Math 533 - 2086 Words

Brief Introduction: AJ Davis is a department store chain, which has many credit customers and want to find out more information about these customers. AJ Davis has complied a sample of 50 credit customers with data selected in the following variables: Location, Income (in $1,000’s), Size (Number of people living in the household), Years (number of years the customer has lived in the current location), and Credit Balance (customers current credit card balance on the store’s credit car, in $). The manager at AJ Davis has speculated the following: a. The average (mean) annual income was less than $50,000. b. The true population proportion of customers who live in an urban area exceeds 40% c. The average (mean) number of†¦show more content†¦* My calculated test statistic of -2.07 falls in the rejection region of z lt; -0.1645, therefore, I would reject the null hypothesis and say there is sufficient evidence to indicate ult;50 or $50,000. b. The true population proportion of customers who live in an urban area exceeds 40% * 22 of the 50 surveyed live in the Urban area, which is 44% or 0.44, this is the point estimate for p. * Therefore my hypothesis would be * Ho: = 0.40 vs. Ha: pgt;0.40 * In order to conduct the large sample z-test, we first need to verify that the sample size is large enough. * nPo= 50(0.40) = 20 and 50 (1-0.44) = 30, both are larger than 15, so we can conclude that sample size is large enough to apply the large sample z test. * Z= (0.44 – 0.400)/ 0.69282= 0.58 where s phat= sqrt (((0.40) (0.60))/50= 0.069282 * This is a one tailed (upper or right since HA has â€Å"gt;†). Our rejection regions would be z gt; 1.645. * 0.58 is not greater than 1.645 (and is not in the rejection regions) so we would not Reject the Ho. * The p-value= 0.282. The p-value is another complementary and equally valid way we can evaluate the null and alternative hypotheses is by looking at the p-value and compare the p-value to alpha. If the p-value is less than alpha, reject the null hypothesis and accept the alternativeShow MoreRelatedMath 533 Part B1210 Words   |  5 Pagesï » ¿ PROJECT PART B: Hypothesis Testing and Confidence Intervals Math-533 Applied Managerial Statistics Prof. Jeffrey Frakes December 8, 2014 Jared D Stock A.) The average (mean) annual income was greater than $45,000 Null Hypothesis: The average (mean) annual income is greater than or equal to $45,000. Ho: u $45,000 Alternative Hypothesis: The average (mean) annual income was less than $45,000 Ha: u $45,000 I will use a = .05 as the significance level, andRead MoreMath 533 Part C1131 Words   |  5 Pagesï » ¿ PROJECT PART C: Regression and Correlation Analysis Math-533 Applied Managerial Statistics Prof. Jeffrey Frakes December 12, 2014 Jared D Stock 1. Generate a scatterplot for income ($1,000) versus credit balance ($), including the graph of the best fit line. Interpret. This scatter plot graph is a representation of combining income and credit balance. It shows the income increasing as the credit balance increases. As a result of this data it can be inferred that thereRead MoreEssay on Math 533 Final Exm1741 Words   |  7 PagesMATH 533 Final Exm Click Link Below To Buy: http://hwcampus.com/shop/math-533-final-exm/ Or Visit www.hwcampus.com 1. (TCO A)Consider the following sample data on the age of the 30 employees that were laid off recently from DVC Inc. 21 38 20 26 37 52 37 24 45 20 50 49 44 30 29 42 56 46 60 30 32 25 47 55 38 Read MoreMath 533 Part C Essay2020 Words   |  9 PagesAugust 26, 2012 MATH 533 Course Project Part C Professor Khago Introduction: The