...Editor’s Note: This Chapter is the continuation of an adaptation of a state plan for disaster preparation and response. In total, the original chapter comprises Chapters 1, 14, 16-18. Chapter Overview Many of you are reading this manual as part of your efforts to prepare as a spiritual care professional who will be ready to respond during times of disaster. Your main role will be to provide emotional and spiritual support to those affected by disaster, but it is also critical for you to understand the context in which you will be providing this support—the bigger picture, so to speak. Disaster relief operations are complex systems having more to them than just a response mechanism. They require a significant amount of pre-planning. Disaster experts have long known that waiting until a disaster strikes to test a community’s response procedures can be disastrous. How communities respond to disaster can even induce more stress on individuals and place them at risk for developing a variety of adverse reactions and psychological consequences. This section takes the first step towards introducing you to the key elements of disaster management and response at multiple levels. The focus of this chapter is on the framework of disaster planning, preparedness, and response. In the event of a disaster in your community, you may be asked and/or may want to help. It will help you to have an understanding of the structure of the overall response so that you know how your efforts will enhance...
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...The average price (Mean) =(10495+15886+10900+19500+9950+13000+15900+16000+14800+13500)/10 Mean = 139931/10 = 13993.1 The average price = 13993.1 b. Determine the median car price 9950 ,10495 , 10900 , 13000 , 13500 ,14800 ,15886 ,15900 ,16000, 19500 Median = (13500+14800) /2 =14150 2.An auctioneer sold 500 lots of restaurant equipment as follows # of lots 200 150 60 50 40 500 price per lotweighted price 20 4000 22 3300 28 1680 30 1500 50 2000 150 12480 Total Compute the average price per lot 12480 / 500 =25 Do not round to closest dollar The average price per lot is $ 25 3.If the arithmetic mean of 22 observations is 553, what will be the mean if one of the values changed from 959 mean= 553 for 22 observations mean =( x+959 )/ 22 = 553 so after solving we find that x = 11207 New mean = (11207 +453) / 22 = 530 The new mean would be 530 4.The mean of 10 numbers is 177. Nine of the numbers are as follows: 58 82 47 23 15 a) Determine the value of the missing number (58+82+47+23+15+79+36+61+25 +x )/10 = 177 to solve the equation first I will add the nine numbers togother = 426 $ 24.96 so (426+x)/10 = 177 now 177*10 = 1770 and will move the 426 to the other side as a minuse so that will be x = 1770-426 so x is 1344 The value for the missing number is 1344 b) Considering the magnitude of the missing number, is the mean a representative measure for the group of numbers? Explai yes , the mean is a representative...
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...CENTRAL TENDENCY: Mean, Median, Mode New Statistical Notation • Σ : sigma – The symbol Σ means to sum (add) the scores Central Tendency What Is Central Tendency? • A score that indicates where the center of the distribution tends to be located. • Tells us about the shape and nature of the distribution. d b Measures of Central Tendency • Mode • Median • Mean The Mode • The most frequently occurring score. • Typically useful in describing central tendency when the scores reflect a nominal scale of measurement. l f The Mode • It does not make sense to take the average in nominal data. – Gender: 67 males --- 1 50 females ---- 2 14 13 14 14 10 15 13 12 17 15 13 14 11 14 14 15 13 15 Score S 17 16 15 14 13 12 11 10 f 1 0 4 6 4 1 1 1 What is the mode? N=18 Unimodal Distributions When Wh a polygon h l has one hump (such as on the normal curve) the distribution is called unimodal. 14 15 15 14 10 15 13 12 17 15 13 12 11 12 15 12 13 12 Score S 17 16 15 14 13 12 11 10 f 1 0 5 2 3 5 1 1 What is the mode? N=18 Bimodal Distributions When distribution Wh a di ib i has two scores that are most frequently occurring, it is called d bimodal. Example Score S 7 6 5 4 3 2 1 f 1 4 5 4 6 7 9 N=36 What is the mode? Uses of The Mode • In nominal data – Since we cannot use mean or median • Also in ordinal, interval or ratio data, along with mean and median ih d di Problems...
