Textbook Question
Determine whether the statement is true or false. If it is false, rewrite it as a true statement.
A double-blind experiment is used to increase the placebo effect.
1
views
1. Intro to Stats and Collecting Data
Intro to Stats
2:51 minutesProblem 1.Q.4b
Textbook Question
Determine the level of measurement of the data set. Explain your reasoning.
The horsepowers of racing car engines
Verified step by step guidance1
Identify the four levels of measurement in statistics: nominal, ordinal, interval, and ratio. Understand that these levels differ based on the properties of the data, such as order, equal intervals, and the presence of a true zero.
Examine the data set provided, which consists of the horsepowers of racing car engines. Horsepower is a numerical value that represents the power output of an engine.
Determine if the data has a true zero point. In this case, horsepower has a true zero because an engine with 0 horsepower would produce no power at all. This indicates that the data is not nominal, ordinal, or interval, but rather ratio.
Check if the data allows for meaningful comparisons using multiplication or division. For example, an engine with 400 horsepower is twice as powerful as an engine with 200 horsepower. This confirms that the data is at the ratio level of measurement.
Conclude that the level of measurement for the horsepowers of racing car engines is 'ratio' because the data is numerical, has a true zero, and allows for meaningful ratios between values.
Verified video answer for a similar problem:This video solution was recommended by our tutors as helpful for the problem above
Video duration:
2mWas this helpful?
Key Concepts
Here are the essential concepts you must grasp in order to answer the question correctly.
Levels of Measurement
Levels of measurement refer to the different ways in which data can be categorized and quantified. There are four primary levels: nominal, ordinal, interval, and ratio. Each level has distinct characteristics that determine the type of statistical analysis that can be performed. Understanding these levels is crucial for accurately interpreting data and selecting appropriate statistical methods.
Recommended video:
Guided course
10:28
Difference in Proportions: Hypothesis Tests Example 1
Ratio Level of Measurement
The ratio level of measurement is the highest level of measurement, characterized by the presence of a true zero point and the ability to perform meaningful mathematical operations. In this level, both differences and ratios between values are meaningful. For example, in the context of horsepower, a value of zero indicates the absence of power, allowing for comparisons such as '200 horsepower is twice as powerful as 100 horsepower.'
Recommended video:
Guided course
06:14Coefficient of Determination
Application to Horsepower Data
When analyzing the horsepower of racing car engines, it is essential to recognize that this data is measured on a ratio scale. Horsepower values can be compared, and calculations such as averages and ratios can be performed. This understanding allows for more sophisticated statistical analyses, such as regression or correlation, which can provide insights into performance and efficiency in racing contexts.
Recommended video:
Guided course
04:39Visualizing Qualitative vs. Quantitative Data
2:13mWatch next
Master Introduction to Statistics Channel with a bite sized video explanation from Patrick
Start learningRelated Videos
Related Practice