mean is around 7.72 lb.

1(c) 28 to 31 weeks as mean is 4.07 lb.

2(a) 99.88%, Excel command used was NORMDIST(5.5,1.88,1.19,TRUE).

2(b) 43.83%

2(c) 4.66%

2(d) 2.75%

3(a) Above 8.7269, Excel command used was NORMINV(0.9,7.33,1.09).

3(b) Above 9.0853

4(a) 41.41%, Excel command used was NORMDIST(9,5.73,1.48,TRUE)-NORMDIST(6,5.73,1.48,TRUE).

4(b) 82.61%

4(c) 81.56%

5(a) 88.36%, Excel command used was NORMDIST(3.3,1.88,1.19,TRUE)

5(b) 5.03%

5(c) 0.01%

Part 2. Age Distribution in the United States

1. 36.48

2. 36.21, Excel command used Average(). It is almost the same as the mean age in the United States. It agrees with the central limit theorem as it states that population mean should be equal to sample mean.

3. No, because histogram is not bell shaped.

4.

Maximum value = 44.72

Minimum value = 28.14

Class width = (44.72-28.14)/9 = 1.85(after rounding up)

Class Frequency relative frequency

28.14 - 29.99 1 2.8%

29.99 - 31.84 3 8.3%

31.84 - 33.69 3 8.3%

33.69 - 35.54 7 19.4%

35.54 - 37.39 11 30.6%

37.39 - 39.24 5 13.9%

39.24 - 41.09 3 8.3%

41.09 - 42.94 2 5.6%

42.94 - 44.79 1 2.8% 36 1

We can note that histogram is bell shaped and symmetric. It agrees with the results predicted by the Central Limit Theorem which states that for “large” samples, the sampling distribution is approximately normal.

5. Standard deviation of the set of 36 sample means = 3.551804

Population standard deviation = 22.57

Sample standard deviation = = 3.57

Since both the values are very close so it agrees with the result predicted by the Central Limit Theorem.

Part…...

...this paper I will be going over the study of our neighborhoods impact on criminals primarily focusing on the reentry rate. Also known as Recidivism When exploring such, there are key issues we must pay close attention to, and that’s the group that’s impacted the most- young black males. Secondly we must review the recidivism rate and how they play a role on the neighborhoods where prisoners return. Third we will determine whether race plays a role in certain areas where the recidivism rates are increasing. Lastly we will discuss several implications that could possibly reduce these rates. Introduction: A criminal career is a sequence of offenses during a period of an individual’s life. This repetitive criminal behavior is called recidivism, and indicates the proportion that becomes involved in criminal behavior, at what age criminal behaviors begins, how long the criminal career lasts and the number of offenses typically committed during the course of the career (Farrington, 1992) Also defined as an estimate of the percentage of released prisoner who commit another offense. There are three different measures of recidivism according to the Bureau of Justice Statistics. These are rearrests, reconviction, and reincarceration. Rearrests is described as any arrest that was reported to state identification bureau after release from a correctional bureau after release from a correctional institute. Reconviction can be referred to as a conviction on at least one charge......

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...data whether through stories that have been passed through generations, to actual recordings that began on stone tablets and currently remain saved in computers, books, and physical memory. We have relied on the collection of data to make decisions that propel the human race into the next era of technical development and business growth. The type of data varies as it can either be quantified or qualitative to meet the needs and purpose of the research. The age old question has always been which of the two is the most preferred methodology, but the real question should be how both mirror the theme of statistics to provide the closest range to the point of accuracy while minimizing the margin of error. As we compare and contrast qualitative and quantitative research methods, we will attempt to confirm which one is the better of the two, but how both apply the law of statistics to answer the research question with the highest level of accuracy. Qualitative research provides an in-depth analytical perspective on the data collected. “Unlike the case with quantitative data, both researcher and research sponsor often have more significant involvement in collecting and interpreting qualitative data”. (Schindler 2013, p.166) Qualitative research is more in tune with the emotional and personal data being collected for the study; a collection of person opinions in regards to the research conducted. “Qualitative research gathers information that is not in numerical form. For......

