he first five rows of the BIRTHS data set are shown here. For GENDER 1 = male and 0 = female, WEIGHT is birth weight in grams, and CHARGES is in dollars. FAC is facility, ADMIT and DISCHARGE are named days of the week. FAC INSURANCE GENDER ADMIT DISCHARGE WEIGHT CHARGES Albany Medicaid 0 FRI SUN 3500 13986 Albany Blue Cross 1 FRI SUN 3900 3633 Bellvue Blue Cross 0 WED THU 900 359091 Albany Self Pay 1 MON SAT 2800 8537 Olean Medicaid 1 FRI SUN 3700 3633 Describe the appropriate level of measure for each of the variables of the data. (Nominal, Ordinal, or Numerical - discrete, or Numerical - continuous).
The first five rows of the BIRTHS data set are shown here. For GENDER 1 =
male and 0 = female, WEIGHT is birth weight in grams, and CHARGES is in dollars. FAC
is facility, ADMIT and DISCHARGE are named days of the week.
| FAC | INSURANCE | GENDER | ADMIT | DISCHARGE | WEIGHT | CHARGES |
| Albany | Medicaid | 0 | FRI | SUN | 3500 | 13986 |
| Albany | Blue Cross | 1 | FRI | SUN | 3900 | 3633 |
| Bellvue | Blue Cross | 0 | WED | THU | 900 | 359091 |
| Albany | Self Pay | 1 | MON | SAT | 2800 | 8537 |
| Olean | Medicaid | 1 | FRI | SUN | 3700 | 3633 |
Describe the appropriate level of measure for each of the variables of the data. (Nominal,
Ordinal, or Numerical - discrete, or Numerical - continuous).
Nominal:
The variable contains names, labels or categorize particular attributes are being consider as nominal variables.
Ordinal:
The variable contains ranks or order is being considered as ordinal variables.
Numerical-discrete:
It either consists of a finite number of possible values or countable number of possible values. A discrete variable cannot take every possible value between the two possible values.
Numerical-continuous:
It consists of an infinite number of possible values that are not countable. A continuous variable can take every possible value between any two possible values.
The variable “FAC”:
It contains the Names of the facility, and then the appropriate level of measure is nominal.
The variable “INSURANCE”:
It contains the types of insurances and then the appropriate level of measure is nominal.
The variable “GENDER”:
In gender variable, it is labelled male as 1 and female as 0 and the appropriate level of measure is nominal.
The variable “ADMIT”:
It contains name of the day and the appropriate level of measure is nominal.
The variable “DISCHARGE”:
It contains name of the day and the appropriate level of measure is nominal.
The variable “WEIGHT”:
It contains weight of the person in grams, it is a finite possible number and the appropriate level of measure is numerical-discrete.
The variable “CHARGES”:
It contains charges in dollars, it is a finite possible number and the appropriate level of measure is numerical-discrete.
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