Published on July 16, 2020 by Pritha Bhandari. HIIT Ratios: As written above, each high intensity interval consists of a work phase and recovery phase. For example, the interval between the F and G can be shown to be 9:8 by dividing the two ratios (27X4/32/3 = 108/96) and dividing both by 12, which gives 9/8. A ratio variable, has all the properties of an interval variable, and also has a clear definition of 0.0. It is common for these measurements to carry units. Why such a range? Boot camp station intervals - week one: Number of bouts (stations) - 16 (2 rounds of 8 stations) Work-to-rest ratio - 1 to 1.5; Station work time - :30; Rest period between stations - :45 . For example, when you perform 60 seconds of work followed by 60 seconds of recovery, your HIIT ratio is 1-to-1. Since the interval scale has no true zero point, you cannot calculate Ratios. The variables measured on an interval scale are known as âinterval variablesâ or âscaled variablesâ. Now, to be progressive and push abilities forward, the interval prescription would â¦ Weâll only go to the 10 th harmonic since at this point we are just getting too smaller and smaller â2ndsâ. For example, a ratio of 1:1 might be a 3-minute hard work (or high intensity) bout followed by a 3-minute recovery (or low intensity) bout. Revised on October 12, 2020. The zero point in the interval scale is arbitrary, and also negative values are also defined. These 1:1 interval â¦ Levels of measurement: Nominal, ordinal, interval, ratio. The 9:8 ratios are obtained by dividing the various ratios and then reducing down the fraction. If you are a really fast 800-meter runner (around two minutes), you may even use a 3:1 work to rest ratio and rest six minutes. Examples of interval variables include: temperature (Farenheit), temperature (Celcius), pH, SAT score (200-800), credit score (300-850). What are the nominal, ordinal, interval, ratio scales really? Well, if you really want to develop a sense of a fast 800-meter pace and want to get to your best times for each exercise intervalâ¦ Levels of measurement, also called scales of measurement, tell you how precisely variables are recorded. Nominal, ordinal, interval, and ratio scales can be defined as the 4 measurement scales used to capture and analyze data from surveys, questionnaires, and similar research instruments.All of the scales use multiple-choice questions. An interval scale is one where there is order and the difference between two values is meaningful. For example, there is no any sense the ratio of 90 to 30 degrees F to be the same as the ratio of 60 to 20 degrees. Understanding these differences is the key to getting the most appropriate research data. The next chart takes the table we just looks at and shows the ratios of the two subsequent harmonics in column three and the interval they create in column 4. (a 1:2 ratio). In scientific research, a variable is anything that can take on different values across your data set (e.g., height or test scores). Many studies use a specific ratio of exercise to recovery to improve the different energy systems of the body. The primary difference between interval and ratio scales is that, while interval scales are void of absolute or true zero, ratio scales have an absolute zero point. For example, there is no any sense the ratio of 90 to 30 degrees F to be the same as the ratio of 60 to 20 degrees. Ratio. interval is important. Another key difference in interval scale vs ratio scale is the levels of measurement that have been explained in this blog. The HIIT ratio is the amount of time spent working vs the amount of time spent recovering, also known as the work-to-recovery ratio. As pointed out earlier the ratios between measurements on interval scales are not meaningful. 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