...Health and Safety Executive Health and Safety Executive Annual Statistics Report 2011/12 The Health and Safety Executive Statistics 2011/12 KEY FACTS WORK-RELATED ILL HEALTH WORKPLACE INJURY ENFORCEMENT OTHER TOPICS www.hse.gov.uk SOURCES AND DEFINITIONS Ill health 1.1 million people who worked during the last year were suffering from an illness (long-standing as well as new cases) they believed was caused or made worse by their current or past work. 0.5 million of these were new conditions which started during the year. A further 0.7 million former workers (who last worked over 12 months ago) were suffering from an illness which was caused or made worse by their past work. 2347 people died from mesothelioma in 2010 and thousands more from other occupational cancers and diseases such as COPD. Injuries 173 workers were killed at work, a rate of 0.6 fatalities per 100 000 workers. 111 164 other injuries to employees were reported under RIDDOR, a rate of 445.4 per 100 000 employees. 212 000 injuries leading to over-3-day absence occurred, according to the Labour Force Survey, a rate of 750 per 100 000 workers. 1 Key facts Working days lost 27 million days were lost overall (17 days per case). 22.7 million due to work-related ill health and 4.3 million due to workplace injury. Economic costs to Britain Workplace injuries and ill health (excluding cancer) cost society an estimated £13.4 billion in 2010/11. Enforcement 551 cases were prosecuted by HSE in England...
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...any of these are missing, you will not get full points for DQs. Your follow up posts should be at least 100 words, and MUST be in your own words. Textbook: Grove, S. K. (2007). Statistics for health care research: A practical workbook. Edinburgh: Elsevier Saunders. Topic 1 DQ 1: How can graphics and/or statistics be used to misrepresent data? Where have you seen this done? Statistics are used everywhere, every day to represent a multitude of data, or study sample. Sample characteristics are the traits that depict the study sample and can be portrayed in either some type of table or in an article (Grove, 2007). “Descriptive statistics are used to generate sample characteristics, and the type of statistic used depends on the level of measurement or the demographic variables included in the study” (Grover, 2007, p.75). It is this information and data that is presented can be misrepresented, either unethically or simply because the data is misunderstood. According to Statistics (2013), data can be misrepresented three ways: 1) misunderstanding the data presented, 2) using incomparable definitions, and 3) by deliberately misinterpreting the data presented, especially if it is a biased representation. An example of misunderstanding the data presented could be someone that is researching crime statistics in an area where they are looking to relocate and raise a family; if they do not understand the manner in which the data is being presented, it could be more than easy for them to...
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...Assignment One: Data Sheet 1 Kimmy Givins NorthCentral University Dr. Boysen-Rotelli 08/10/2014 Date File 1 Chapter One 1) Determine whether the evaluated group is a population or a sample. a) Based on a randomly selected group of 500 patients with high cholesterol, it was found that 67% have heart disease. Is this a population or a sample; explain your answer. Sample is made up of of the raw data collected from 500 patients which is the sample and 67% is the sample statistics. Bennett, Briggis, & Triola (2009) the raw data is collected from a subnet of patient with high cholesterol (p.3). Which indicate this as a sample from the raw data and sample statistics. b) An investigation of 150 randomly selected local restaurants concluded that 42% of local...
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...FITNESS LEVEL AT IFMR [Document subtitle] Contents PROBLEM STATEMENT 2 Research Objective 2 INTRODUCTION 2 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...
