University:
McNeese State University
Course:
MATH 231 | Elementary Probability and Statistical Inference
Academic year:

2024
Views:

285

Pages:

1
Author:

Tori K.

Math 231 • 1-2: Data Classification Baldwin Data at the interval level of measurement can be ordered, and meaningful differences between data entries can be calculated. At the interval level, a zero entry simply represents a position on a scale; the entry is not an inherent zero. • Data at the ratio level of measurement are similar to data at the interval level, with the added property that a zero entry is an inherent zero. A ratio off two data entries can be formed so that one data entry can be meaningfully expressed as a multiple of another. o An inherent zero is a zero that implies “none.” For example, the amount of money you have in a savings account could be zero dollars. The zero represents no money; it is an inherent zero. A temperature of 0°𝐶𝐶 does not represent a condition in which no heat is present. The 0°𝐶𝐶 temperature is simply a position on the Celsius scale; it is not an inherent zero. Ex 3: Two data sets are shown. Which data set consists of data at the interval level? Which data set consists of data at the ratio level? a) Both data sets it , find differences between world first and last to sense make quantitative are Yankees . victories the Series 2009-1923286 But does it years make not is are at say of multiple a one year that these another So interval level sense to the . using the that b) ex interval : hit more Cleveland Baltimore homeruns So 23 these hit as are totals , you can . ratios and find differences ex : Boston run home b/c homeruns 208-185 = 23 . many Chicago b/c-5 18 1 5 . times as - at the ratio level 2 .