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...This paper will explain what statistics are. Statistics are used in so many ways, including business. This paper will thoroughly defining statistics, the types and levels of statistics, the role of statistics in a business and examples of how statistics may be used. The most common definition for statistics would be the collection of numerical data. Examples of numerical data could be the percentage of how many African-Americans passed, dropped out or failed out of high school in Vallejo, CA in 2013. Another would be how many slam dunks did LeBron James have last year or asking how many assist did LeBron James average last season; would give you numerical data. In this coarse, statistics is described as the science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions. Statistics are usually divided into two catagories, descriptive and inferential statistics. Discriptive statistics are the methods of organizing, summarizing and presenting data in an informative way. Inferential statistics (also known as statistical inference) are the methods used to estimate a property of a population on the basis of a sample. There are two variables/attributes involved in statistics, qualitative and quantitative. Qualitative variables are when the characteristics being studied are categorical or nonnumeric. Quantitative variables are when a variable is studied and the study describes how much or how many. There are four......

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...integrates applied business research and descriptive statistics. Students will learn to apply business research and descriptive statistics in making better business decisions. Other topics include examination of the role of statistics in research, statistical terminology, the appropriate use of statistical techniques, and interpretation of statistical findings in business and research. Policies Faculty and students will be held responsible for understanding and adhering to all policies contained within the following two documents: • University policies: You must be logged into the student website to view this document. • Instructor policies: This document is posted in the Course Materials forum. University policies are subject to change. Be sure to read the policies at the beginning of each class. Policies may be slightly different depending on the modality in which you attend class. If you have recently changed modalities, read the policies governing your current class modality. Course Materials Lind, D. A., Marchal, W. G., & Wathen, S. A. (2011). Basic statistics for business and economics (7th ed.). New York, NY: McGraw-Hill/Irwin. McClave, J. T., Benson, P. G., & Sincich, T. (2011). Statistics for business and economics (11th ed.). Boston, MA: Pearson-Prentice Hall. All electronic materials are available on the student website. |Week One: Understanding the Meaning of Statistics ......

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...Series—08-02 | January 2008 Pin Ng, Ph.D. Associate Professor James Pinto, Ph.D. Professor Susan K. Williams, Ph.D. Associate Professor All professors at: Northern Arizona University The W. A. Franke College of Business PO Box 15066 Flagstaff, AZ 86011.5066 The Effect of Learning Styles on Course Performance: A Quantile Regression Analysis Introduction Students have different learning styles. “They preferentially focus on different types of information, tend to operate on perceived information in different ways, and achieve understanding at different rates” (Felder, 1993, p. 286). In this study, we investigated the relationship between student performance and learning styles for students enrolled in a basic business statistics course. This course was recently redesigned in order to facilitate learning for students of all learning styles. A learner-centered approach that incorporated multiple teaching styles such as student responsibility via mastery and co-operative learning that used teams in several course components was adopted. In addition, the focus of the redesigned course was on interpretation and implications of statistical results instead of the mechanics of computation (Lockwood, Ng, & Pinto, 2007). To assess our success in designing a course that facilitates learning for all learning styles, we evaluated the impact of students’ learning style on their performance in the course. “Students whose learning styles are compatible with the......

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...Refer to the "Visual Learner: Statistics" for examples to help complete the problems in the attached worksheet. Also, to aide in the Excel calculations, view the appropriate section of the Excel tutorials. Answer each question completely in the Excel worksheet provided. Name: Date: Topic One: Mean, Variance, and Standard Deviation Please type your answer in the cell beside the question Iam attaching the forum below Workbook Exercises 11 and 16 Due Date: Jun 29, 2014 23:59:59 Max Points: 80 Details: Complete Exercises 11 and 16 in Statistics for Health Care Research: A Practical Workbook, and submit as directed by the instructor. In order to receive full credit on calculated answers, please show your work. (Use Word's equation editors, etc., and/or provide a short written description as to how you obtained the final result.) ------------------------------------------------- EXERCISE 11 USING STATISTICS TO DESCRIBE A STUDY SAMPLE ------------------------------------------------- STATISTICAL TECHNIQUE IN REVIEW Most studies describe the subjects that comprise the study sample. This description of the sample is called the sample characteristics which may be presented in a table or the narrative of the article. The sample characteristics are often presented for each of the groups in a study (i.e. experimental and control groups). Descriptive statistics are used to generate sample characteristics, and the type of statistic used depends on the level......