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...Results Q-1 Gender: Gender Totals Male 12 Female 18 Mean Median Mode Range Variance 15 female female(18) 3 18 Question one was a demographic question to determine gender of survey participant. This will be helpful later on as we make comparisons between males and females and their driving habits and viewpoints. Q-2 Age Group: Age Male Female Totals 16-23 3 3 6 24-30 3 2 5 31-36 2 4 6 37-45 3 3 6 46-55 0 4 4 56+ 1 2 3 For Totals Only Mean Median Mode Range Variance 6 5-6 6 3 1.6 Question two was another demographic question to determine the age group the survey participant was a part of. This is important in drawing a conclusion as to what behavior is prevalent to what age group. For example, text messaging would be very high for the younger age groups. This data will support comparisons between age groups and what functions is deemed more important to that age group. Q-3 What type of traffic do you most often drive in? Heavy Light Combination Response 2 13 15 Mean Median Mode Range Variance 10 Light - Combination Combination 13 49 Question three when looking at both males and females regardless of age drove in a combination of traffic. Q-4 How do you most often use your cell phone? Work Personal Both Response 2 13 15 Mean Median Mode Range Variance 10 13 Both 13 49 Question four required the participant to...
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...three most common measures of center: Mean The mean is the best-known and most widely used measure of central tendency. It is what most people call the "average." The mean is calculated by adding up all the scores and dividing the result by the number of scores in the distribution. Median The median represents the exact middle of a distribution so that half of the cases are above it and half are below it. It is the middle case in a distribution when the scores are arranged in order from lowest to highest. Mode The mode is the category or score with the highest frequency in the distribution. In other words, it is the most common score, or the score that appears the highest number of times in a distribution. * Skewness A distribution is said to be skewed when the data points cluster toward one side of the scale than the other, creating a curve that is not symmetrical. In other words, the right and the left side of the distribution are shaped differently from each other. There are two types of skewed distributions. A distribution is positively skewed if the scores fall toward the lower side of the scale and there are very few higher scores. Positively skewed data is also referred to as 'skewed to the right' because that is the direction of the 'long tail end' of the chart. A distribution is negatively skewed if the scores fall toward the higher side of the scale and there are very few low scores. * Mean, median and mode of a frequency distribution: http://www...
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................................................................................ 2 3.3 Measure of Variation................................................................................2 3.0 MEAN................................................................................................................. 3 3.1 Arithmetic Mean...................................................................................... 3 3.2 Arithmetic Mean of grouped data............................................................ 4 3.3 Properties of the mean............................................................................. 5 3.4 Geometric Mean....................................................................................... 6 3.5 Harmonic Mean........................................................................................6 4.0 MODE.........................................................................................................…… 7 4.1 Locating Repeated values........................................................................ 8 4.2 Estimating the Mode by Interpolation..................................................... 8 4.3 Locating the Mode by Graphical method............................................... 9 4.4 Estimating the Mode from the Mean and Median................................... 9 5.0 STANDARD DEVIATION….......................................................................... 10 5.1 Merits of Standard...
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...company. The total count of responses analyzed was 78 with a mean of 2.82, a median of 3.00 and a mode of 2.00. Table 1 illustrates this sample, including a standard deviation of 1.21 with the majority of responses on the negative side of the scale. This indicates that the average response was slightly negative concerning the level of training currently held by each employee. Table 1 Descriptive Statistics Q1 count 78 mean 2.82 median 3.00 mode 2.00 standard dev 1.21 Question 2 – The company provided the needed training. The second question in the survey concerned how well trained the employee was by the company. The total count of responses analyzed was 78 with a mean of 2.82, a median of 3.00 and a mode of 3.00. Table 2 illustrates the sample, including a standard deviation of 1.18, with the majority of responses being neutral. This indicates that the average response was slightly negative concerning the level of training received for each employee. Table 2 Descriptive Statistics Q2 count 78 mean 2.82 median 3.00 mode 3.00 standard dev 1.18 Question 3 – You were fairly paid for the work you did. The third question in the survey concerned how well paid the employee was for their position in the company. The total count of responses analyzed was 78 with a mean of 2.94, a median of 3.00 and a mode of 2.00. Table 3 illustrates the sample, including a standard...
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...Introduction: Decision makers make better decisions when they use all available information in an effective and meaningful way. The primary role of statistics is to to provide decision makers with methods for obtaining and analyzing information to help make these decisions. Statistics is used to answer long-range planning questions, such as when and where to locate facilities to handle future sales. Definition: Statistics is defined as the science of collecting, organizing, presenting, analyzing and interpreting numerical data for the purpose of assisting in making a more effective decision. Types of Statistics: There are two types of statistics 1. Descriptive Statistics is concerned with summary calculations, graphs, charts and tables. 2. Inferential Statistics is a method used to generalize from a sample to a population. For example, the average income of all families (the population) in the US can be estimated from figures obtained from a few hundred (the sample) families. Statistical Population: Is the collection of all possible observations of a specified characteristic of interest. An example is all of the students in BUSA 3101 course in this term. Note that a sample is a subset of the population. Variable: A variable is an item of interest that can take on many different numerical values. Types of Variables or Data: 1. Qualitative Variables are nonnumeric variables and can't be measured. Examples include gender, religious affiliation...
