...purpose of learning more about the customers of AJ DAVIS. The first variable considered is Location, a categorical variable. The three subcategories are Urban, Suburban and Rural. The frequency distribution and pie chart are included. Measures of central tendency and descriptive statistics are not calculated due to the categorical nature of the variable. Frequency Distribution: LOCATION | FREQUENCY | Urban | 22 | Suburban | 15 | Rural | 13 | The largest number of customers belong to the Urban Location category (44%), followed by those in the Suburban Location category (30%). The least number of customers belong in the Rural Location category (26%). The next individual variable considered is Household Size, meaning the number of people living in the household. Size is a quantitative variable. The measures of central tendency and variation along with other descriptive statistics have been calculated for this variable. Descriptive Statistics: AJ DAVIS Customer Data - Household Size Total Variable Count N N* CumN Percent CumPct Mean SE Mean TrMean StDev C1 50 50 0 50 100 100 3.420 0.246 3.341 1.739 Sum of Variable Variance CoefVar Sum Squares Minimum Q1 Median Q3 C1 3.024 50.85 171.000 733.000 1.000 2.000 3.000 5.000 N for Variable Maximum Range IQR Mode Mode Skewness...
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...QUANTITATIVE ANALYSIS: DESCRIPTIVE STATISTICS Introduction Suppose that we have carried out a survey on the effect of carrying out a management audit with three groups of nine participant institutions each i.e. small medium and large. Each group was given the same survey questions in questionnaire format and the answers from the scores were tagged between 0 and 20. What is to be done with the raw scores? There are two key types of measures that can be taken whenever we have a set of scores from participants in a given condition. First, there are measures of central tendency, which provide some indication of the size of average or typical scores. Second, there are measures of dispersion, which indicate the extent to which the scores cluster around the average or are spread out. Various measures of central tendency and of dispersion are considered next. For this assignment, a survey is the type of data collection method in consideration and how the results of that survey would be analysed. SURVEYS Surveys are a very popular form of data collection, especially when gathering information from large groups, where standardization is important. Surveys can be constructed in many ways, but they always consist of two components: questions and responses. While sometimes evaluators choose to keep responses “open ended,” i.e., allow respondents to answer in a free flowing narrative form, most often the “close-ended” approach in which respondents are asked to select from a range of...
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...Teaching Statistics and Probability is great for promoting problem solving and critical thinking, enhancing communication, developing number sense, and applying computation. As it applies to every day situations and appeals to our sense of fairness, it is very close in nature to inquiry based learning. Children encounter ideas of statistics and probability outside of school every day. The data students see are often represented graphically, statistically, or probabilistically. Weather reports are just one example of probability data we hear on the news. Begin teaching probability by formulating questions. “How many children in this class prefer to eat apples?” Children are familiar with line plots, which they learned earlier, review and build on that knowledge. Next step in teaching probability is to teach to collect data: observations, survey and questionnaires, experiments, interviews, simulations, poles, examining records, and searching info sources. It is important to teach kids to use appropriate methods of collecting data. Next step is to analyze data, represent it graphically. Representing data is done in a concrete way first (laying objects on the graph), and moving towards pictorial representation (drawing a chart with pictures of items being compared), and then symbolic (line plot, pie chart). Help students understand graphic representations by asking questions about the chart. Different ways to represent graphically: line plots, stem and leaf plots, box plots, picture...
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...Concepts This article discusses a new creative approach to introducing central tendencies to students. It involves incorporating gaming techniques and concepts to make learning the new material fun and interactive. Math can be rather difficult for students of all ages. However, with this learning tactic, one may over look the difficulties and focus on the entertaining aspect. The “game” begins with the teaching of basic knowledge of central tendencies – mean, median, and mode. From there, students are introduced to the game and given a story about evil monsters and their means of survival. The story occurs in a dungeon and all the exits are blocked with monsters. There are three exits, each marked with the central tendency that describes the size of the monsters standing between that door and freedom. They are given an opportunity to choose from three doors marked mean, median, and mode with numerical values. There is no particular order the doors should be marked for each game. For example, door number one may be marked as “mode = 75” one game and marked as median = 7 for the next. Behind the door marked with “the mode” are many small monsters and a few giant monsters. Unfortunately, students who choose this door are typically eaten. It helps the students understand that the numeric value of the mode describes the different variety of creatures behind the door and which kind is most abundant behind the door. Another door marked is “the median”. With then median door...
