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## M346 Day 2 Descriptive Statistics

by: Elizabeth Frabotta

6

0

4

# M346 Day 2 Descriptive Statistics M346

Marketplace > Indiana University > Business Marketing > M346 > M346 Day 2 Descriptive Statistics
Elizabeth Frabotta
IU
GPA 4.0

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Notes from Day 2 of M346 Analysis of Marketing Data; covers descriptive statistics and intro to SPSS
COURSE
M346 Analysis of Marketing Data
PROF.
Niket Jindal
TYPE
Class Notes
PAGES
4
WORDS
KARMA
25 ?

## Popular in M346 Analysis of Marketing Data

This 4 page Class Notes was uploaded by Elizabeth Frabotta on Wednesday August 24, 2016. The Class Notes belongs to M346 at Indiana University taught by Niket Jindal in Fall 2016. Since its upload, it has received 6 views. For similar materials see M346 Analysis of Marketing Data in Business Marketing at Indiana University.

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Date Created: 08/24/16
• Day 2: Descriptive Statistics Monday, August 22, 2016 6:09 PM • Nominal ○ Ex. Social security number; no order or difference between levels • Ordinal • Implies there is order to it • Don't know the difference between "silver and a bronze- "- > no measurement • Ex. Amazon ratings • Interval • Order AND • Difference between each level is the same • Can't have a well defined 0 point • Numbers are arbitrary (can take number from Fahrenheit to Celsius & no actual change) • Ex. Temperature; Kelvin scale; • Ratio • Has order, know difference between each level, and has an absolute zero • Demographics, Age, Income ▪ To find missing values Analyze- > Descriptive Statistis- > Frequencies • Check "Mean" under Statistics ▪ Group Exercise 1 • For what types of variables are frequencies not useful? ▪ Nominal –useful when frequency > 1 • Not useful when frequency < 1 • Open ended questions where frequency = 1 • For what types of variables are averages meaningless? ▪ Nominal ▪ EXCEPTION: Binary Nominal • Ex. Gender • Can take 2 answers (M,0,F,1) --> which gender responded more on average ▪ Group Exercise 2 • Differences between frequency, percent, valid percent, cumulative percent? ▪ Frequency: number of times value appears ▪ Percent: number of appearances/total amount • Day 2: Descriptive Statistics Monday, August 22, 2016 6:09 PM • Nominal ○ Ex. Social security number; no order or difference between levels • Ordinal • Implies there is order to it • Don't know the difference between "silver and a bronze- "- > no measurement • Ex. Amazon ratings • Interval • Order AND • Difference between each level is the same • Can't have a well defined 0 point • Numbers are arbitrary (can take number from Fahrenheit to Celsius & no actual change) • Ex. Temperature; Kelvin scale; • Ratio • Has order, know difference between each level, and has an absolute zero • Demographics, Age, Income ▪ To find missing values Analyze- > Descriptive Statistis- > Frequencies • Check "Mean" under Statistics ▪ Group Exercise 1 • For what types of variables are frequencies not useful? ▪ Nominal –useful when frequency > 1 • Not useful when frequency < 1 • Open ended questions where frequency = 1 • For what types of variables are averages meaningless? ▪ Nominal ▪ EXCEPTION: Binary Nominal • Ex. Gender • Can take 2 answers (M,0,F,1) --> which gender responded more on average ▪ Group Exercise 2 • Differences between frequency, percent, valid percent, cumulative percent? ▪ Frequency: number of times value appears ▪ Percent: number of appearances/total amount more on average ▪ Group Exercise 2 • Differences between frequency, percent, valid percent, cumulative percent? ▪ Frequency: number of times value appears ▪ Percent: number of appearances/total amount Valid Percent: number of appearances/(total amount –missing) ▪ ▪ Cumulative Percent: Running total of valid percents for each response • If you reverse coded variable (1 = like very much, 7 = do not like at all), order of rows would be reversed. Would associated values in any of the columns change? ▪ Only Cumulative Percent would change ▪ Valid percent of 36.2% would be first in Valid Percent, etc. ▪ Group Exercise 3 • Make sure you can create this bar chart • See what's missing (all the people who didn't respond to question are not represented) • Readiness Assessment • Q1: In the Alcohol case study, IU is requesting research that is: Descriptive ▪ • Q2: Social security numbers are measured on a __________ scale. ▪ Nominal • Q3: Amazon.com ratings are measured on a _______ scale. ▪ Ordinal • Q4: Age is measured on a _______ scale. ▪ Ratio • Q5: How many observations (sometimes referred to as "records") are in the Alcohol case data? ▪ 200 • Q6: Some of the variables are missing values for certain respondents. How many observations are missing values for the variable "vodka"? ▪ 12 • Q7: What is the average value for the variable "vodka"? Round your answer to two decimal places. ▪ 4.75 • Q8: What percentage of respondents indicated they like vodka at a 4 or less? Ignore missing values for this question. Round your answer to one decimal place and do not include the % sign (e.g., enter 10.2 if the correct value is 10.2347%). ▪ 38.8 ▪ 4.75 • Q8: What percentage of respondents indicated they like vodka at a 4 or less? Ignore missing values for this question. Round your answer to one decimal place and do not include the % sign (e.g., enter 10.2 if the correct value is 10.2347%). ▪ 38.8

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