Multiple Choice
Based on the statistical model you developed, which of the following best describes a confidence interval for the population mean when the population standard deviation is unknown and the sample size is small?
2
views
7. Sampling Distributions & Confidence Intervals: Mean
Introduction to Confidence Intervals
Struggling with Statistics?
Join thousands of students who trust us to help them ace their exams!Watch the first videoMultiple Choice
Identifying data that are out of the ordinary is part of which step of the data cleaning process?
A
Data normalization
B
Data aggregation
C
Outlier detection
D
Data transformation
Verified step by step guidance1
Understand that the data cleaning process involves several steps to prepare data for analysis, including handling missing values, correcting errors, and identifying unusual data points.
Recognize that 'outlier detection' refers to the process of identifying data points that are significantly different from the majority of the data, which may indicate errors or special cases.
Compare the given options: Data normalization (scaling data), Data aggregation (combining data), Data transformation (changing data format or structure), and Outlier detection (finding unusual data).
Identify that the step focused on finding data that are 'out of the ordinary' corresponds to 'Outlier detection' because it specifically targets unusual or extreme values.
Conclude that 'Outlier detection' is the correct step in the data cleaning process for identifying data that are out of the ordinary.
6:33mWatch next
Master Introduction to Confidence Intervals with a bite sized video explanation from Patrick
Start learningRelated Videos
Related Practice
Introduction to Confidence Intervals practice set
Problem sets built by lead tutorsExpert video explanations