...Exercises 11 and 16 Alena Coleman 11 1) The measured demographic variables would be age, income, length of labor, return to work, and number of hours worked each week. These categories provide defined values that can be used to obtain set intervals. 2) The statistics used to describe the length of labor were the N (number or value), Mean and Standard Deviation. Yes, these are appropriate as hours worked are a defined set value with no obvious margin of error. 3) Another statistic that could have been used is the Median which describes the middle of the ordered value set, however to me this is not the best choice. 4) The score distribution for the experimental and control groups for length of labor are similar. There is not a significant difference in the described hours to change the outcome of the study. 5) Both the experimental and control group were similar for the types of feeding. For both bottle and breast, both had the same value of (2) and the remaining categories were very close in values. 6) In comparing the marital status mode between the experimental and control groups, the majority of women in both groups were married with a frequency of 25 and 78.1 percent in the experimental and frequency of 31 and 86.1 percent in the control. 7) Median values can be obtained from the education categories for both groups. This would be the mid-range value of Some College. The experimental group has a median of 11 and the control group has a median of 15. 8)...
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...Can you image having something lounged in your knee causing unbearable pain after surgery. In 2010 a patient went to a local hospital in Woodland Hills California, to have a knee replacement surgery done, and the operating surgeon left a foreign object inside the knee after performing surgery.(CDOPH). (Jones 2012). It was found that their was a unidentified nurse working in the in the surgical unit who failed to do a correct count on the sponges before surgery and after. Further more she forged a technician signature on the operating room record who was suppose to do the count himself, but failed to do his job. The doctor himself did not follow the correct procedure, and stuffed a 4 by 4 saturated sponge with anesthetic inside of the incision, causing the patient to have terrible pain and a lump in the knee by the incision.(Jones 2012). The patient went to another hospital and it was discovered that a foreign object, a sponge was left in after the procedure. The patient had to have another operation to remove the sponge. Can you image having something lounged in your knee causing unbearable pain after surgery. In 2010 a patient went to a local hospital in Woodland Hills California, to have a knee replacement surgery done, and the operating surgeon left a foreign object inside the knee after performing surgery.(CDOPH). (Jones 2012). It was found that their was a unidentified nurse working in the in the surgical unit who failed to do a correct count on the sponges before...
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...Running head: STATISTICS. EXERCISE 16 1 STATISTICS. EXERCISE 16 SUMITHA THOMAS GRAND CANYON UNIVERSITY STATISTICS. EXERCISE 16 STATISTICS. EXERCISE 16 Name: Sumitha K Thomas Date:3/3/13 Class : HLT -362V 2 1) The researchers analyzed the data they collected as though it were at what level of measurement? a) Nominal b) Ordinal c) Interval/ration d) Experimental The correct answer is: d)experimental. 2) What was the mean post test empowerment score for the control group? Answer: 97.12 3) Compare the mean baseline post test depression scores of the experimental group. Was this an expected findings? Provide a rational for your answer? Answer: The baseline score of the experimental group is 14.00. According to the data provided in exercises 16, the depression decreased to 13.36 after the empowerment program. This is a positive result, which shows slight improvement (0.64). 4) Compare the mean baseline and posttest depression scores of the control group. Do these scores strengthen or weaken validity of the research results? Provide a rationale for your answer? Answer: The mean baseline depression scores of control group is 10.40. The mean post test depression scores of control group 10.40. Because the scores remains same STATISTICS. EXERCISE 16 at the baseline level and post test level of depression rate of control group is neither weaken or strengthen with empowerment program, which shows no improvement with the program but also their depression score doesn’t increase...
