Student GM533 Applied Managerial Statistics Keller Grad School Professor Peixin Zhang Term Project For this project various statistical tools will be used to analyze our case 27 data sheet. Price is the dependent variable and there are a number of independent variables including square feet, beds, baths, heat, garage, basement etc. that is used to explore and model the relationship between these variables. Central Tendency and Dispersion Here statistical tools are used to measure the central tendency and dispersion to make the data in the survey more meaningful and easier to understand. The Median Home Price: Here the aim is to determine the median price of the houses based on Price.
D. Comparison of means using a paired t-test 7) When is it appropriate to use the paired difference t-test? D. Two dependent samples are compared. 8) A survey of hotels found that the average hotel room rate in New Orleans is $88.42 and the average room rate in Phoenix is $80.61. The survey sampled 50 hotels in each city. The standard deviations were $5.62 and $4.83, respectively.
Is there a relationship between total expenses and number of admissions? MSM= 29881.226 F Value = 11.691383 Using F table for (DFM, DFE) = (1,12) F value = 4.75 Significance of F =.049943034 Yes, the model is statistically significant at 5% level & Yes there is a relationship between total expenses and number of admissions. 2. The Housing Data tab of the Chapter 4 Assignment Data spreadsheet contains information on the sales prices of houses, their square footage, and their age. Perform a regression on this data with sales price as the Y variable, and answer the following questions.
Overview I This paper will evaluate a sample of 50 AJ DAVIS department store chain credit customers using statistical analysis. Four quantitative methods: household size, income, years and credit balance along with one qualitative method: location will be used. Individual Variables II Location is a categorical variable and it consists of three (3) subcategories: Rural, Suburban and Urban. The below frequency distribution and bar graft indicates that the highest member of AJ DAVIS department store chain consumes resides in urban areas accounting for 44% of the sample, the second highest member of AJ DAVIS department store chain consumes resides in Suburban areas and accounts for 30% of the sample while the smallest number
CMIS102 Homework Assignment 1 (Worth 13%) Design a program to perform the following task: Calculate the usable area in square feet of house. Assume that the house has a maximum of four rooms, and that each room is rectangular. I. Problem Analysis A.) To find the usable area in square feet of a house, what are the necessary Input needed to solve the problem?
If the value of x is postnatal age of 30 hours, what is the value for Yˆ or SBP for neonates 1,001–1,500 grams? Show your calculations. 7. Compare the SBP readings you found in Questions 5 and 6. Explain the difference in these two readings.
James Earl Harris CMIS 102 Dr.Ola Due Date: 3/10/2013 Analysis: “Write a program that will calculate the number of square feet (living space) in a 4-room house” *What is the total living space of a 4-room house, TotalSpace (Float variable) *Data that needs to be given, Declare Room1 Room2 Room3 Room4 (Float variable) Room1= l * w Room2= l * w Room3=l * w Room4=l * w *Required output, TotalSpace = Room1+Room2+Room3+Room4 *To get calculate the square feet of the living space(TotalSpace) you would to add the square feet of each room(Room1 Room2 Room3 Room4).
Problem definition: Calculate the usable area in square feet of house. Assume that the house has a maximum of four rooms, and that each room is rectangular. A. Problem Analysis – Following the directions in the assignment, clearly write up your problem analysis in this section. • In writing this program I am trying to calculate the number of square feet in a 4-room house.
This document consists of a summary of an exploratory data analysis for AJ Davis Department Stores. AJ Davis seeks to know more about their customers which pay via credit. We will assess the location, income, household size, years lived at household and credit balance. The following data shall serve as a sample of AJ Davis’ customer base: Income ($1000) 54 30 32 50 31 55 37 40 66 51 25 48 27 33 65 63 42 21 44 37 62 21 55 42 41 54 30 48 34 67 50 67 55 52 62 64 22 29 39 Credit Balance($) 4016 3159 5100 4742 1864 4070 2731 3348 4764 4110 4208 4219 2477 2514 4214 4965 4412 2448 2995 4171 5678 3623 5301 3020 4828 5573 2583 3866 3586 5037 3605 5345 5370 3890 4705 4157 3579 3890 2972 Location Urban Rural Suburban Suburban Rural Urban Rural Urban Suburban Urban Urban
The data that was found as a result of the research done in week three by Team B can now be analyzed to draw conclusions of the research. The process will help provide a better understanding of the data that was found and will aid in the determination of what can be expected of the housing market in the near future. Central tendency, dispersion, and skew for data The research data collected by Team B is depicted below in tabular form representing the central tendency, dispersion and skew of the data. TABLE 1.1 Selling Prices of Houses (in thousands) (n=23) | | | |1.3 | | |1.4 | | |1.5