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Any numerical or nominal characteristic of a population?
Non-numerical nominal characteristics can be the brands of cars we drive, the names of cities were we live, our race, religion, etc. Numerical nominal characteristics can be area codes, zip codes, numbers on the back of jerseys of basketball players. Numerical, non-nominal data is someone's weight or height.
What are the example of continuous variable?
Height, weight, wavelength of light.
A data table shows the height of a person on his birthday each year for ten years . What is the dependant variable?
In this data table, the dependent variable is the height of the person, as it is the outcome being measured and changes over time. The independent variable is the age of the person, which is the factor that influences the height. Each birthday corresponds to a specific age, and the height recorded reflects the growth that may occur during that year.
Is height a continuous variable?
Yes. (Although it is normally recorded in a discrete form.)
What does The height of a bar in a histogram indicates the blank for the interval?
The height of a bar in a histogram indicates the frequency or count of data points that fall within a specific interval or bin. Essentially, it represents how many observations exist in that range, allowing for a visual comparison of different intervals within the dataset. Higher bars signify more data points, while lower bars indicate fewer observations for that particular interval.
What is Height as classified as tall taller tallest nominal ordinal interval or ratio?
It is ordinal.
What are the examples of scale of measurement?
The scale of measurement typically includes four levels: nominal, ordinal, interval, and ratio. Nominal scales categorize data without a specific order (e.g., gender or hair color). Ordinal scales rank data in a meaningful order but without consistent differences between ranks (e.g., satisfaction ratings). Interval scales have ordered categories with equal intervals between values but no true zero point (e.g., temperature in Celsius), while ratio scales possess all the properties of interval scales, along with a true zero point (e.g., weight or height).
What is definition of metric data?
Metric data is any reading which is at least at an interval scale, as opposed to non metric data, which can be nominal or ordinal. Weight, height, distance, revenue, cost etc. are interval scales or above. Hence they are metric data. On the other hand, satisfaction ratings, Yes/No responses, Male/Female readings etc., are non metric data.
Justify the comparison of the FOUR (4) types of measurement scales. Give ONE (1) example for each of types?
Nominal-Genda, religion, post, code, ethnic Ordinal-Satisfaction, exam, grade, position in class Interval-IQ, temperature, score, CGPA Ratio-Height, weight, time, age, grant
What is the difference between a real variable and a nominal variable?
A real variable is a quantitative measure that can take on a wide range of numerical values, allowing for meaningful mathematical operations such as addition and subtraction; examples include height, weight, and temperature. In contrast, a nominal variable is a categorical measure that represents distinct categories without any inherent order or ranking; examples include gender, nationality, and colors. Essentially, real variables express quantities, while nominal variables classify data into groups.
Is the set of all possible outcomes always finite?
No. If the variable is continuous, for example, height or mass of something, or time interval, then the set of possible outcomes is infinite.
What is a ratio-level of measurement?
A ratio level of measurement is the highest level of measurement that includes all the properties of nominal, ordinal, and interval levels, with the addition of a true zero point. This means that in ratio measurement, both differences and ratios of measurements are meaningful. Examples include height, weight, and temperature in Kelvin, where a value of zero indicates the absence of the quantity being measured. This level allows for a wide range of statistical analyses due to its comprehensive nature.
Is the height of a ball's bounce affected by the height from which the ball is dropped independent variable?
Yes, the height from which the ball is dropped is the independent variable in this scenario. It is the variable that is intentionally changed or manipulated to observe its effect on the height of the ball's bounce, which is the dependent variable.
What was the average interval between planes landing at the height of the Berlin Airlift?
The average interval was one plane every 45 seconds at the height of the blockade.
What are the levels of measurement in nursing research?
There are four levels of measurements: 1) Nominal- these are categorized data that are not ordered such as gender, ethnicity, religion, etc. 2) Ordinal-these are categorized data that are ordered such as pain scale, small medium large amounts, first second third place, etc 3) Interval- this is the continuous quantified data with no true zero such as height, or temperature, etc 4) Ratio-this is the continuous data with a true zero such as the body weight, heart rate, etc.
Is height a dependent variable?
Height can be a dependent variable. This is because the adult height of an individual can be markedly affected by environmental and physical variables.
Is the height of a ball's bounce affected by the height from which the ball is dropped dependent and independent variable?
The height from which the ball is dropped is the independent variable, as it is what is being manipulated. The height of the ball's bounce is the dependent variable, as it is what is being measured and is affected by the height from which the ball is dropped.