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... It is more heaped to the left and flattens out to the right. Most of the calls were made for shorter length than for longer length. QUESTION 2 Class interval( time in minute ) | Number of EmployeeFi | Mid point Xi | FiXi | CumulativeFrequencyFi | 30 ≤ x < 4040 ≤ x < 5050 ≤ x < 6060 ≤ x < 7070 ≤ x < 8080 ≤ x < 90 | 13581223 | 354555657585 | 351352755209001955 | 149172952 | | 52 | | 3820 | | 2.2.1 Mean of grouped data X = Σ Fi Xi Σ Fi = 3820/52 = 73.46 ≈ 73.5 The mean time to complete the task is 73.5 minutes 2.2.2 The median of grouped data Median = Lmed + c (n/2 – F) Fmed = 70 + 10(56/2 – 17) 12 = 70 + 10(26-17) 12 = 70 + (0.75*10) = 70+7.5 ≈ 77.5 minutes 2.2.3 Mode of grouped data Mode = Lmod + c (fm-fm-1) 2 fm-fm-1-fm+1 = 80+10(23-12) (2*23)-12-0 = 80+10(11) 46-12 = 80+110 34 = 80+3.2353 ≈ 83.2 minutes 2.2.4 Time (minutes) | fi | xi | Fi xi | xi - x | (xi – x)2 | (xi x)2 fi | | 30 – 4040 – 5050 – 6060 – 7070 – 8080 - 90 | 13581223 | 354555657585 |...
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...Studies? It shows on the pie chart, 46% from the agent, 24% Friends and relative, 21% school/ career advisor, 6% Internet/ facebook and one person said radio, another one said by chance. Recommendation: Instead spending on radio, Crown should get more agents, as a lot of students hear about Crown by them. Q2. How many new friends have you made at Crown? The distribution is Bimodel, mode for female is 5, male is 10; Range of female is 19, male is 27. Recommedation: female should more active to make friends. Q3. What is the main reason you decided to study at Crown? The pie chart shows that 25% for uni, 27% fast quals, 12% subject areas and reputation, 11% recommended, 10% Eviron friends, 7% Travel and 6% for getting jobs. Recommendation: we can give advertisements in travel agency to get more students who want to travel, learning English and business skills or education websites. Q4. How many months do you have left to study at Crown? The distribution is Normal, the mean is 9, strandard is 6 and it has two outlier which are 26 months and 30 months. Recommend: Encourage students focus on their learning, and they can finish school earlier in order to pursue their target in the future. Q5. How many people have you recommended Crown to? The distribution is Right Skew with median 2 and IQR 7. Rcommendation: consider the suggestion from the student, gives some improvement, and keep good quality of teaching for encouraging students recommend people come to Crown. In conclusion, this...
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...TABLE OF CONTENTS 1.0 Introduction 2.0 Individual Variable: Income 3.0 Individual Variable: Size 4.0 Individual Variable: Credit Balance($) 5.0 Pairing of Variables: Income($1000) vs. Years 6.0 Pairing of Variables: Credit Balance($) vs. Income($1000) 7.0 Pairing of Variables: Credit Balance($) vs. Location 8.0 Conclusion 9.0 References List 1.0 Introduction This report is done base on a sample of 50 credit customers with AJ DAVIS is selected with data collected base on five variables as following: • Location (Rural, Urban, Suburban) • Income (in $1,000's) • Size (Household Size, meaning number of people living in the household) • Years (the number of years that the customer has lived in the current location) • Credit Balance (the customers current credit card balance on the store's credit card, in $). To have more understand of what the data truly mean, three of individual variable and three of pairing variable are analyzed by using numerical techniques of summarization as and graphical such as stem-leaf diagram, histogram, boxplot, and bar chart on this report. Since a bar graph is useful...
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...our results from the TKI to learn new conflict resolution skills. Frequently, our emotions and desires can make communication difficult. Use the Thomas-Kilmann questionnaire to learn what others are doing in those situations and learn to understand your own behavior during tense moments. You can master these challenges with knowledge and practice. The Five Conflict-Handling Modes The Thomas-Kilmann Conflict Mode Instrument (TKI) assesses an individual’s behavior in conflict situations—that is, situations in which the concerns of two people appear to be incompatible. In conflict situations, we can describe a person’s behavior along two basic dimensions*: (1) assertiveness, the extent to which the individual attempts to satisfy his or her own concerns, and (2) cooperativeness, the extent to which the individual attempts to satisfy the other person’s concerns. These two dimensions of behavior can be used to define five methods of dealing with conflict. These five conflict-handling modes are shown below: C O M P E T I N G Competing is assertive and uncooperative, a power-oriented mode. When competing, an individual pursues his or her own concerns at the other person’s expense, using whatever power seems appropriate to win his or her position. Competing might mean standing up for your rights, defending a position you believe is correct, or simply trying to win. C O L L A B O R A T I N G Collaborating is both assertive and cooperative. When collaborating...