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...STATISTICAL TECHNIQUE IN REVIEW Most studies describe the subjects that comprise the study sample. This description of the sample is called the sample characteristics which may be presented in a table or the narrative of the article. The sample characteristics are often presented for each of the groups in a study (i.e. experimental and control groups). Descriptive statistics are used to generate sample characteristics, and the type of statistic used depends on the level of measurement of the demographic variables included in a study (Burns & Grove, 2007). For example, measuring gender produces nominal level data that can be described using frequencies, percentages, and mode. Measuring educational level usually produces ordinal data that can be described using frequencies, percentages, mode, median, and range. Obtaining each subject's specific age is an example of ratio data that can be described using mean, range, and standard deviation. Interval and ratio data are analyzed with the same type of statistics and are usually referred to as interval/ratio level data in this text. RESEARCH ARTICLE Source: Troy, N. W., & Dalgas-Pelish, P. (2003). The effectiveness of a self-care intervention for the management of postpartum fatigue. Applied Nursing Research, 16 (1), 38–45. Introduction Troy and Dalgas-Pelish (2003) conducted a quasi-experimental study to determine the effectiveness of a self-care intervention (Tiredness Management Guide [TMG]) on postpartum fatigue.......

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...IN STATISTICS REGRESSION ANALYISIS Seventh Edition William Mendenhall University of Florida Terry Sincich University of South Florida Prentice Hall Boston Columbus Indianapolis New York San Francisco Upper Saddle River Amsterdam Cape Town Dubai London Toronto Madrid Delhi Milan Mexico Munich City Sao Paris Paulo Montreal Sydney Hong Kong Seoul Singapore Taipei Tokyo Editor in Chief: Deirdre Lynch Acquisitions Editor: Marianne Stepanian Associate Content Editor: Dana Jones Bettez Senior Managing Editor: Karen Wernholm Associate Managing Editor: Tamela Ambush Senior Production Project Manager: Peggy McMahon Senior Design Supervisor: Andrea Nix Cover Design: Christina Gleason Interior Design: Tamara Newnam Marketing Manager: Alex Gay Marketing Assistant: Kathleen DeChavez Associate Media Producer: Jean Choe Senior Author Support/Technology Specialist: Joe Vetere Manufacturing Manager: Evelyn Beaton Senior Manufacturing Buyer: Carol Melville Production Coordination, Technical Illustrations, and Composition: Laserwords Maine Cover Photo Credit: Abstract green ﬂow, ©Oriontrail/Shutterstock Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in this book, and Pearson was aware of a trademark claim, the designations have been printed in initial caps or all caps. Library of Congress Cataloging-in-Publication Data Mendenhall, William. A second course in statistics :......

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...COMM 291 Midterm Review Package Prepared by Angelica Cabrera 1. INTRODUCTION TO DATA AND VARIABLES Categorical vs. Quantitative Data Categorical Limited number – distinct categories No Quantitative Large number Yes Possible values for variable Measurement units? EXAMPLE. Which variables are quantitative and which are categorical? Employee # Age (years) Annual Income (in Performance 1,000s of dollars) Rating (1-5 scale) 5543 48 50 – 100 4.5 2431 34 20 – 49 3.9 7281 31 0 – 19 3.4 Job Type Management Clerical Maintenance 2. SURVEYS AND SAMPLING Population: _______ individuals with a common characteristic that you want to generalize about Parameter: fact or characteristic about _____________ Sample: ________ of population Statistic: fact or characteristic about ______________ EXAMPLE. Mattel claims that less than 5% of all its Hot Wheels toys are defective. When testing 100 Hot Wheels toys from a production run of 7000 toys, 7% were found to be defective. What is the: a) Population? c) Parameter? Poor (Biased) Sampling Convenience sampling: Choosing respondents that are __________ to obtain Voluntary response: Respondents volunteer, so those with __________ opinions are more likely to respond b) Statistic? d) Sample? Sampling Designs 1. Simple Random Sampling (SRS): Every individual has an equal chance of being selected 2. Stratified Random Sampling: Divide population into ______________ subgroups and randomly select from each stratum 3. Cluster......

