The level of measurement for the variable home, would be the nominal level. There are five categories, house, duplex, trailer, apartment, and other. Nominal level data is put into categories with no certain order, and the most typical description of nominal level data is frequencies and percentages (Statistics Solution, 2018). Because the categories in home do not have to be in any certain order, the variable would be nominal.
The level of measurement for the variable arrest would be the ordinal level. There are six values in arrest. Ordinal level data has a meaningful order, but there is no definite difference in between the values (Statistics Solution, 2018). Because the values in arrest go from zero to twenty four and there are only six values, there are
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This is why the variable arrest would be ordinal level data.
The level of measurement for the variable tenure would be ordinal. There are over twenty values in this variable and they have a meaningful order. The values go from the lowest to the highest. The values also do not have a definite difference in between the values. Some of the differences are one, some are two, and some are even ten. This is why the variable tenure would be on the ordinal level.
The level of measurement for the variable siblings is also on the ordinal level. There are eleven values in siblings. However, the values go from zero to fifteen. Therefore, the values do not have definite differences in between them. Also, the numbers have a meaningful order. They go from the lowest number to the highest number. This is why siblings would be on the ordinal level. The different levels of variables are nominal, ordinal, and interval/ratio (Walker, 2009). Mean, median, and mode
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.
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.
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.
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.
Answer: This is a ordinal variable since education level is ordered from less to higher education and is put into 4 categories.
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
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.
There were two English groups that voyaged to the same destination, but yet they had various different rationales why they were traveling, however once reached their destination they had some of the same outcomes. This happened to the people of Jamestown and those of Plymouth Plantation. Both groups, traveled to the Americas, each with a designated leader with different characteristics, and once reached their destination they both encountered Native Americans. They both had a serious starvation period, however, the Puritans traveled for religious reasons, they wanted to be seen as the “City Upon a Hill.” The people guided by John Smith, on the other hand, wanted to gain money out of their stay in the Americas.
levels with value attached to each one. The lowest level of the hierarchy was the “Bozal.”
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
Growing up, children are heavily influenced by their home environment. Whether it's having a disconnected parental figure or the world’s strictest parents, the emotional and intellectual development of youth are directly linked to their parent’s influence. To illustrate this, the poems “My Oedipus Complex” and “Paradise Cafe” enlighten two perspectives of developing children and their struggle to be loved. First, “My Oedipus Complex” puts the reader into the mind of a five-year-old child that grew extremely attached to his mother. Conversely, “Paradise Cafe” displays the effect economic class has on a fifteen-year-old girl in pursuit of love. In an effort to be loved, children tend to fall towards jealousy while isolating themselves into their ignorance. Both situations in these poems lead their protagonists into jealousy, egocentrism, and ignorance.
Additionally, the transgender population at community colleges, which are social institutions, is an invisible minority on college campuses throughout the United States (Ivory, 2005). The systematic marginalization of transgender students begins with the application process (Seelman, 2014). The community colleges only recognize two gender identities on their applications, which reinforces the societal norm of gender identities (2014). Additionally, there is limited training on the needs of transgender students for faculty and staff (2014). Hence, there are none or few support services specifically for transgender people on many community college campuses (2014). Therefore, the community college perpetuates the marginalization of transgender
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).