following report displays regression and correlation analysis for AJ Davis Department Stores data on credit balance and size. We will use the data collected from 50 credit customers to complete the following analysis; * Generate a scatterplot for CREDIT BALANCE vs. SIZE, including the graph of the best fit line. Interpret. * Determine the equation of the best fit line, which describes the relationshipRead MoreEssay on Math 533 - Course Project Part a948 Words   |  4 PagesAJ DAVIS is a department store chain, which has many credit customers and wants to find out more information about these customers. A sample of 50 credit customers is selected with data collected on the following five variables: LOCATION (Rural, Urban, Suburban) INCOME (in $1,000s – be careful with this) 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 currentRead MoreMath 533 Course Project Part B Essay1482 Words   |  6 PagesAJ DAVIS AJ DAVIS MATH 533 Project Consumer Tel – 123-456-7891 July 21st 2013 MATH 533 Project Consumer Tel – 123-456-7891 July 21st 2013 Lakshan Nanayakkara AJ DAVIS is a department store chain, which has many credit customers. A sample of 50 credit customers is selected with data collected on location, income, credit balance, number of people and years lived in the house Lakshan Nanayakkara AJ DAVIS is a department store chain, which has many credit customers. A sample of 50 creditRead MoreKeller Math 533 Project Part B1734 Words   |  7 PagesMath 533 Project Part B In regards to the dataset from AJ Department store, your manager has speculated the following: the average (mean) annual income is less than $50,000, the true population proportion of customers who live in an urban area exceeds 40%, the average (mean) number of years lived in the current home is less than 13 years, the average (mean) credit balance for suburban customers is more than $4300. Part 1. Using the sample data, performRead MoreMATH 533 Course Project Data AJ DAVIS1178 Words   |  5 Pagesï » ¿A. Brief Introduction There are 50 credit customers who were selected for the data collection on five variables such as location, income, size, years, and credit balance. In order to understand more about their customer, AJ DAVIS must use graphical, numerical summary to be able to interpret and better expand their business in the future. B. Discuss your 1st individual variable, using graphical, numerical summary and interpretation A histogram shows the distribution of data within the IncomeRead MorePart B Course Project Math 533 Essay1868 Words   |  8 PagesCourse Project Part B a. the average (mean) annual income was less than $50,000 Null and Alternative Hypothesis H0: mu= 50 (in thousands) Ha: mult;50 (in thousands) Level of Significance Level of Significance = .05 Test Statistic, Critical Value, and Decision Rule Since alpha = .05, zlt;-1.645, which is lower tailed Rejection region is, zlt;-1.645 Calculate test statistic, x-bar=43.74 and s=14.64 Z=(43.74-50)/2.070=-3.024 2.070 is calculated by: s/sq-root ofRead MoreMath 533 Week 2 Course Project: Aj Davis Department Stores (Part a)623 Words   |  3 PagesMATH 533 WEEK 2 COURSE PROJECT: AJ DAVIS DEPARTMENT STORES (PART A) To purchase this, Click here http://www.activitymode.com/product/math-533-week-2-course-project-aj-davis-department-stores-part-a/ Contact us at: SUPPORT@ACTIVITYMODE.COM MATH 533 WEEK 2 COURSE PROJECT: AJ DAVIS DEPARTMENT STORES (PART A) MATH 533 Week 2 Course Project: AJ Davis Department Stores (Part A) MATH 533 Week 2 Course Project: AJ Davis Department Stores (Part A) MATH 533 Week 2 Course Project: AJ Davis Department

