Quick Answer: is blood sugar nominal or ordinal?

What type of variable is blood sugar?

A numerical or continuous variable (attribute) is one that may take on any value within a finite or infinite interval (e.g., height, weight, temperature, blood glucose, …).

Is diabetes nominal ordinal interval or ratio?

Diabetes is a nominal variable with only two possible values. Thus, we want to know the number (frequency) of patients with diabetes and what proportion of the total sample they represent.

Is type of blood nominal or ordinal?

You can code nominal variables with numbers if you want, but the order is arbitrary and any calculations, such as computing a mean, median, or standard deviation, would be meaningless. Examples of nominal variables include: genotype, blood type, zip code, gender, race, eye color, political party.

What level of measurement is blood sugar?

A blood glucose test is a blood test that screens for diabetes by measuring the level of glucose (sugar) in a person’s blood. Normal blood glucose level (while fasting) range within 70 to 99 mg/dL (3.9 to 5.5 mmol/L). Higher ranges could indicate pre-diabetes or diabetes.

What is nominal and ordinal?

Nominal data is classified without a natural order or rank, whereas ordinal data has a predetermined or natural order. On the other hand, numerical or quantitative data will always be a number that can be measured.

Is blood sugar a dependent variable?

Blood glucose, a dependent variable, was measured by the proportion of glycated hemoglobin.

Is blood sugar level discrete or continuous?

For example, the concentration of glucose in the blood is a continuous quantity. Even if the instrument you are using rounds off values to whole numbers, these quantities are still continuous, ie, not countable.

Is blood glucose level quantitative or qualitative?

EXAMPLES • Blood glucose level • Blood pressure • Diet • Electrolytes • etc.… Nominal are “naming” variables • Definition: – The simplest scale of measurement. Used for characteristics that have no numerical values, no measurement scales and no rank order. It is also called a categorical or qualitative scale.

What is nominal and ordinal variable?

A categorical variable (sometimes called a nominal variable) is one that has two or more categories, but there is no intrinsic ordering to the categories. … If the variable has a clear ordering, then that variable would be an ordinal variable, as described below.

Is blood group an example of nominal data?

Nominal data: the range of values is not ordered in any sense, but simply named (hence the nom). Again, blood groups, gender, etc. This is a form of categorical data.


What is nominal scale with example?

A nominal scale is a scale (of measurement) that uses labels to classify cases (measurements) into classes. Some examples of variables that use nominal scales would be religious affiliation, sex, the city where you live, etc. Example. One example of a nominal scale could be “sex”.

What are normal sugar levels for non diabetics?

Normal blood glucose levels for adults, without diabetes, is 90 to 110 mg/dL. Learn the symptoms of high and low blood sugar here. Blood glucose levels are the amount of glucose that someone has in their blood at any given time.

Is blood sugar of 6.4 normal?

A healthy percentage is under 5.7%. A result between 5.7 and 6.4% suggests prediabetes. Anything higher than 6.5% indicates diabetes.

Why is blood sugar measured?

Blood sugar testing provides useful information for diabetes management. It can help you: Monitor the effect of diabetes medications on blood sugar levels. Identify blood sugar levels that are high or low.

What are the example of ordinal?

The numbers 1st(First), 2nd(Second), 3rd(Third), 4th(Fourth), 5th(Fifth), 6th(Sixth), 7th(Seventh), 8th(Eighth), 9th(Ninth) and 10th(Tenth) tell the position of different floors in the building. Hence, all of them are ordinal numbers.

What is ordinal scale example?

An ordinal scale is a scale (of measurement) that uses labels to classify cases (measurements) into ordered classes. … Some examples of variables that use ordinal scales would be movie ratings, political affiliation, military rank, etc. Example. One example of an ordinal scale could be “movie ratings”.

What is ordinal level?

Ordinal scale is the 2nd level of measurement that reports the ranking and ordering of the data without actually establishing the degree of variation between them. Ordinal level of measurement is the second of the four measurement scales. “Ordinal” indicates “order”. … It can be named, grouped and also ranked.

Is Sugar an independent variable?

In this experiment, the independent variables are the organic molecules: lipids, starch, sugar, and protein. The dependent variable is the variable that changes as a result of the independent variable.