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...at: HELP@COURSEHOMEWORK.COM HLT 362 COMPLETE COURSE LATEST VERSION HLT 362 EXERCISE 11 Questions HLT 362 EXERCISE 16 Questions HLT 362 EXERCISE 18 Questions HLT 362 EXERCISE 20 Questions HLT 362 EXERCISE 23 Questions HLT 362 EXERCISE 24 Questions HLT 362 EXERCISE 31 Questions HLT 362 EXERCISE 11 AND 16 Statistics for Healthcare Professionals HLT 362 M1 Mean Variance Standard Deviation Student HLT 362 M2 Population Sampling Distribution Student HLT 362 Module 2 Exercise 29 HLT 362 M3 Hypothesis Testing Week 3 HLT 362 Module 4 ANOVA-Excel-Worksheet HLT 362 Module 4 Exercise 36 HLT 362 Module 5 Correlation Regression and Chi Square Excel Worksheet HLT 362 Week 1 DQs HLT 362 Week 2 DQs HLT 362 Week 3 DQs HLT 362 Week 4 DQs HLT 362 Week 5 DQs Course Home Work aims to provide quality study notes and tutorials to the students of HLT 362 Complete Course Latest Version in order to ace their studies. HLT 362 COMPLETE COURSE LATEST VERSION To purchase this visit following link: https://coursehomework.com/product/hlt-362-complete-course-latest-version/ Contact us at: HELP@COURSEHOMEWORK.COM HLT 362 COMPLETE COURSE LATEST VERSION HLT 362 EXERCISE 11 Questions HLT 362 EXERCISE 16 Questions HLT 362 EXERCISE 18 Questions HLT 362 EXERCISE 20 Questions HLT 362 EXERCISE 23 Questions HLT 362 EXERCISE 24 Questions HLT 362 EXERCISE 31 Questions HLT 362 EXERCISE 11 AND 16 Statistics for Healthcare Professionals HLT 362 M1 Mean Variance Standard Deviation Student ...
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...TermPaperWarehouse.com - Free Term Papers, Essays and Research Documents The Research Paper Factory JoinSearchBrowseSaved Papers Search over 100,000 Essays Home Page » Business and Management Exercise 36 Questions to Be Graded In: Business and Management Exercise 36 Questions to Be Graded EXERCISE 36 Questions to be graded 1. The researchers found a significant difference between the two groups (control and treatment) for change in mobility of the women with osteoarthritis (OA) over 12 weeks with the results of F(1, 22) = 9.619, p = 0.005. Discuss each aspect of these results. * The F-value suggests that there is a significant difference between the results of the control and treatment groups. The P-value of 0.005 is < the alpha of 0.05. This suggest that the groups are significantly different and the null hypothesis should be rejected. 2. State the null hypothesis for the Baird and Sands (2004) study that focuses on the effect of the GI with PMR treatment on patients’ mobility level. Should the null hypothesis be rejected for the difference between the two groups in change in mobility scores over 12 weeks? Provide a rationale for your answer. * Treatment group mean = control group mean * With the p-value being < the alpha, the null hypothesis would be rejected indicating the difference in the mean mobility scores. 3. The researchers stated that the participants in the intervention group reported a reduction in mobility difficulty at week...
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...QNT 561 Week 4 Weekly Learning Assessments - Assignment Chapter 10 Exercise 2 [The following information applies to the questions displayed below.] A sample of 36 observations is selected from a normal population. The sample mean is 12, and the population standard deviation is 3. Conduct the following test of hypothesis using the 0.01 significance level H0: μ ≤ 10 H1: μ > 10 1. Award: 10 out of 10.00 points a. Is this a one- or two-tailed test? b. What is the decision rule? c. What is the value of the test statistic? d. What is your decision regarding H0? e. What is the p-value? Chapter 10 Exercise 10 Given the following hypotheses: H0 : μ = 400 H1 : μ ≠ 400 A random sample of 12 observations is selected from a normal population. The sample mean was 407 and the sample standard deviation 6. Using the .01 significance level: a. State the decision rule. (Negative amount should be indicated by a minus sign. Round your answers to 3 decimal places.) b. Compute the value of the test statistic. (Round your answer to 3 decimal places.) c. What is your decision regarding the null hypothesis? To download QNT 561 Week 2 Complete Answers click here QNT 561 Week 2 Weekly Learning Assessments Chapter 10 Exercise 12 The management of White Industries is considering a new method of assembling its golf cart. The present method requires 42.3 minutes, on the average, to assemble a cart. The mean assembly time for a random sample of 24 carts, using the new method,...