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...[pic]Chapter 1 Introduction and descriptive Statistics 1-1. 1. quantitative/ratio 2. qualitative/nominal 3. quantitative/ratio 4. qualitative/nominal 5. quantitative/ratio 6. quantitative/interval 7. quantitative/ratio 8. quantitative/ratio 9. quantitative/ratio 10. quantitative/ratio 11. quantitative/ordinal 1-2. Data are based on numeric measurements of some variable, either from a data set comprising an entire population of interest, or else obtained from only a sample (subset) of the full population. Instead of doing the measurements ourselves, we may sometimes obtain data from previous results in published form. 1-3. The weakest is the Nominal Scale, in which categories of data are grouped by qualitative differences and assigned numbers simply as labels, not usable in numeric comparisons. Next in strength is the Ordinal Scale: data are ordered (ranked) according to relative size or quality, but the numbers themselves don't imply specific numeric relationships. Stronger than this is the Interval Scale: the ordered data points have meaningful distances between any two of them, measured in units. Finally is the Ratio Scale, which is like an Interval Scale but where the ratio of any two specific data values is also measured in units and has meaning in comparing values. 1-4. Fund: Qualitative Style: Qualitative US/Foreign: Qualitative 10 yr Return: Quantitative ...
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...______________ Mean, Median, and Mode for Grouped Data Part A – Frequency Tables The following table shows the annual salaries earned by employees of a small company: Annual salary ($) 35 500 42 750 51 000 99 000 150 000 Totals Frequency 3 5 5 1 1 15 106 500 213 750 255 000 99 000 150 000 824 250 a) What is the mean salary? To find the mean of data in a frequency table: for each row… - multiply each value by its frequency - add up these values - divide by the frequency total 3(106500) + 5(213750) + 5(255000) +1(99000) +1(150000) 15 824250 = 15 = 54950 b) What is the median salary? There are 15 employees. ∴ the salary of the 8th employee is the median. The median salary is $42750 (count down from the top of the frequency table). c) What is the mode salary? There are two mode salaries. They are $42 750 and $51 000 (both with a frequency of 5). Page 1 of 4 MAP4C Class #: _____ Date: ______________ Part B – Grouped Data If data is already grouped into intervals, only an approximation of the centre of the data can be made. For grouped data, we use the midpoint of each interval. The following table shows the number of hours per day of watching TV in a sample of 500 people: Hours Frequency 0-1 55 2-3 87 4-5 145 6-7 90 8-9 73 10-11 35 12-13 15 a) What is the mean number of TV viewing hours in this group? b) What length of time is most often spent in front of a TV for this group (mode)? c) What...
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...was the range (R), median (Md), and mean (X) for the males in the class. Range: 10 – 3 = 7 The range for males was equal to 7. Median: 3,3,3,5,6,6,6,6,6,7,7,8,10,10 6+6 = 12 12/2 = 6 The median for the males was 6. Mean: 3+3+3+5+6+6+6+6+6+7+7+8+10+10 = 86 86/14 = 6.14 The mean for the males was 6.14. 3. What was the range (R), median (Md), and mean (X) for the females in the class. Range: 10 – 3 = 7 The range for females was equal to 7. Median: 3,4,5,5,6,6,6,6,7,8,8,9,9,9,9,10 6+7 = 13 13/2 = 6.5 The median for females was 6.5. Mean: 3+4+5+5+6+6+6+6+7+8+8+9+9+9+9+10 = 110 110/16 = 6.875 The mean for males was 6.88. 4. How did your score compare to others of your gender? For example, how much above or below the median and mean was your score? Be specific. My score compared to others of my gender was higher for both median and mean. For the median my score was higher by 1.5 and for the mean it was higher by 1.12. 5. Was there any difference in the way males and females scored on this test? Be specific. If so, how might you account for this? There was a difference in in the way the males scored compared to the females on this test. The males scored lower in both median and mean compared to the females. To account for this I would show how the females scored 0.5 higher than the males for the median and 0.74 higher for the mean. 6. What was the mode (Mo), median (Md), mean (X), and range (R)for...