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...Data From Water Park | Type of Guest | % of visitors during peak season | Singles under 25 | 25 | Singles over 25 | 12 | Couples under 25 | 6 | Couples over 25 | 18 | Family groups | 39 | Statistics Assignment Part 1 a) We have obtained the data from both hotel and water park on the basis of number of visitors categorised according to their age groups during peak season. The data has been graphically presented below to compare and see if water park is a suitable excursion place for holiday makers to stay at the hotel. Data From Hotel | Type of Guest | % of visitors during peak season | Singles under 25 | 17 | Singles over 25 | 9 | Couples under 25 | 3 | Couples over 25 | 20 | Family groups | 51 | Graphical representation of both the data obtained from hotel and the water park are given below; From the graphs above, it is clear that the number of visitors according to their categories are similar in both hotel and the water park. Both for hotel and water park data we see that good number of visitors in hotel as well as water park are couples and family group. The graphical representation for the number of visitors for both hotel and water park shows increasing order from couples under 25 to couples over 25 and then to family groups. Whereas, the graphical representation of visitors number who are single is declining for hotel and water park too. This shows that the water park is attraction point for couples and mainly family group...
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...Define the following terms: Descriptive statistics is the term to describe the main or basic features of a research study. Scales of measurement is the term to describe the four scales of measurements: Nominal, Ordinal, Interval, and Ratio. Measures of central tendency is the term to describe the mean, median, and mode. Frequency distributions is the term to describe the process in dividing the groups in the research. Correlation coefficient is the term to describe the Pearson’s r (strength of the relationship between two things). Effect size is the term to describe the strength of an event. Multiple regression is the term to describe the process of the prediction of one value, based on two or more other values. How are group means, percentages, and correlations used to describe research results? Group means is used to take the responses of two or more groups, and find the “middle ground” between them. Utilizing group percentages means that the researcher takes the number of participants and turns that into a percentage for descriptive purposes. Individual correlations are utilized when the researcher compares the individual based on two variables in the study. (Cozby, 2009) How can graphs be used to describe and summarize data? The researcher can put the gathered information together a graph, making it easier for the reader to understand the outcome of the study, visually. A researcher is studying reading rates in milliseconds per syllable. What scale...
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...With the launching of Heavenly Chocolates’ website and online sales exceeding company’s expectations, the managerial team is interested in learning about online shoppers behaviors so they can make better managerial decisions based on its findings. This report is based on a sample of 50 online transactions picked randomly from Heavenly Chocolates’ website and uses descriptive statistics methods to learn more about customers. More specifically, it will cover the time spent on website, number of pages viewed, and money spent during their visit to the website, as well as the relationships among these variables. In addition, it discusses the effect that the day of the week and the type of browser have on sales. Online shoppers spend a median time of 12 minutes browsing on website In this particular case, the median is a better measure of central tendency because the data presents extreme values (e.g.32.9) that pull the mean towards the right causing skewness in the distributional shape. About 78% of online shoppers spend between 4 and 16 minutes navigating the website. The upper 25th percentile spend between 15.30 and 32.9 minutes navigating the website. As we can see from previous values mentioned, there is high variability in the dispersion of this data with a standard deviation of 6.06. The number of pages viewed is approximately bell-shaped with a slight rightward skewness of 0.65. Although there is no great difference between the mean (4.82) and the median 4.5, the median is...