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...Variable View in SPSS 3 Data View in SPSS 3 DESCRIPTIVE STATISTICS 4 Gender Statistics 4 BMI Health Statistics 4 Factors Influencing Exercise Participation 7 Factors Influencing Exercise Non- Participation 8 CONFIDENCE INTERVAL 9 CROSS-TABULATIONS WITH CHI-SQUARE ANALYSIS: 10 T-Test Analysis: 14 One-Sample T-Test: 14 Independent Sample T-Test: 16 Paired Sample T-Test: 17 FACTOR ANALYSIS 20 KMO measure of sampling adequacy 21 Bartlett’s test of sphericity 21 LINEAR MULTIPLE REGRESSION 21 Multiple Linear Regression Equation: 25 ONE-WAY ANOVA TEST 26 INTERPRETATION OF ATTITUDE SCALE 29 CONCLUSION 31 PROBLEM STATEMENT In what ways can IFMR improve the fitness level among its population by better analyzing factors influencing exercise participation & exercise non-participation. Research Objective The research attempts to analyze the fitness level of students in the IFMR, as well as ways to improve the fitness level and what exercise they do on regular basis to maintain their physical health. Moreover, a research objective is to collect statistical information of the students and the factors influencing exercise participation & non-participation. The data that was received from the questionnaires and the responses were further analyzed through statistical analysis with the help of SPSS. INTRODUCTION The report details the analysis made on the data collected from a sample of 180 students of IFMR batch-16 out of which 81 individuals responded. Approach: We...
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...population? A sample is a subset of a population. 3. What is the difference between a parameter and a statistic? A parameter is a numerical description of a population; a statistic is a numerical description of a sample. True or False? In Exercises 5–10, determine whether the statement is true or false. If it is false, rewrite it as a true statement. 5. A statistic is a measure that describes a population characteristic. False; a statistic is a measure that describes a sample characteristic 7. It is impossible for the Census Bureau to obtain all the census data about the population of the United States. True 9. A population is the collection of some outcomes, responses, measurements, or counts that are of interest. False, t is a collection of ALL outcomes, etc Classifying a Data Set In Exercises 11–16, determine whether the data set is a population or a sample. Explain your reasoning. 11. The age of each member of the House of Representatives Population; collection of ages of all members of the House 13. A survey of 500 spectators from a stadium with 42,000 spectators Sample; collection of 500 spectators is a subset within population of 42,000 spectators 15. The cholesterol levels of 20 patients in a hospital with 100 patients Sample; collection of 20 patients is a subset within the population of 100 patients Graphical Analysis In Exercises 17–20, use the Venn diagram to identify the population and the sample. 17. Population: Party of registered...
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...1 Homework EX#11 and #16 EX# 11 Questions to be graded: [pic] 1. What demographic variables were measured at least at the interval level of measurement? 2. What statistics were used to describe the length of labor in this study? Were these appropriate? 3. What other statistic could have been used to describe the length of labor? Provide a rationale for your answer. 4. Were the distributions of scores similar for the experimental and control groups for the length of labor? Provide a rationale for your answer. 5. Were the experimental and control groups similar in their type of feeding? Provide a rationale for your answer. 6. What was the marital status mode for the subjects in the experimental and control groups? Provide both the frequency and percentage for the marital status mode for both groups. 7. Could a median be determined for the education data? If so, what would the median be for education for the experimental and the control groups? Provide a rationale for your answer. 8. Can the findings from this study be generalized to Black women? Provide a rationale for your answer. 9. If there were 32 subjects in the experimental group and 36 subjects in the control group, why is the income data only reported for 30 subjects in the experimental group and 34 subjects in the control group? 10. Was the sample for this study adequately described? Provide a rationale for your answer. Reference: Grove, Susan K. Statistics for Health Care Research:...