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...truth. 3. Test Statistic - A sample statistic (often a formula) that is used to decide whether to reject H0 . 4. Rejection Region- It consists of all values of the test statistic for which H0 is rejected. This rejection region is selected in such a way that the probability of rejecting true H0 is equal to α (a small number usually 0.05). The value of α is referred to as the level of significance of the test. 5. Assumptions - Statements about the population(s) being sampled. 6. Calculation of the test statistic and conclusion- Reject H0 if the calculated value of the test statistic falls in the rejection region. Otherwise, do not reject H0 . 7. P-value or significance probability is defined as proportion of samples that would be unfavourable to H0 (assuming H0 is true) if the observed sample is considered unfavourable to H0 . If the p-value is smaller than α, then reject H0 . Remark: 1. If you fix α = 0.05 for your test, then you are allowed to reject true null hypothesis 5% of the time in repeated application of your test rule. 2. If the p-value of a test is 0.20 (say) and you reject H0 then, under your test rule, at least 20% of the time you would reject true null hypothesis. 1. Large sample (n > 30) test for H0 : µ = µ0 (known). Z= x − µ0 ¯ σ √ n Example. A study reported in the Journal of Occupational and Organizational Psychology investigated the relationship of employment status to mental health. Each of a sample of 49 unemployed men was given a mental health examination using...
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...Goudy RES/351 July 6, 2015 Tracy Sipma Descriptive statistics Descriptive statistics suggests a straightforward quantitative outline of a data-set which has been gathered. It helps us comprehend the experimentation or data-set in-detail and tells people concerning the mandatory details that help show the data perceptively. Descriptive statistics, we just convey exactly what the data reveals and tell us. Most of the statistical averages and numbers we estimate are essentially illustrative averages. For instance the Dow Jones Industrial tells us about the typical performance of select firms. The grade-point avg. tells us about the typical performance of a pupil in school. The GDP growth rate tells us about the typical performance of a state. Therefore illustrative statistics attempts to catch a sizable group of observations and offers us some concept concerning the data-set. Descriptive statistics aims to describe data set information with summary graphs and tables (Linda Hollis, n.d.). Inferential Statistics Inferential statistics includes drawing the correct conclusions from your statistical evaluation that's been performed using descriptive data. Ultimately, it really is the inferences that make studies significant and this element is dealt with-in inferential data. Most forecasts of the potential and generalizations of a population by analyzing a smaller sample come under the scope of inferential statistics. Many social sciences experiments offer with analyzing a little...
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...parts of the SPSS Statistics Viewer called? The two parts of the SPSS Statistics Viewer are called Outline pane and Contents pane. 3. What is a frequency distribution? A frequency distribution is the numeric display of how many times a number is shown and relative percentage of times it occurs in a sample. 4. In a frequency distribution, what information does the column labeled “Frequency” contain? The column labeled “Frequency” contain information on how many of responded. 5. In a frequency distribution, what information froes the column labeled “Valid Percent”...
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...KNOWLEDGE BECAUSE I CARE FOR YOU! QNT 351 FINAL EXAM ANSWERS, TRUST ME THIS IS 100 A+ RESULTS 30/30 AND I GUARANTEE, THEY ARE AUTHENTIC AND FREE!! 1) PORPUSE OF DESCRIPTIVE STATISTICS: A) SUMARIZE DATA IN USEFUL INFORMATIVE MANNER 2) PROCESS OF GATHERING, ORGANIZING, SUMMARIZING, ANALYZING AND INTERPRAQTING DATA: A) STATISTICS 3)THE PREFORMANCE OF PERSONAL AND BUSINESS INVESTMENTS IS MEASURED AS PERCENTAGE...: B) CONTINUOUS 4) WHAT TYPE OF VARIABLE IS THE NUMBER OF ROBBERIES REPORTED IN YOUR CITY: D) DISCRETE 5) WHAT LEVEL OF MEASUREMENT IS THE MUMBER OF AUTO ACCIDENTS...... D) RATIO 6) THE NAMES OF THE POSITIONS IN A CORPORATION.... A) NOMINAL 7) SHOE SIZES, 7B, 10d AND 12EEE ARE EXAMPLES OF... C) INTERVAL 8) MONTHLY COMMISSIONS AF FIRTS YEAR INSURANCE BROKERS ARE..... B) RAW DATA 9) A SMALL SAMPLE OF COMPUTER OPERATORS SHOWS MONTHLY INCOMES OF $1,950.... D) RAW DATA 10) THE SUM OF DEVIATIONS ARE OF EACH DATA... B) MEAN 11) FOR ANY DATA SET WHICH MEASURES CENTRAL LOCATION.... D) MEAN AND MEDIAN 12) A SAMPLE OF A SINGLE PERSONS RECEIVING SOCIAL SECURITY.... D) 3 13) DOTPLOT SHOWS A) THE GENERAL SHAPE OF A DISTRIBUTION 14) THE TEST SCORES FOR A CLASS OF 147..... A) 111 15) THE NATIONAL CENTER FOR HEALTH STATISTICS REPORTED THAT EVERY 883 DEATHS... A) 24/883 OR 0.027 16) IF TWO EVENTS A AND B ARE MUTUALLY EXCLUSIVE WHAT DOES THE SPECIAL.... A) P(A OR B) = P(A) + P(B) 17) A LISTING...
