Ordinal Level

H1 assumes the time index and all ordinaries index have linear relationship. The null and alternative hypotheses are following: H0: β1 = 0 H1: β1 ≠ 0 .

Measurement that shows the order or rank of items. An example of ordinal could be ranking places in a contest, or test scores.

b. Ordinal: This is a measurement that represent the order of a particular stat. A good example of this would the placement in a contest, 1st, 2nd, and 3rd.

Answer: This is a ordinal variable since education level is ordered from less to higher education and is put into 4 categories.

A nominal variable is qualitative, or word orientated, distinct, mutually exclusive, completely exhaustive, and cannot be ordered (Walker, 2009).  Meaning, the variable is a descriptive word, i.e. color, can be distinguished from each other, its value coincides with only the category in which it was designed, has a designated category for each characteristic, and has no specific order (Walker, 2009).  A qualitative variable is strictly descriptive.  Whereas, a quantitative variable is numeric.  Therefore, the color of law enforcement officers’ uniforms is considered a nominal variable.

The Kendall's coefficient of concordance is an index of interrater reliability of ordinal data, in this case indicating that the reliability is low (Kline, 2005).

Ordinal data has the variables that include rank and satisfaction. An everyday example of ordinal data can be surveys.

Determine which level of measurement— nominal, ordinal, interval, or ratio—is used in the following examples.

C. The researchers analyzed the data as though it were at the interval/ratio level since they calculated means (the measure of central tendency that is appropriate only for interval/ratio level data) and standard deviations (the measure of dispersion for interval/ratio data) to describe their study variables.

1. What demographic variables were measured at least at the interval level of measurement? Demographic variables that are measured at the interval level are age, income ($), length of labor (hrs), return to work (wks), number of hours working per week.

levels with value attached to each one. The lowest level of the hierarchy was the “Bozal.”

6. Furniture. The presence or absence of furniture is recorded for each unit, and represented with a single dummy variable (1 if the unit was furnished and 0 if

H₀: Dogs are more depressed than other animals, and cats are more anxious than other pets.

There are four distinct levels: Facts or Data, Processes or Methods, Goals or Purpose, and Values or Beliefs. Level I: Facts or Data is a type of conflict that involves facts or data. This conflict is the easiest to resolve, being that the only disagreement that the two parties will have is a difference in information. To resolve this conflict, leaders should get two parties on the same page and ensure they have the same information. Level II: Processes or Methods is a type of conflict that involves group members being in disagreement over how something should be done. This conflict can be resolved by compromising of the group, consequently minimizing small conflicts. Level III: Goals or Purpose is a type of conflict that involves group members

A third variable included in the data collected from the sample was the number of people living in the home. The reason for collecting data on the number of people living in a customer’s home is that it is assumed that as more people live in a home, the amount of hot water that will be used will increase, which, in turn, will increase the amount of heating oil that is used. Finally, the fourth variable in the data collected from the customers in the sample is a home factor, which is a determination by company staff members of a composite index that takes into account home size, age of the home, exposure to wind, level of insulation, and furnace type. The home factor index ranges from 1 to 5, with 1 indicating a lower level of energy