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...Available at http://www.amstat.org/publications/jse/v17n1/mclaren.html Note to Instructors: Our students, like many introductory business statistics students, have access to SPSS and Minitab so in most cases these exercises provide specific instructions for these two packages. We have also included instructions for Excel 2007. While we are cognizant of the issues with using Excel for statistical analyses, we also realize its simplicity for basic functions such as graphing, and we use it in our classes along with Minitab and SPSS because we feel that business students should be proficient in its use. We used SPSS version 15, Minitab version 15, and Excel 2007 to write the following instructions. If your students will be using other versions of these softwares or if you prefer that your students use different statistical software, you will need to edit the instructions accordingly before distributing to your students. Exercise 1: Data Retrieval and Graphing Learning Objectives: 1. Locate and retrieve data from a web site. 2. Place retrieved data into Excel and format appropriately. (This step is recommended because the format from the website is not easily imported directly into SPSS and Minitab). 3. Create and format a time series plot in SPSS, Minitab, Excel or other software. Instructions for the students: For this exercise you will use movie box office data found at http://www.the-numbers.com/. You will locate data for a specific movie, bring the data to Excel...
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...Part I (Chapters 1 – 11) MBA 611 STATISTICS AND QUANTITATIVE METHODS Part I. A. Review of Basic Statistics (Chapters 1-11) Introduction (Chapter 1) Uncertainty: Decisions are often based on incomplete information from uncertain events. We use statistical methods and statistical analysis to make decisions in uncertain environment. Population: Sample: A population is the complete set of all items in which an investigator is interested. A sample is a subset of population values. & Example: Population - High school students - Households in the U.S. Sample - A sample of 30 students - A Gallup poll of 1,000 consumers - Nielson Survey of TV rating Random Sample: A random sample of n data values is one selected from the population in such a way that every different sample of size n has an equal chance of selection. & Example: Random Selection - Lotto numbers - Random numbers Random Variable: A variable takes different possible values for a given subject of study. Numerical Variable: A numerical variable takes some countable finite numbers or infinite numbers. Categorical Variable: A categorical variable takes values that belong to groups or categories. Data: Data are measured values of the variable. There are two types of data: quantitative data and qualitative data. 1 Part I (Chapters 1 – 11) Quantitative Data: Qualitative Data: & Example: 1. 2. 3. 3. 4. 5. 6. 7. 8. Statistics: Quantitative data are data measured on a numerical scale. Qualitative data are non-numerical...
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...Caffeine Ingestion: Its Effect on Muscle Metabolism Business Statistics/BUS3020 Caffeine Ingestion: Its effect on RER Coffee Pot --- It’s already ubiquitous that a perfect start for our day is to have a cup of hot and fresh coffee. Coffee has already earned its spot in our “daily-important-things” to have, and even have defined a space on our diet. These drinks are classified as a beverage with a different stimulating aroma and a substance known as caffeine that drives one away from the world for a second at least. Speaking of caffeine, the common belief that it improves both mental and physical performance, combined with the removal of caffeine from the banned substances list on the January 1, 2004 by the World Anti-Doping Agency, has led to its widespread use amongst athletes competing in many sports. Research updated that acute ingestion of caffeine before exercise has been shown to prolong exercise endurance, increase plasma epinephrine and serum free fatty acids (ffa’s), and spare muscle glycogen. Henceforth, it is clear that caffeine can be employed as an ergogenic agent or that it enhance athletic performance or facilitate physical exercise for a wide range of exercise conditions (Graham, 1997) and it is often proposed that this effect is mediated by enhancing fat oxidation and decreasing carbohydrate use in the active muscles. However, not only does caffeine enhance exercise capacity when endogenous carbohydrates are not limiting metabolism (Anselme et al. 1992)...
