Among the following, identify the continuous type of data:
Weight of students in a class
To identify the continuous type of data among the given options, we need to understand the characteristics of continuous data:
Continuous Data: This type of data can take any value within a given range and is often measurable. It can have decimals or fractions and includes variables that can theoretically take on an infinite number of values. Examples include height, weight, temperature, etc.
Let's analyze each option:
- Number of languages a person speaks: This is discrete data, as the number of languages can be counted, and it cannot be a fractional value (e.g., a person cannot speak 2.5 languages).
- Number of children in a household: This is also discrete data, since the number of children can be counted exactly and cannot include fractions (e.g., you cannot have 2.5 children).
- Population of cities: Population is generally classified as discrete data because it is counted in whole numbers, not fractions.
- Weight of students in a class: This is continuous data, as weight can vary on a continuous scale and can include fractional values (e.g., a student can weigh 45.5 kg).
Based on this analysis, the correct answer is:
Weight of students in a class
This is because weight is a measurable quantity that can take on any value within a possible range and includes decimals.
Similar Questions
Given below are two statements:
Statement I: Like correlation, statistical regression examines the association or relationship between variables.
Statement II: The primary purpose of regression is prediction.
In the light of the above statements, choose the most appropriate answer from the options given below:
Given below are two statements :
Statement I : t-tests are appropriate only when the dependent variables being measured are continuous.
Statement II : Chi-square statistic allows us to test hypotheses using both continuous and ordinal data.
In the light of the above statements, choose the most appropriate answer from the options given below :
Which of the following statistical technique will be appropriate for data analysis when the observations are available in the form of frequencies?
If data has been recorded using technical media, which among the following is a necessary step on the way to its interpretation?
The advantages of secondary analysis in research are:
(a) It is inexpensive.
(b) There is no need to construct a measuring instrument.
(c) Data archives are a valuable source.
(d) Useful opportunity is provided to produce valuable knowledge.
(e) Provides less time to understand data.
If you are to calculate Spearman's rho, what kind of data you would enter?
Given below are two statements - one is labelled as Assertion (A) and the other is labelled as Reason (R) :
Assertion (A) : A researcher can draw a definitive conclusion even if there is a little evidence to support it.
Reasons (R) : Statistical test of significances helps a researcher in drawing logically correct inferences from the data.
In the light of the above statements choose the correct option :
The frequency distribution of a research data which is symmetrical in shape similar to a normal distribution but center peak is much higher, is
Given below are two statements:
Statement I: Content analysis cannot be applied to visual materials.
Statement II: It is difficult to ascertain answers to 'why?' questions through content analysis.
In the light of the above statements, choose the correct answer from the options given below:In conducting One way analysis of Variance, which of the following test statistics would be used?
Important Questions from Data Analysis
- What does coding in data preparation refer to ?
- What are the primary objectives of editing in the data preparation process?
(a) Correcting errors & Omissions
(b) Ensuring data is consistent with other facets gathered
(c) Making data easier for statistical analysis
(d) Writing new responses where the original is unclear.
Choose the answer from the following : - Arrange the steps in correct sequence of data analysis process for monitoring and evaluation of Public Nutrition problem :
(i) Identify pattern, trends and possible interpretations
(ii) Collect information around the indicators
(iii) Determine key indicator for the evaluation and monitoring process
(iv) Develop a structure for analysis
(v) Use of SWOT technique for interpretation of data and drawing conclusions
code : Given below are two statements:
Statement I: Like correlation, statistical regression examines the association or relationship between variables.
Statement II: The primary purpose of regression is prediction.
In the light of the above statements, choose the most appropriate answer from the options given below:
Given below are two statements :
Statement I : t-tests are appropriate only when the dependent variables being measured are continuous.
Statement II : Chi-square statistic allows us to test hypotheses using both continuous and ordinal data.
In the light of the above statements, choose the most appropriate answer from the options given below :