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...the Development of Statistics September 2007 This paper has been prepared by the Development Data Group of the World Bank and the PARIS21 Secretariat at the request of the PARIS21 Steering Committee. It is part of the follow-up to the Third International Roundtable on Managing for Development Results in Hanoi in February 2007 and the meeting on scaling up support for statistics held during the World Bank and IMF Spring Meetings in Washington in April 2007. Scaling-up Support to Statistics Executive summary This paper briefly discusses why scaling up investment in National Statistical Systems is needed and then focuses on how this could be achieved by applying a system-wide approach, drawing lessons from the Sector-Wide Approaches (SWAps) used successfully in areas such as health, education and agriculture. It argues that an effective and efficient National Statistical System is essential for managing for development results. Investments in statistics are needed, just as much as in areas such as financial management and procurement. National Statistical Systems provide the data needed to develop appropriate policies, to target scarce resources, to measure progress, to make effective use of aid and to monitor and evaluate outcomes. At the Third International Roundtable on Managing for Development Results, which was held in Hanoi in February 2007, participating country teams emphasized that to be successful any scaling up of support to statistics must be grounded in...
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...easily think of two people you know where the shorter one is heavier than the taller one. Nonetheless, the average weight of people 5'5'' is less than the average weight of people 5'6'', and their average weight is less than that of people 5'7'', etc. Correlation can tell you just how much of the variation in peoples' weights is related to their heights. Although this correlation is fairly obvious your data may contain unsuspected correlations. You may also suspect there are correlations, but don't know which are the strongest. An intelligent correlation analysis can lead to a greater understanding of your data. Techniques in Determining Correlation There are several different correlation techniques. The Survey System's optional Statistics Moduleincludes the most common type, called the Pearson or product-moment correlation. The module also includes a variation on this type called partial correlation. The latter is useful when you want to look at the relationship between two variables while removing the effect of one or two other variables. Like all statistical techniques, correlation is only appropriate for certain kinds of data. Correlation works for quantifiable data in which numbers are meaningful, usually quantities of some sort. It cannot be used for purely categorical data, such as gender, brands purchased, or favorite color. Rating Scales Rating scales are a controversial middle case. The numbers in rating scales have meaning, but that meaning isn't very...
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...Assignment 2 Part A QUESTION 1 Table 1: Descriptive Statistics of Age | | n | Minimum | Maximum | Mean | Std. Deviation | Age (years) | 250 | 20 | 59 | 39.16 | 10.438 | Based on Table 1, the respondents in the sample have mean age of 39.16 years with a standard deviation of 10.438 years. The 95% confidence interval on the mean age is calculated as below: Y±1.96σnN-nN-1 =39.16±1.9610.4382502000-2502000-1 =39.16±1.96 0.62 =39.16±1.22 =37.94 , 40.38 Conclusion: We are 95% confident that the mean age of the population of the respondents with smoking habits is between 37.94 years and 40.38 years. QUESTION 2 Table 2(a): Descriptive Statistics of Income for Male | | n | Minimum | Maximum | Mean | Std. Deviation | Monthly Income ($) | 120 | 1800 | 5800 | 3605.83 | 1171.962 | Table 2(b): Descriptive Statistics of Income for Female | | n | Minimum | Maximum | Mean | Std. Deviation | Monthly Income ($) | 130 | 1800 | 5800 | 3746.15 | 1244.844 | Table 2(a) shows that the mean and standard deviation of the income for male respondents are $3, 605.83 and $1, 171.96 respectively. Table 2(b), on the other hand, shows that the mean and standard deviation of income for female respondents are $3, 746.15and $1, 244.84. (i) The sample mean is calculated as below: YST= NiYiN = N1Y1+ N2Y2N = 11003605.83+9003746.152000 = 73379482000 = 3668.974 (ii) (iii) The standard error is calculated as below: SE= 1NNi2Ni-niNi-1si2ni ...