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...Statistics Business Jason Garrett Qnt/351 YOHANNES MARIAM 5/4/2015 After review of the text and online research I have come to the understanding of Statistics in business it’s the most widely used quantitative method in business. This method has a lot to do with the accuracy the business collects of the information to review and help make the best decision based on these findings. It is concerned with extracting the best possible information from data in order to aid decision making. As Define statistics a branch of mathematics dealing with the collection, analysis, interpretation, and presentation of masses of numerical data Identify different types and levels of statistics. Nominal Measurement There are handful of types and levels of statistics, Nominal measurements, “In social research, variables measured at a nominal level include gender, race, religious affiliation, college major, and birthplace. Ordinal measurement, in this classification, the numbers assigned to objects represent the rank order (1st, 2nd, 3rd etc.) of the entities measured. The numbers are called ordinals. The variables are called ordinal variables or rank variables. Comparisons of greater and less can be made, in addition to equality and inequality” ("Level Of Measurements," 2015). Interval measurements, “the numbers assigned to objects have all the features of ordinal measurements, and in addition equal differences between measurements represent equivalent intervals. That......

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...the data? a. The time (in years) it takes a sample of students to graduate college b. The blood type (e.g., Type A, B, AB, O) of a group of participants c. The rankings of college undergraduate academic programs Chapter 4 3. An expert reviews a sample of 10 scientific articles (n = 10) and records the following numbers of error in each article: 0, 4, 2, 8, 2, 3, 1, 0, 5, and 7. Compute the SS, the variance, and the standard deviation for this sample using the definitional and computational formulas. SS is 3.2. (Sum/count). The variance is 6.96. (Sum of the differences^2) 69.6/10.Standared deviation is 2.638181192. (the square root of the variance). SS = ∑(x-μ)2 Definitional, SS = ∑X2 - (∑X)2/n Computational. 4. A psychologist interested in political behavior measured the square footage of the desks in the official office for four U.S. governors and of four chief executive officers (CEOs) of major U.S. corporations. The figures for the governors were 44, 36, 52, and 40 square feet. The figures for the CEOs were 32, 60, 48, 36 square feet. a. Figure the means and standard deviations for the governors and CEOs. b. Explain, to a person who has never had a course in statistics, what you have done. c. Note the ways in which the means and standard deviations differ, and speculate on the possible meaning of these differences, presuming that they are representative of U.S. governors and large corporations’ CEOs in......

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...630 1175 952 1100 1140 750 1140 1370 960 1035 1280 1. What is the 78th percentile of the data set? a. 1160.6 b. 1177.88 c. 1151 d. 1171 e. None of the above, specify__________ 2. What is the IQR of the data set? a. 160.25 b. 153 c. 1270 d. 313.25 e. None of the above, specify__________ 3. What is the percentile rank for the observation, 1126.58? a. 56.77 d. 67 b. 66 e. None of the above, specify__________ c. 66.66 Use the following data for the next 2 questions: The following data give the salaries (in thousands of dollars) of the pitchers of baseball team. 5375 4333 350 2125 215 235 3000 2833 4125 13350 750 10000 763 1533 8000 Page 1 of 5 STATISTICS FOR BUSINESS (BA080IU) Midterm Examination Review | SAMPLE TEST 06 Vietnam International University (VNU) – HCMC INTERNATIONAL UNIVERSITY (IU) 4. What are the mean and the variance of the data set? a. 3799.13; 3924.85 b. 3799.13; 15404474.98 c. 2905.17; 14377509.98 Semester 01, Academic Year 2014 - 2015 ------o0o-----d. 2905.17; 15404474.98 e. None of the above, specify__________ 5. Using the Chebyshev’s Theorem, what is the interval that contains the salaries of at least 74% of all the pitchers of baseball team? a. 4050.57; 11648.84 d. 4977.11; 12575.37 e. None of the above, specify__________ b. 7975.43; 15573.69 c. 3898.14; 11496.40 6. At a car park there are 121 vehicles, 75 of which are cars, 26 are vans, and the remainders...