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...Question 1 a) EMPLOYMENT CATEGORY Frequency Percent Valid Percent Cumulative Percent Valid CLERICAL 227 47.9 47.9 47.9 OFFICE TRAINEE 136 28.7 28.7 76.6 SECURITY OFFICER 27 5.7 5.7 82.3 COLLEGE TRAINEE 41 8.6 8.6 90.9 EXEMPT EMPLOYEE 32 6.8 6.8 97.7 MBA TRAINEE 5 1.1 1.1 98.7 TECHNICAL 6 1.3 1.3 100.0 Total 474 100.0 100.0 In the left most column, all job category are listed. The Frequency column records the number of observations that fall within a particular job category. As I have sorted our using SPSS, Clerical, Office Trainee, Security Officer, College Trainee, Exempt Employee, MBA Trainee, and Technical job category represent 227, 136, 27, 41, 32, 5, and 6 respectively out of the total employees of 474. The percent column shows how much each job category possesses of total employees. As you can see, as Clerical, Office Trainee, Security Officer, College Trainee, Exempt Employee, MBA Trainee, and Technical employment category represent 47.9%, 28.7%, 5.7%, 8.6%, 6.8%, 1.1% and 1.1% respectively. The Cumulative frequency column lists the total of each frequency added to its predecessor, such as, Clerical job category itself represents 47.9% of all employees and then Office Trainee job category represents 28.7%, but both Clerical and Office Trainee represents 76.6% of the total population. If we consider, Clerical, Office Trainee, and Security Officer; all of them represent 82.3% of the total employees. This is what cumulative percent...
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...I've selected GENDER and EXTRINSIC from data sheet. Here's Question:QMB350-1001A-07 Statistical Analysis Assignment Name: Unit 1 Individual Project Deliverable Length: 3 pages Details: The data set for our course is a sample of a survey conducted on the population of the American Intellectual Union (AIU). It is available via the following link: DataSet with DataSet Key which contains the following nine sections of data that will be used throughout our course: (1) Gender (2) Age (3) Department (4) Position (5) Tenure (6) Overall Job Satisfaction (7) Intrinsic Job Satisfaction – Satisfaction with the actual performance of the job (8) Extrinsic Job Satisfaction- Things external to the job, e.g., office location, your work colleagues, your own office (cubicle/hard walled office, etc), and (9) Benefits – Health insurance, pension plan, vacation, sick days, etc. In each of the assignments in this course you will be dealing with the following scenario: American Intellectual Union (AIU) has assembled a team of researchers in the United States and around the world to study job satisfaction. Congratulations, you have been selected to participate in this massive global undertaking. The study will require that you examine data, analyze the results, and share the results with groups of other researchers. Job Satisfaction is important to companies large and small and understanding it provides managers with insights into human behavior that can be used to strengthen the company's bottom line...
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...| 3.Midday | 4 | 4.Early Afternoon | 4 | 5.Late Afternoon | 1 | 6.Night Time | 0 | Mean | Median | Mode | 3.5 | 3.5 | 2 | Results: Question 1 examines the time of the day university students tended to visit Monash Cafes. Ten students were asked what was the main type of day they would visit Monash Cafes, more than one option could have been chosen. The evidence and results obtained as presented above shows that more students visit Monash Cafe’s earlier in the day. The mode of the data (most picked time of day) was Mid Morning. Only 1 student said that they visit a Monash Cafe Late Afternoon and not 1 person said they visit Monash Cafes Night Time. Q2 Which of the following options best represents your most current purchase behaviour at Monash Cafeterias? | Behaviour | Frequency | 1.Always take away | 5 | 2.Usually take away | 3 | 3.Mix of eat in and take away | 2 | 4.Usually eat in | 1 | 5.Always eat in | 0 | Mean | Median | Mode | | | 1 | Results: Question 2 dealt with the behaviour of customers after their purchase in regards to eating in or takeaway. The results shows that the majority of customers of Monash Cafeteria’s tended to take away their purchase. Sample size: 50 Score | Frequency | 1 | 0 | 2 | 0 | 3 | 2 | 4 | 11 | 5 | 17 | 6 | 13 | 7 | 7 | Mean | Median | Mode | 4 | 4 | 5 | Study 3: Study 3 combined all questions relating to the tangible aspects of Monash Cafeteria’s...
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...topic, it allows managers to gain awareness into the human behaviors that can build up the company’s bottom line. This paper will be examining gender and intrinsic job satisfaction while discussing the results of this evaluation in full detail. Method The data that has been selected for qualitative data is gender. The reason why gender was selected for qualitative data is because this may have an impact on job satisfaction in businesses. In many cases, the average calculation for the mean, median, and mode are unsatisfactory methods to determine qualitative data. However, the gender within this study is labeled with 1 and 2, and this would be considered appropriate. The mean that was calculated in this assignment was 1.275 rounded to 1.28 which demonstrated that the sample consisted of more men than women. The median was found by taking all of the numbers and putting them into numerical order and finding the number located in the middle of the data. This number was 1. The mode would be the most occurring number within the sequence. With analyzing gender, the most commonly used number in this sequence is 1. The variance for this sequence was 0.20. This was found by taking a set of the data values from the mean and squaring the average deviation. The standard deviation was...
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