Analysis Of Zach Inglis s Scene Breakdown Of The Film

In examining Zach Inglis’s scene breakdown of ‘Better Places to Go’, the document gave an overwhelming sense of dialogue and plot rather than a scene-by-scene breakdown of the film. I noticed that this document is a scene breakdown and treatment combined which was not the task, making it difficult to mark. Some issues within the document that I wish to raise are formatting (abiding by editing house requirements, audio), the structure (layout, scene consistency), writing (readability), and characters (setting up the protagonist, inclusion of characters). The mere physical format of the scene breakdown does not adhere to the standards of the document expectations nor the task set. Within the document, there are some formatting issues, the inclusion of scene numbers, which would be helpful to find examples within large bodies of text and the consistency of spacing between scene headings and paragraphs. This will allow the reader’s eye to rest. The opening scene sets up the film and has been executed well in order to visualize the setting. However, I found a number of structural elements that I am concerned about in this document, one of them is recognising new scenes for example when leaving the bandstand scene, we are back at the diner with Judy, alone; this is done without dividing the scenes. This is also repeated when Judy is in the kitchen and it cuts to another scene without leaving the current one or acknowledging that the kitchen scene is a flashback. This makes

A slave’s diary Free Essays

Day 1 The worst possible has happened I have had my home stricken from me by a white skinned demon and am now delimited to a water bound hell. Each lapping wave from the tempestuous sea that carries us to our unknown destination takes a small part of my resolve in its wake. I am fettered to a long pole and my movements are restricted by a chain which runs through the various binds of my neighbours. We will write a custom essay sample on A slave’s diary or any similar topic only for you Order Now Once the white men took one of our number out of this place, although I think that it is not out of any form of kindness as he came back pained the smell of burning flesh following close behind. I sit here next to members of the mugimbi tribe and as such there is not much for conversation; the chafing of my binds burns me just as many a question burns my mind. What is this place? Why are we here? Is this hell? Am I dead? I hope that the answers will come to me before long because I sense that I will not be leaving this place soon. Day 12 I am still locked in this place. It has become difficult to distinguish night from day, to distinguish the smell of decay emitting from the first of our number to pass away, mostly children, and the smell of our own excrement. But it is not the smell that bothers me it is the cacophony of children’s screams and women’s cries, this is inhuman! These white men must come from hell. It has become unbearable. If I do not leave this place soon then I shall truly lose what little sanity I have been able to rescue from the abominable power of the waves. I have yet to be taken out and burned by the hand of the white demon, it is happening more frequently now, as if they do this to us in order to pass the time. Monsters. Recently I have found a form of salvation. It was so obvious I cannot believe it took me up to this point to realise it. We could call upon the Gods through tribe song. Prayers must not have been heard but when we sing I can feel the power of the Gods flow throug h me once more. Day 34 I do not believe we will ever leave this place. The white demons must be waiting until we are all dead. Just under a quarter of us have surrendered to eternal sleep ceasing their cries and escaping this nightmare. It must only be a matter of time before I too contribute the putrid atmosphere. It has improved a little though, I truly believe there is an angel amongst the demons, although he too speaks in tongues he seems to have the capacity for mercy, he washed us out and removed the liquid remains of those who had passed on, he even gave me some more food. Perhaps these men are not demonic but simply misguided? Fear has left me now, as if it was flowing through my veins for so long that I no longer had the power to hold it so that it seeped out the pores. Also we have created a worship dance that is possible considering our current restricted movement, the limbo. We sing and clap and try to lower ourselves below the bar that binds us, it is almost symbolic. The white men do not like it when we do this they seem to wish to stop any sort of bonding between us. Perhaps this is to prevent us from overpowering them, however if we are so bound I cannot think of how we could do so unless of course we are one day to be relased! Day 42 I was taken above today. It was the first time I had seen the sky in far too long, my limbs were sore and weakened from the restriction of movement and lack of exercise. I did not realise what they wanted me to do but I think that they were just doing it for their own enjoyment. How one could be so inhuman I do not know, they brought the fury of their tarred leather whip upon me. Slashing at my flesh, removing the skin from my back until I convulsed with pain. They laughed. I did not mind so much that they turn their fury upon me but I cannot accept that they do this to women and children. I was thrown back down into the darkness, bound again onto the pole sitting in a pool of my own blood. Day 43 I feel myself slipping away now, my surroundings fading into insignificance, I accept death. I welcome it. Invite it. Darkness is consuming me, this will me my last entry, thank you for allowing me to collate my thoughts. adieu. How to cite A slave’s diary, Papers