Hair color is considered a discrete variable because it falls into distinct categories such as blonde, brown, black, red, etc. Each category is separate and distinct from the others, with no intermediate shades. In contrast, a continuous variable would have an infinite number of possible values within a range, which is not the case with hair color.
The length of someone's hair is an example of continuous variation. This means that hair length can take on any value within a range, allowing for an infinite number of possibilities, such as varying lengths from very short to very long. Continuous variation is characterized by traits that can be measured and exist on a spectrum, rather than distinct categories.
The colour of your hair, the district that you live in, your gender.
There would be no definite correlation. It would just be a random correlation that would be all over the graph because there is no trend in hair color and weight. Your weight doesn't determine your hair color.
Blondes have the most with about 120,000 strands. Redheads have the least with 80,000. People with black or brown hair are somewhere in between the two. It's to do with the gene pool and nothing more! Has nothing to do with hair color.
In statistics. a confounding variable is one that is not under examination but which is correlated with the independent and dependent variable. Any association (correlation) between these two variables is hidden (confounded) by their correlation with the extraneous variable. A simple example: The proportion of black-and-white TV sets in the UK and the greyness of my hair are negatively correlated. But that is not because the TV sets are becoming colour sets and so my hair is loosing colour, nor the other way around. It is simply that both are correlated with the passage of time. Time is the confounding variable in this example.
The hair color of adults is considered a discrete characteristic because it can be categorized into distinct groups, such as blonde, brunette, red, and black. While there are variations and shades within these categories, the primary classification does not fall along a continuous spectrum like some physical traits. Therefore, hair color is best understood as a set of discrete options rather than a continuous range.
Qualitative.
A dependent variable for hair could be hair length, hair thickness, hair color, or hair texture. These are aspects of hair that can be measured and observed based on different experimental conditions or variables.
Hair colour is continuous because there is a continual range of values when it comes to hair colour
From a purist point of view, there is probably only a few true examples of discrete variation in humans. However, we have the common sense practical real world ways to describe some things as discrete. A coma scale used, Glasgow, is discrete. Also, vision is expressed as discrete values. See attached related links. In addition, number of seizures is discrete along with pulse (heart) rate.
Natural hair color is a discontinuous trait, as it is determined by a small number of distinct genes that control the production of melanin in hair follicles, resulting in a limited number of color options such as black, brown, blonde, red, etc.
Hair color is considered a nominal variable because it represents categories without any inherent order or ranking. Each hair color, such as brown, blonde, or black, is distinct but does not have a meaningful sequence. In contrast, ordinal variables have a clear, ordered relationship among the categories.
The continuous use of hair spray could lead to hair thinning. Hair spray weighs down the hair and adds chemicals to the strands.
eyes, hair, fingers and toes, vertebrates... most common body parts
Strength is the dependent variable b/c strength depends on type of hair.
Variables that may affect the results of an experiment are described by the umbrella term "extraneous variable". extraneous variables that actually affect the result without experimenter knowledge is called a confounding variables eg. if the experimenter is testing verbal recall performance, hair color is not going to effect the results. hair color is an extraneous variable, but not compound. but whether or not a subject had a good nights sleep can have a huge effect on the ability to remember words. therefore sleep is a compound variable.
His hair color is blue