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...E-Science Lab 1 UMUC - The Science of Life UMUC Biology 102/103 Lab 1: Introduction to Science INSTRUCTIONS: On your own and without assistance, complete this Lab 1 Answer Form electronically and submit it via the Assignments Folder by the date listed on your Course Schedule (under Syllabus). To conduct your laboratory exercises, use the Laboratory Manual that is available in the WebTycho classroom (Reserved Reading or provided by your instructor) or at the eScience Labs Student Portal. Laboratory exercises on your CD may not be updated. Save your Lab 1 Answer Form in the following format: LastName_Lab1 (e.g., Smith_Lab1). You should submit your document in a Word (.doc or .docx) or Rich Text Format (.rtf) for best compatibility. Exercise 1: Data Interpretation Table 1: Water Quality vs. Fish Population Dissolved Oxygen 0 2 4 6 8 10 12 14 16 18 Number of Fish Observed 0 1 3 10 12 13 15 10 12 13 1. What patterns do you observe based on the information in Table 1? The number of fish observed increased as the dissolved oxygen in the water increased. At 6 and 8 ppm, the number of observed fish peaked with a +4 observed fish rate per ppm. At 14 ppm there is a drop in observable fish (-4), and continues to drop as the dissolved oxygen increases. 2. Develop a hypothesis relating to the amount of dissolved oxygen measured in the water sample and the number of fish observed in the body of water. If the amount of dissolved oxygen is increased...
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...Course Description This course prepares students to apply statistics and probability concepts to business decisions. Students learn important criterion for developing effective research questions, including the creation of appropriate sampling populations and instruments. Other topics include descriptive statistics, probability concepts, confidence intervals, sampling designs, data collection, and data analysis – including parametric and nonparametric tests of hypothesis and regression analysis. Cooper, D.R., & Schindler, P.S. (2006). Business research methods (9th ed.). Boston, MA: McGraw-Hill/Irwin. Lind, D. A., Marchal, W. G., & Wathen, S. A. (2008). Statistical techniques in business and economics (13th ed.). Boston, MA: McGraw-Hill/Irwin. All electronic materials are available on the student website. |Week One: Descriptive Statistics and Probability Distributions | | |Details |Due |Points | |Objectives |Compute descriptive statistics for given data sets. | | | | |Apply probability concepts related to discrete and continuous probability. | | | |Readings ...
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...MA3110: Module 6 Correlation and Regression Exercise 6.1 Linear Correlation 1 In this exercise, you will solve three questions, where you will be asked to calculate a linear correlation coefficient and determine whether there is a linear correlation between the two given variables. Solve the following problems: Listed below are baseball team statistics, consisting of the proportions of wins and the result of this difference: Difference (number of runs scored) - (number of runs allowed). The statistics are from a recent year, and the teams are NY—Yankees, Toronto, Boston, Cleveland, Texas, Houston, San Francisco, and Kansas City. Difference 163 55 –5 88 51 16 –214 Wins 0.599 0.537 0.531 0.481 0.494 0.506 0.383 o Construct a scatter plot, find the value of the linear correlation coefficient r, and find the critical values of r from Table VI, Appendix A, p. A-14, of your textbook Elementary Statistics. Use α = 0.05. o Is there sufficient evidence to conclude that there is a linear correlation between the proportion of wins and the above difference? A classic application of correlation involves the association between temperature and the number of times a cricket chirps in a minute. Listed below are the numbers of chirps in 1 minute and the corresponding temperatures in °F: Chirps in 1 Min 882 1188 1104 864 1200 1032 960 900 Temperature(°F) 69.7 93.3 84.3 76.3 88.6 82.6 71.6 79.6 o Construct a scatter plot, find the value of the linear correlation coefficient...
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