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...Chapter – 3 Measures of Location, Dispersion & Shape Teaching notes: The most important objective of a statistical analysis is to calculate a single value that represents the characteristics of the entire available raw data. This single value representing the entire data is called the ‘central value’ or an ‘average’. This value is the point around which all the other value of the data clusters. Therefore it is known as measure of location and since this value is located at a central point nearest to other values of the data it is also known as measure of central tendency. This chapter discusses various measures of central tendency like mean, median and mode and their use in day to day management activities. For example, the mean sales of a territory give a rough idea to the sales manager about the performance of the sales personnel in that territory. Objectives of averaging: The major objective of averaging is to arrive at a single value that is representative of the entire data. Some of the objectives of averaging are as follows |1. To find out one value that represents the whole mass of data | |The objective of averaging is to represent a set of individual values in a concise way, so that the researcher can have an | |instant idea about the size of each entity in the group. Averages help the researcher or manager to grasp the characteristics | |of the data group without studying every value...
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...Enclosure: 1. The report Acknowledgement In preparing report we thank the library manager of Dhaka Stock Exchange Mr. Attaur Rahman who supplied us with the “Monthly Review of DSE.”(A year end edition of 2003) and Library Manger of Security Exchange commission who assists us providing the information where we can collect required information. It was a great pleasure from our classmates from whom we received cordial guidance, suggestions for preparing this report specially our class representative who provided us information about the procedure in making this report. At last, we thank Officer-in-charge in Omar-Sultan Computer lab that provided us important tips in using various computer applications, software in preparing this report. We acknowledge the special assistance provided by Md. Masud Ahmed, System Engineer of ELB Cyber Cafe, Khilghon and Dhaka. Executive Summary In the report we have tried to show the application of the statistical tools upon the general index or all share index of DSE for the year 2003. To achieve the purpose, first of all we have collected the data for the year 2003. Then we have edited the data for the accuracy test. As we have collected the secondary data directly from the DSE the accuracy of the information is in a reasonable standard. Then we have tried to show the application of the statistical tools which are presented in the body part of the report in different chapters. Those chapters contain Presentation...
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...CHAPTER FOUR DATA ANALYSIS 3. Demographic profile of the respondents This analysis part divided into two parts. Respondents were asked some general questions and beside this general questions they were also asked some questions to identify the customers satisfaction on SME Loan of BRAC Bank Ltd. The analysis of general questions are given below. Table: 3.1: Gender | Frequency | Valid | Male | 32 | | Female | 3 | | Total | 35 | Graph: 3.1 To complete this report the researcher had to conduct with 35 respondents where 32 respondents were male and rest of 3 were female. The ratio can be seen graphically in the pie chart. Table: 3.2: Level of Education | Frequency | Valid | Less Than SSC | 15 | | SSC | 10 | | HSC | 5 | | BA/BSS/BSC/Honors | 5 | | Total | 35 | Graph: 3.2 The study divided my respondents’ level of education into four classes. Among them less than SSC were 15 people. SSC were 10 persons. HSC were 5 persons. And BA/BSS/BSC/Honors were 5 persons. So I can say that most of the respondents are less than SSC. I can see the ratio of the different classes of people as follows on pie chat Table: 3.3: Occupation | Frequency | Valid | Businessman | 14 | | Student | 11 | | Service holder | 5 | | Others | 5 | | Total | 35 | Graph: 3.3 After collecting the profession wise information we saw that Businessman is 14 respondents, Students 11 respondents, Service holder is 5 respondents and other is 5 respondents. Here we can see that...
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...2025 2 c. x 429 a. m 59 b. f 2 2662 c. mf 1508 2 d. m f 24,884 e. m2 867 2.47 218, 245, 256, 329, 367, 383, 397, 404, 427, 433, 471, 523, 537, 551, 563, 581, 592, 622, 636, 647, 655, 678, 689, 810, 841 2.67 d. 27.5% 2.69 c. 25% 2.71 c. 56.7% 2.73 d. Boundaries of the fourth class are $4200.5 and $5600.5; width $1400. 2.87 No. The older group may drive more miles per week than the younger group. Self-Review Test 2. 4. 8. a. f. c. 30, 67, 5 b. 7 c. 17 d. 6.5 e. 13 90 g. .30 35% 5. c. 70.8% 33, 37, 42, 44, 46, 47, 49, 51, 53, 53, 56, 60, 67, 71, 79 Chapter 3 3.5 3.11 3.13 3.15 3.17 3.19 3.21 3.23 mode 3.9 mean 3.00; median 3.50; no mode mean $3779.44; median $3250 a. mean $272.98 billion; median $162 billion b. mode $34 billion and $216 billion mean £48.515 million; median £37.6 million mean $529.67 million; median $449.5 million; no mode mean 2.92 power outages; median 2.5 power...
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