BSAD 3500 with correct answers 100%

BSAD 3500 with correct answers 100% Differentiate univariate and multivariate analysis. - Correct Answer Univariate: Analysis involving Individual variables. Multivariate: Analysis involving multiple variables. What do the terms continuous and categorical measures refer to? How do they relate to NOIR. (nominal, ordinal, interval, and ratio measures)? - Correct Answer CONTINUOUS is Interval & Ratio Measures. CATEGORICAL is Nominal & Ordinal measures. What are descriptive statistics? In contrast, what are test statistics? - Correct Answer Statistics that describe the distribution of response on a variable. **Most common: Mean & Standard deviation. What is frequency analysis? - Correct Answer A count of the number of cases that fall into each of the response categories. Frequency of Responses *tells which is missing data What is an outlier? What is an easy to generate visual for detecting outliers? - Correct Answer Outlier number that doesn't fall within the normal numbers or responses. Visual: Box-and-whiskers plot or Histogram. * box plot. **don't throw out unless you have a good reason. Need to make sure you report it if you throw it out. What descriptive statistics are appropriate for categorical measures? Continuous measures? - Correct Answer Categorical Measure: Nominal/Ordinal MEAN, MEDIAN, MODE, 25TH etc. Continuous Measure: Interval/Ratio What is a median split? How does one perform a media split? - Correct Answer Take all the values up and including median and make one category and another category above median. transform into a new variable and assign the value to it and reduce it to two categories. **simplifies data to visualize. What is the two-box technique? - Correct Answer Interval level data - skewed toward high end. summarize the top two categories or low two categories When should a chi-square goodness-of-fit test be used? How is it different from the Pearson chi-square test of independence? - Correct Answer Used: when we are trying to analyze observed frequency vs. expected frequency if we are not specifying expected frequency we assume equal distribution. Analyzing 1 variable vs. expected value that is CATEGORICAL (nominal/ordinal). One sample T-test: Continuous data (interval & ration). Be able to interpret p-value relative to alpha (significance level). - Correct Answer x How could one check for response set bias across a range of questions (not in the