the numbers of red cars on various roads are an example of which type of data? course hero

What type of data is number of cars?

There are many different types of data: qualitative data - data that can only be written in words, not numbers, for example, the colours of cars in a car park. quantitative data - data that can be written in numbers, for example, the heights of children.

Is number of cars nominal or ordinal?

Cars described as compact, midsize, and full-size - it is an ordinal measurement, since the order of the category matters.

Is car type ordinal?

Ordinal scale category of vehicle (compact car, medium-sized vehicle, luxury car, etc.)

What type of data uses numbers?

Numerical data is a data type expressed in numbers, rather than natural language description. Sometimes called quantitative data, numerical data is always collected in number form.

Is color nominal or ordinal?

When measuring using a nominal scale, one simply names or categorizes responses. Gender, handedness, favorite color, and religion are examples of variables measured on a nominal scale. The essential point about nominal scales is that they do not imply any ordering among the responses.

What is nominal data examples?

Examples of nominal data include country, gender, race, hair color etc. of a group of people, while that of ordinal data includes having a position in class as “First” or “Second”. Note that the nominal data examples are nouns, with no order to them while ordinal data examples come with a level of order.

What is a nominal data?

Nominal data is data that can be labelled or classified into mutually exclusive categories within a variable. These categories cannot be ordered in a meaningful way.

What are nominal and ordinal data?

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.

What are the examples of ordinal data?

Examples of ordinal variables include: socio economic status (“low income”,”middle income”,”high income”), education level (“high school”,”BS”,”MS”,”PhD”), income level (“less than 50K”, “50K-100K”, “over 100K”), satisfaction rating (“extremely dislike”, “dislike”, “neutral”, “like”, “extremely like”).

What is an ordinal data type?

In statistics, ordinal data are the type of data in which the values follow a natural order. One of the most notable features of ordinal data is that the differences between the data values cannot be determined or are meaningless.

What is numerical discrete data?

Discrete data is a numerical type of data that includes whole, concrete numbers with specific and fixed data values determined by counting. Continuous data includes complex numbers and varying data values that are measured over a specific time interval.

What is a discrete data?

Discrete data is information that can only take certain values. These values don't have to be whole numbers (a child might have a shoe size of 3.5 or a company may make a profit of £3456.25 for example) but they are fixed values – a child cannot have a shoe size of 3.72!

Why are numbers of houses discrete?

Numbers of houses are discrete data because houses are counted in whole numbers. A house under construction is still a house. Numbers of elliptical machines in every YMCA in your state. The numbers of elliptical machines are counts, so these are discrete data. Heights of doors.

Is paint counted quantitative data?

The numbers of paint choices must be counted, so they are quantitative data as well. Temperature s in Fahrenheit of cities in South Carolina. Temperatures could be measured to any level of precision based on the thermometer used, so these are continuous data. Numbers of houses in various neighborhoods in a city.

Is the amount of time it takes for each runner to run a race quantitative?

The amount of time it takes for each runner to run the race is quantitative since calculations performed on these data are meaningful. A finishing time is a measurement, therefore the data are continuous. Differences between finishing times are meaningful, and a time of zero represents the absence of racing.

How many variables are there in traffic accidents to isolate the effect of car color?

e. There are two many variables in traffic accidents to isolate the effect of car color.

Why is random assignment important?

What is the most important reason for this random assignment. a. Random assignment eliminates the effects of other variables such as traffic volume and sun exposure. b. Random assignment is a good way to create two groups of road segments that are roughly equivalent.

What does random assignment reduce?

d. Random assignment reduces the variation in the amount of fading.

Did the football players randomly select the group?

b. No, the group of football players wasn't randomly selected.

Is it hard to tell if a red car is black or red?

a. It can be hard to determine whether red cars or black cars are more visible on modern highways.