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 years lived in the current home is less than 13 years d. The average (mean) credit balance for suburban customers is more than $4300 I will analyze the speculated data listed above by performing hypothesis test for
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A P P E N D I X E S Tables and Data Sets A Areas under the Normal Curve B Student’s t Distribution C Data Set 1 — Real Estate D Data Set 2 — Major League Baseball E Data Set 3 — OECD F Data Set 4 — Northwest Ohio School Districts G Critical Values of the F Distribution H Critical Values of Chi-Square I Binomial Probability Distribution J Factors for Control Charts K Poisson Distribution L Table of Random Numbers M Wilcoxon T Values N Banking Data Set — Case 262 Appendixes Appendix A Areas
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First chart up is the variable location. Three categories are listed in the charts. Frequency Distribution: Location Frequency Urban 21 Suburban 15 Rural 14 As the Pie Chart above shows the majority of the customers comes from the rual areas totaling 42% The Second will be the size chart. This will measure tendency‚ variation‚ mean‚ median and mode. Descriptive Statistics: Size Mean 3.42 Standard Error 0.24593014 Median 3 Mode 2 Standard Deviation 1.73898868 Sample Variance
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Project Part C Summary Report Management at the A. J. Davis company wishes the business to retain a competitive edge in the marketplace; ergo‚ they had statistical data collected regarding a selection of their customers who carry credit with the corporation. Based upon studies conducted on this data‚ it can be stated with a high degree of confidence that relationships do exist between certain discreet portions of the information gathered. Household Size vs. Credit Balances Predictably‚ the
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PROJECT C MATH 533 INSTRUCTOR Prof AMIR SADRAIN 1. Generate a scatterplot for CREDIT BALANCE vs SIZE Regression Analysis: Credit Balance ($) versus Size 2. Determine the equation of the "best fit" line‚ which describes the relationship between CREDIT BALANCE and SIZE. There is a slight positive relationship between credit balance and size The regression equation is Credit Balance ($) = 2591 + 403 Size 3. Determine the
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Problem N°1 1.Formulate the null and alternative hypotheses. Null Hypothesis: The average (mean) annual income was greater than or equal to $50‚000 H_0: μ≥50000 Alternate Hypothesis: The average (mean) annual income was less than $50‚000. H_a: μ 30 we will use the z-test. As Ha:μ0.40 the‚ test is a right tailed z-test. The critical value for significance level‚ α=0.05 for a right tailed z-test is given in the table as: 1.645. Decision Rule: Reject H_0‚if z>1.645 3. Calculate the test
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00 49.00 24.25 30‚ 33‚ 54‚ 57 3 0.26 -1.09 65.57 The P-value of the Income using the Anderson-Darling Normality Test is 0.027 and the A-Squared is 0.85. With the 95% Confidence Interval for Mean‚ Median‚ and St Dev are described. C. Discuss your 2nd individual variable‚ using graphical‚ numerical summary and interpretation A histogram shows the distribution of data
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MATH PROJECT SELECTION LIST 1. Investigate the five "perfect" (or Platonic) solids and explain why there are only five. References: "The Mathematics Teacher"‚ April ’77‚ p. 335; I have directions for making the solids from strips of paper; NCTM Student Math Notes‚ May 1999. 2. Research an invention based on unusual geometric properties or configurations (e.g. Rolamite Bearing‚ Wankel Engine‚ Holograms‚ etc.). References: "Popular Science"‚ Feb. ’76‚ p. 106; "Popular Science"‚ Aug
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Statement of the Task This project will be conducted in the form of an investigation that aims to examine the preference of my classmates in fast food. In order to complete this project‚ I will use data collected from surveys that will be completed by twelfth graders‚ that have between 17 and 18 years old‚ of the American School of Tegucigalpa. I will randomly choose fifty students. Once I have gathered all these information‚ I will count and tally the votes in order to construct all the charts
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Name: Math Manisa No.: 10740 Project 2 Regression Line The following table shows (for the years 1965 to 2000 and for people 18 and over) the total percentage of cigarette smokers‚ the percentage of males who are smokers‚ and the percentage of females who are smokers. Percentage of Smokers _________________________________________________________________________________________________ Year Total Population All
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