BUS310_L7_2.1.11 - Descriptive Measures 1. Review Problem...

Info iconThis preview shows pages 1–7. Sign up to view the full content.

View Full Document Right Arrow Icon
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Lecture 7: Descriptive Measures 1. Review Problem Set 1 2. Problem Set 2
Background image of page 2
PS1 Corrections In preparation for the midterm, provide ‘complete’ interpretation answers, include data to strengthen your argument Q3: Most important drive types: front (x), followed by rear (y) Q9: Drive types by SUV/non-SUV: First, state most important drive type for the two categories (include data). One additional sentence on other differences (data). Read all feedback, but only change your answers when I deducted points Format of the final version: Submit the original word document Highlight changes in the interpretation answers Write a note about changes in charts, highlight the note For the next Problem Sets, you will only be able to improve your score (most problems: q2 population, q7, q8)
Background image of page 3

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Question 7 (1 point): Create and describe the frequency histogram of Length (the chart) Estimate the smallest length, largest length, range. What shape (symmetric or skewed; flat or peaked) is the graph? Are there any gaps in lengths? ‘AUTOS_Fall2010 PS1.xls’ Smallest length estimated in: 145 < x ≤ 155 Largest length estimated in: 225 < x ≤ 235 Estimated range = est. largest minus est. smallest Include Axis titles
Background image of page 4
Question 8 (1.5 points) Create a cumulative percent polygon for Length . Estimate the 25th, 50th, and 75th percentile from the cumulative percent chart and estimate what percent of the lengths are less than or equal to 180. ‘AUTOS_Fall2010 PS1.xls’ 25th Percentile: ~ 177 50th Percentile: ~ 188 75th Percentile: ~ 194 Cumulative % ≤ 180: ~ 30%
Background image of page 5

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
Lecture 6 Review: Shape A distribution is perfectly normal, if both Skewness and Kurtosis measures equal zero A distribution is approximately normal if: -1 < Skewness < 1 AND -1 < Kurtosis < 1 If the distribution is approximately normal: use Mean and Standard Deviation From Summary Statistics (‘Data’, ‘Data Analysis’, ‘Descriptive Statistics’) Empirical rule (normal shape: 68% of data within one SD, 95% of data within 2SD, almost
Background image of page 6
Image of page 7
This is the end of the preview. Sign up to access the rest of the document.

This note was uploaded on 04/07/2011 for the course BUS 311 taught by Professor Reardon,j during the Spring '08 term at University of Hawaii, Manoa.

Page1 / 32

BUS310_L7_2.1.11 - Descriptive Measures 1. Review Problem...

This preview shows document pages 1 - 7. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online