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...Writing up the Portfolio for Human Nutrition – Assessment = 40% module mark. The portfolio should be written in the form of a single laboratory report. This means it will be presented in a format that you are familiar with by now. Below are the relevant sections with guidance points. I have put in the title and aims to start you off. Title: Measurement of indices of nutritional status and health in a group of LSBU undergraduate students Aims: To record measurements of 1 )Body composition, blood glucose and haemoglobin in all subjects. 2) To make measurements of bone density and grip strength in female subjects and grip strength only in male subjects. 3) To complete a personal diet diary and assess nutrient intake on an individual basis. Introduction: Tips - Give a brief (around 2 sides) introduction of the area. Mention why the tests are useful and who might use them and who might be interested in the type of data produced (clinicians, public health practitioners, research scientists etc). Methods: Tips - Describe the methods you used to achieve the aims. The basic rule for a methods section is that it should be reproducible by a third party who was not present at the sessions. Include as much detail as you feel necessary to achieve this. Results: Tips – Report your personal data and also the group findings available on the spreadsheet. You do not need to do this for the diet diary data as this would be too much data to consider. For the diet diary you can just report...
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...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: A Practical Workbook. W.B. Saunders Company, 022007. VitalBook file. EXERCISE...
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...YOUR ECONOMETRICS PAPER BASIC TIPS There are a couple of websites that you can browse to give you some ideas for topics and data. Think about what you want to do with this paper. Econometrics is a great tool to market when looking for jobs. A well-written econometrics paper and your presentation can be a nice addition to your resume. You are not expected to do original research here. REPLICATION of prior results is perfectly acceptable. Read Studenmund's Chapter 11. One of the most frustrating things in doing an econometrics paper is finding the data. Do not spend a lot of time on a topic before determining whether there is data available that will allow you to answer your question. It is a good idea to write down your ideal data set that would allow you to address your topic. If you find that the available data is not even close to what you had originally desired, you might want to change your topic. Also, remember that knowing the location of your data – website, reference book, etc – is not the same as having your data available to use. It may take a LONG time to get the data in a format that EVIEWS can read. Do not leave this till the last minute. For most data, I enter the data into Excel first. I save the Excel sheet in the oldest version, namely MS Excel Worksheet 2.1 . The reason is that format can be read by most programs whereas newer formats may or may not be read. Eviews easily reads an Excel sheet 2.1 version. You should use the...
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...e YOUR ECONOMETRICS PAPER BASIC TIPS There are a couple of websites that you can browse to give you some ideas for topics and data. Think about what you want to do with this paper. Econometrics is a great tool to market when looking for jobs. A well-written econometrics paper and your presentation can be a nice addition to your resume. You are not expected to do original research here. REPLICATION of prior results is perfectly acceptable. Read Studenmund's Chapter 11. One of the most frustrating things in doing an econometrics paper is finding the data. Do not spend a lot of time on a topic before determining whether there is data available that will allow you to answer your question. It is a good idea to write down your ideal data set that would allow you to address your topic. If you find that the available data is not even close to what you had originally desired, you might want to change your topic. Also, remember that knowing the location of your data – website, reference book, etc – is not the same as having your data available to use. It may take a LONG time to get the data in a format that EVIEWS can read. Do not leave this till the last minute. For most data, I enter the data into Excel first. I save the Excel sheet in the oldest version, namely MS Excel Worksheet 2.1 . The reason is that format can be read by most programs whereas newer formats may or may not be read. Eviews easily reads an Excel sheet 2.1 version. You should use...
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