XLDA EXAM PREP - PDF

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2020...

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XLDA EXAM – Labs 9, 10 and lecture 9.2 – 10% Calculating Sample size 1. Add-ins  calculate  sample size 2. If asked maximum variability its 50 3. Look at the 95% confidence column for the answer  in bold 4. Allow about error 3 for worst Multiple Response: Summary Table 1. Only focus on the checked responses or Yes or in red 2. Manually transfer the numbers into the MR table 3. Frequency  Number of people checked  Auto sum 4. Drop the total into total sample size 5. PCT of answers divide respondents by answers Non-metric/Metric: Percent – Segments 1. Add-ins  Summarize  Precents  Can do for a metric and non-metric question 2. Non-Metric: Question about how many people would be concerned 3. Metric How many people Single Metric: Average – Relative Ratings 1. Add-ins  Summarize  Averages 2. Look at the average with the highest number 3. For standard deviation: Larger the number the more variable the response it Grid, Identify Segments: Precents 1. Add-ins  Summarize  Precents  Select all that apply 2. Run a profile on segments Grid: Relative Rating: Averages 1. Add-ins  Summarize  Averages  Select all that apply 2. Run a profile on segments Profile Segments: Crosstabs 1. Add-ins  Relate Crosstabs Select Column and Row Variable 2. Run a profile on segments 3. Column  Goes in the type of people that people are interested in  Column are always demographic questions (Age, Gender, etc. are demographic traits) Type of person always goes in column 4. Sig is less than or equal to 0.5 means there is a significant difference between males and females on how they respodanted to this question 5. Always looking for percentages  Look for the largest difference in male to female

Identify problems with charts – Lecture 9.2 Common Problem’s with charts: Bar Chart -

Decimal places Legend Percent Scale Title – Not descriptive Axis Labels Sample Size -- Bottom left-hand corner

Average 1. 2. 3. 4. 5.

Needs to start at 1 Rating scale (what is 1, 2 ect) Sample size Title – Not descriptive Data Labels on each bar

Bar Chart – Comparing Charts 1. The scale is not the same (y axis has to end at the same point) – Unethical visual – 2. CONSTISTANCY 3. Can’t have different scales – 5 point scales...