DeVry University Miami Campus Math 533, Managerial Statistics Student: Elias Hane Professor: Norman Ebsary Course Project: AJ DAVIS DEPARTMENT STORES Date: 24th of January, 2013 Introduction AJ 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 variables: 1. LOCATION (Rural, Urban, Suburban) 2. INCOME (in $1,000’s)
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AS PER APPENDIX ‘B’ TO DPM 2009 STATEMENT OF CASE FOR DEVELOPMENT OF MECHATRONIC CONTROL SYSTEM AT AFTC, JALAHALLI (W), BANGALORE |1. Unit |Air Force Technical College, Jalahalli West | |2. Name of the item being produced |Development of mechatronic control based security gate at AFTC | |3. Justification of the procurement |The Aim of the
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Total Variable Count Mean StDev Variance Minimum Q1 Median Q3 SALES 100 42.340 4.171 17.398 32.000 39.250 42.000 45.000 N for Variable Maximum Range IQR Mode Mode SALES 52.000 20.000 5.750 44 12 Data for sales made in a week for SALESCALL Inc. shows that an average of 42 sales are made. The company can expect to have as few as 32 and up to 52 sales in a week. From the data
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number in a group. Consider the seven numbers 100, 100, 90, 80, 70, 60 and 50; the middle number is 80. This point divides the numbers in half. Central Tendency, the Mode The mode is the most frequent number in a group of data. Of the seven numbers 100, 100, 90, 80, 70, 60 and 50, the most frequent number, and thus the mode, is 100. Dispersion, the Range The range illustrates the difference between the highest and lowest number, plus one. Look at the seven numbers 100, 100, 90, 80, 70
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average? 11. What is lorenz curve? 12. What is type 1 error? 13. What is statistics? 14. What is cross table? 15. What is broken bar? 16. What is kurtosis? 17. What is stem and leaf diagram? 18. What is tabulation? 19. When mode is ill defined? 20. What is raw moment? 21. State the formula of SD. 22. What is event? 23. State the struges rule? 24. What is rank correlation? 25. What is systemmatic sampling? 26. What is parameter? 27. What is skewness
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I. NORMALITY IN THE TESTPAPER II. EQUAL VARIANCES | Ho: | The two data have equal variances. | | | | | | | | | Ha: | The two data did not have equal variances. | | | | | | | | | | | | | | | | | | | | | Since the p value (0.006035) is lesser than alpha (0.05), then Ho is rejected. | | | | | | | | | | | | | | | | | | | Therefore, the two data did not have two equal variances. Meaning the two data comes from the different population. |
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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
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Assessment 1 – Question and Answer 1. How would you use the following statistical analysis techniques to analyses market trends? a Conversion rate of leads to sales The conversion rate of leads to sales is very common way of measuring marketing performance. The mail advantage of this measuring is to track customer numbers and receipts, to gather data automatically. Sales conversion is also a good place to begin discussion of statistical analysis and its application. This measure is perhaps the
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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 –
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MxN strategy Here, we specifically use a strategy that selects stocks on the basis of returns over the past M months (i.e. formation period) and holds them for N months (holding period). This is called as the M x N strategy. At the beginning of each month t, the candidate stocks are ranked in descending order on the basis of their returns in the past M months. The top decile portfolio is called the “winners” portfolio and the bottom decile is called the “losers” portfolio. This strategy involves
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