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...variable listed below, which measure of central tendency is most appropriate for describing the data? a. The time (in years) it takes a sample of students to graduate college b. The blood type (e.g., Type A, B, AB, O) of a group of participants c. The rankings of college undergraduate academic programs Response: Chapter 4 3. An expert reviews a sample of 10 scientific articles (n = 10) and records the following numbers of error in each article: 0, 4, 2, 8, 2, 3, 1, 0, 5, and 7. Compute the SS, the variance, and the standard deviation for this sample using the definitional and computational formulas. 4. A psychologist interested in political behavior measured the square footage of the desks in the official office for four U.S. governors and of four chief executive officers (CEOs) of major U.S. corporations. The figures for the governors were 44, 36, 52, and 40 square feet. The figures for the CEOs were 32, 60, 48, 36 square feet. a. Figure the means and standard deviations for the governors and CEOs. b. Explain, to a person who has never had a course in statistics, what you have done. c. Note the ways in which the means and standard deviations differ, and speculate on the possible meaning of these differences, presuming that they are representative of U.S. governors and large corporations’ CEOs in general. 5. Radel and colleagues (2011) conducted a study of how feeling overly controlled makes you desire—even......

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...Introductory STATISTICS 9TH EDITION This page intentionally left blank Introductory STATISTICS 9TH EDITION Neil A. Weiss, Ph.D. School of Mathematical and Statistical Sciences Arizona State University Biographies by Carol A. Weiss Addison-Wesley Boston Columbus Indianapolis New York San Francisco Upper Saddle River Amsterdam Cape Town Dubai London Madrid Milan Munich Paris Montreal Toronto Delhi Mexico City Sao Paulo Sydney Hong Kong Seoul Singapore Taipei Tokyo On the cover: Hummingbirds are known for their speed, agility, and beauty. They range in size from the smallest birds on earth to several quite large species—in length from 2 to 8.5 inches and in weight from 0.06 to 0.7 ounce. Hummingbirds ﬂap their wings from 12 to 90 times per second (depending on the species) and are the only birds able to ﬂy backwards. Normal ﬂight speed for hummingbirds is 25 to 30 mph, but they can dive at speeds of around 60 mph. Cover photograph: Hummingbird, Editor in Chief: Deirdre Lynch Acquisitions Editor: Marianne Stepanian Senior Content Editor: Joanne Dill Associate Content Editors: Leah Goldberg, Dana Jones Bettez Senior Managing Editor: Karen Wernholm Associate Managing Editor: Tamela Ambush Senior Production Project Manager: Sheila Spinney Senior Designer: Barbara T. Atkinson Digital Assets Manager: Marianne Groth Senior Media Producer: Christine Stavrou Software Development: Edward Chappell, Marty Wright C iDesign/Shutterstock Marketing Manager: Alex Gay Marketing......

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...Use the information below to answer Questions 1 through 4. Given a sample size of 34, with sample mean 660.3 and sample standard deviation 104.9, we perform the following hypothesis test. Null Hypothesis [pic] Alternative Hypothesis [pic] 1. What is the test statistic? 2. At a 5% significance level (95% confidence level), what is the critical value in this test? Do we reject the null hypothesis? 3. What are the border values in terms of the sample mean between acceptance of Ha and rejection of this hypothesis (Ho)? (note you will have a value less than the mean and a value greater than the mean since a tool tailed test. Draw it out for yourself but drawing not required in the test just the range of values). 4. What is the power of this test if the assumed true mean were 690 instead of 700? Questions 5 through 9 involve rolling of dice. 5. Given a fair, six-sided die, what is the probability of rolling the die twice and getting a “6” each time? 6. What is the probability of getting a “6” on the second roll when you get a “6” on the first roll? 7. The House managed to load the die in such a way that the faces “2” and “4” show up twice as frequently as all other faces. Meanwhile, all the other faces still show up with equal frequency. What is the probability of getting a “6” when rolling this loaded die? 8. Write the probability distribution for this......

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