What is the dependent variable in diabetes?

The dependent variable was the overweight, defined as Z score ≥1. The independent variables were gender, age, insulin dose, duration of disease, lipid profile, glycated hemoglobin, type of prescribed food planning, and place of residence.

What’s the meaning of control variable?

A control variable is a variable or an element which is held constant throughout an experiment or a research in order to assess the relationship between multiple variables. … A control variable is the factor that ensures that the test results can be compared fairly and that they aren’t skewed.

What is nominal data?

Nominal data is “labeled” or “named” data which can be divided into various groups that do not overlap. Data is not measured or evaluated in this case, it is just assigned to multiple groups. These groups are unique and have no common elements. … In some cases, nominal data is also called “Categorical Data”.

Is length nominal or ordinal?

Basic definitions

Nominal Just names, IDs
Ordinal Have / represent rank order (e.g. fully agree, mostly agree, somewhat agree)
Interval Has a fixed size of interval between data points. (E.g. degrees Centigrade)
Ratio Has a true zero point (e.g. mass, length, degrees Kelvin)

Is True False nominal or ordinal?

The nominal scale is one of four scales of measurement. The other three are: The Ordinal Scale: Rank order (1st, 2nd 3rd), dichotomous data that has two choices like true/false or guilty/innocent and non-dichotomous data with choices like “completely agree” “somewhat agree” “neutral” and “disagree.”

What is ordinal research?

The Ordinal scale includes statistical data type where variables are in order or rank but without a degree of difference between categories. The ordinal scale contains qualitative data, ‘ordinal’ meaning ‘order’. It places variables in order/rank, only permitting to measure the value as higher or lower in scale.

Is eye color nominal or ordinal?

Certainly, eye color is a nominal variable, since it is multi-valued (blue, green, brown, grey, pink, black), and there is no clear scale on which to fit the different values.

Why is blood type nominal?

Nominal data: the range of values is not ordered in any sense, but simply named (hence the nom). Again, blood groups, gender, etc. This is a form of categorical data.

What type of data is ordinal?

Ordinal data is a statistical type of quantitative data in which variables exist in naturally occurring ordered categories. The distance between two categories is not established using ordinal data.

Is blood pressure ordinal data?

Study variables may include age, sex, height, weight, blood pressure, cardiac output, survival, or any of a multitude of other characteristics. … Examples of ordinal variables include outcome (excellent, good, fair, poor, no change) or disease stages (such as tumor staging classifications).

What are ordinal measurements?

Ordinal measures are used to produce ordered rankings among values. For example, measurements or responses to the question, In general, would you say your health is: excellent, very good, good, fair, or poor? can be sorted and ordered from healthiest (“excellent”) to least healthy (“poor”).

Is age ordinal or nominal?

Age can be both nominal and ordinal data depending on the question types. I.e “How old are you” is used to collect nominal data while “Are you the firstborn or What position are you in your family” is used to collect ordinal data. Age becomes ordinal data when there’s some sort of order to it.

What is nominal scaling?

A nominal scale is a scale of measurement used to assign events or objects into discrete categories. This form of scale does not require the use of numeric values or categories ranked by class, but simply unique identifiers to label each distinct category.

Is 7.0 blood sugar normal?

In general: A fasting blood sugar level below 100 milligrams per deciliter (mg/dL) — 5.6 millimoles per liter (mmol/L) — is considered normal. A fasting blood sugar level from 100 to 125 mg/dL (5.6 to 7.0 mmol/L ) is considered prediabetes. This result is sometimes called impaired fasting glucose.

Is fasting blood sugar 119 high?

Low blood sugar or hypoglycemia is when blood levels drop below 70 mg/dL in diabetics or around 55 mg/dL (3 mmol/L) in healthy people. High blood sugar or hyperglycemia is when your blood glucose levels are too high, above 126 mg/dL or 7 mmol/L. The normal fasting blood sugar range in healthy people is 70 – 125 mg/dL.

Is blood sugar of 135 high?

Less than 100 mg/dL = normal. Between 110–125 mg/dL = impaired fasting glucose (i.e., prediabetes) Greater than 126 mg/dL on two or more samples = diabetes.

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