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In a class of 28 six graders all but one of the students are 12 years old which two data measurements are the same for the students age and what are those measurements?
mode is 12 median is 12
Is age a discrete data or a continues data?
Age is typically considered continuous data because it can take on any value within a given range, including fractions and decimals (e.g., 25.5 years). However, in practical scenarios, age is often recorded as discrete data when expressed in whole years. Thus, while age can be treated as continuous, it is commonly categorized as discrete in everyday use.
Is age continuous data?
Age is typically considered to be continuous data. It can be measured as a precise number, such as 25.5 years, and can take on any value within a given range. However, in certain contexts, age may be treated as discrete data if it is categorized into distinct groups or intervals (e.g., 0-10, 11-20, 21-30 years).
Should a graph of age related to height be a continuous or a discrete graph?
The answer depends on whether or not age is expressed in whole years (discrete) or calculated from the date of birth (near continuous). It also depends on whether the number of observations is such that the data are presented as a grouped two-way table.
What type of data could be used for a frequency table?
A frequency table is typically used for categorical or discrete numerical data. Examples include survey responses (e.g., yes/no answers), demographic categories (e.g., age groups, genders), or counts of occurrences (e.g., the number of pets owned by individuals). Continuous data can be categorized into intervals to create a frequency table, but it is not ideal for raw continuous data.
In a class of 28 six graders all but one of the students are 12 years old which two data measurements are the same for the students age and what are those measurements?
mode is 12 median is 12
Is age a discrete data or a continues data?
Age is typically considered continuous data because it can take on any value within a given range, including fractions and decimals (e.g., 25.5 years). However, in practical scenarios, age is often recorded as discrete data when expressed in whole years. Thus, while age can be treated as continuous, it is commonly categorized as discrete in everyday use.
Is age continuous data?
Age is typically considered to be continuous data. It can be measured as a precise number, such as 25.5 years, and can take on any value within a given range. However, in certain contexts, age may be treated as discrete data if it is categorized into distinct groups or intervals (e.g., 0-10, 11-20, 21-30 years).
Why do students in a class vary in height?
All the people have different heights, no matter what their age is. Some students in a class would be eating a particular kind of food, or being fan of sports or just studios, which decides their height. And not all students are of the same age in a class. There may be students with late admissions, etc. And in colleges or universities the ages may vary upto 3-4 years.
The average age of a class of 39 students is 15 years if the age of the teacher is included then the average increases by 3 months find the age of the teacher?
25
Should a graph of age related to height be a continuous or a discrete graph?
The answer depends on whether or not age is expressed in whole years (discrete) or calculated from the date of birth (near continuous). It also depends on whether the number of observations is such that the data are presented as a grouped two-way table.
Is age a continuous variable?
Continuous variables have an unlimited number of possibilities between two points. In the scientific realm, age is a continuous variable.
What type of data could be used for a frequency table?
A frequency table is typically used for categorical or discrete numerical data. Examples include survey responses (e.g., yes/no answers), demographic categories (e.g., age groups, genders), or counts of occurrences (e.g., the number of pets owned by individuals). Continuous data can be categorized into intervals to create a frequency table, but it is not ideal for raw continuous data.
What is meta data in database management?
meta data can be define as the data about data....data is the known facts which can be recorded and altered...and the info. about the data is called meta data...example :-Suppose in a student table student name,age,sex,class,subject,stream all are the data of the student table and the data about these data(name,age,sex, etc...) like what type of data whether it is a integer or string or char and what is the range like age should be with in o-20 like the all are called Meta Data.......
Which data type do you use to store Age of all 100 students of BCA-II semester in your Learning Centre?
Int data type. Struct stud{ int age; }; main() { struct stud s[100]; int i; for(i=0;i<100;i++) { s[0].age-->gives age of 1st student.
What is the starting age for martial-arts?
At whatever age the school will take you. I've known people that didn't start until they were in their 60's. And I've had students as young as 4 that have done very well. My basic criteria is the child must be able to remain focused for the duration of the class (half an hour for my younger students) and follow instructions without disrupting the class.
What is quantitive data?
Quantitative data is collective data that can be measured by numbers and qualitative is data that is are words and cannot be divided by numbers.This is true. Here is a more precise answer:Quantitative data can be classified as continuous or numerical.Continuous data could for example: time, weight, age etc...Numerical would be zip codes of a given area, phone numbers in a telephone book etc...
