Straighterline Introduction to Statistics Exam Study Questions and Answers 100% Pass

Straighterline Introduction to Statistics Exam Study Questions and Answers 100% Pass Four steps in the process of statistics - ANSWER-1. Producing Data 2. Exploratory Data Analysis 3. Probability 4. Inference Categorical variable - ANSWER-places individuals into one of several groups Two types: nominal and ordinal Quantitative Variable - ANSWER-represents a measurement or a count Two types: Interval and ratio Nominal Variable - ANSWER-categorical variables where there is no natural order among the categories Copyright ©EMILLECT 2024. ALL RIGHTS RESERVED. Page 2/11 Ordinal variable - ANSWER-categorical variables where there is natural order among the categories Interval Variable - ANSWER-a measurement or count for which it makes sense to talk about the difference between values, but it does not make sense to talk about the ratio between values; 0 does not represent the absence of quanitity Ratio Variable - ANSWER-quantitative variables for which it makes sense to talk about the difference between values AND the ratio between values; 0 represents the absence of quantity What type of variable?: eye color - ANSWER-nominal What type of variable?: socioeconomic status with categories low, med, high - ANSWER- Ordinal What type of variable?: Temperature - ANSWER-Interval Copyright ©EMILLECT 2024. ALL RIGHTS RESERVED. Page 3/11 What type of variable?: Income - ANSWER-Ratio Visual display and numerical summary for a single categorical variable - ANSWER-pie chart or bar chart and category percentages Visual display and numerical summary for a single quantitative variable - ANSWER-histogram or stemplot and descriptive statistics Visual display and numerical summary for C-C - ANSWER-Two way table and conditional percentages Visual display and numerical summary for C-Q - ANSWER-Side by side box plots and descriptive statistics Visual display and numerical summary for Q-Q - ANSWER- Scatterplot and correlation coefficient (r) Standard Deviation Rule - ANSWER-Approximately 68% of observations fall within 1 sd of the mean, Copyright ©EMILLECT 2024. ALL RIGHTS RESERVED. Page 4/11 95% within 2 sd, 99.7% (or virtually all) within 3 sds Interquartile Range (IQR) - ANSWER-Middle 50% of the data IQR= Q3-Q1 Finding an outlier using IQR - ANSWER-An observation is considered a suspected outlier if it is: less than Q1 - 1.5(IQR), or more than Q3 + 1.5(IQR). Interpreting scatterplots: 1. positive relationship displays as 2. negative relationship displays as - ANSWER-1. upward slope 2. downward slope Interpreting Scatterplots: How to tell if a linear relationship is strong or weak - ANSWER-closer to -1 is a strong negative linear relationship Copyright ©EMILLECT 2024. ALL RIGHTS RESERVED. Page 5/11 closer to +1 is a strong positive linear relationship close to 0 is a weak linear relationship Interpreting Scatterplots: Linear regression - ANSWER-Finding the line that best fits the pattern of the linear relationship (the line that describes how the response variable linearly depends on the explanatory variable