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 :
(A) is false, but (R) is true
To solve the given question, let's evaluate both the assertion and the reason provided:
- Assertion (A): "A researcher can draw a definitive conclusion even if there is a little evidence to support it."
In research, drawing definitive conclusions requires substantial and reliable evidence. A little evidence is generally insufficient for drawing definitive conclusions, as conclusions need to be based on a comprehensive analysis of adequate and valid data. Therefore, assertion (A) is false.
- Reason (R): "Statistical tests of significance help a researcher in drawing logically correct inferences from the data."
Statistical tests of significance are indeed critical in research as they provide tools to determine if the results are significant or if they may be due to chance. These tests help in assessing the relationship between variables and allow researchers to make logical inferences. Thus, reason (R) is true.
Now let's consider the options based on our analysis:
- Option 1: Both (A) and (R) are correct, and (R) is the correct explanation of (A) - This is incorrect as (A) is false.
- Option 2: Both (A) and (R) are correct, and (R) is not the correct explanation of (A) - This is incorrect because (A) is false.
- Option 3: (A) is true, but (R) is false - This is incorrect as (A) is false and (R) is true.
- Option 4: (A) is false, but (R) is true - This is the correct choice based on our analysis.
In conclusion, the correct answer is: (A) is false, but (R) is true.
Similar Questions
Given below are two statements:
Statement I: The p-value of a test depends on sample size.
Statement II: An important difference may not be statistically significant if the sample size is too small.
In the light of the above statements, choose the correct answer from the options given below:Which among the following softwares are used for data analysis in research?
A. SPSS
B. Microsoft Teams
C. Microsoft Excel
D. Prezi
E. PSPP
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?
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: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?
If you are to calculate Spearman's rho, what kind of data you would enter?
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.
Important Questions from Data Analysis
The quartile deviation of Normal Distribution is
A set of sample of 20 places of mean annual rainfall were randomly selected from a normally distributed universe that has mean annual rainfall of 320 cm. The sample mean was recorded 250 cm with standard deviation of 150 cm. Which one of the following significance tests is correct for the selected samples ?
Match List-I with List-II :
List-I
List-II
(a)
The most commonly used method of computing correlation between two variables
(i)
Intra-class correlation
(b)
An ANOVA technique used for estimating reliability of a measure
(ii)
Inter-class correlation
(c)
A technique used for estimating reliability of multiple-trials tests
(iii)
Inter-tester reliability
(d)
A form of reliability that pertains to the testers
(iv)
Coefficient alpha
Select the correct option :
Given below are two statements
Statement I: Paired t-test is used to compare two related means (μ 1 and µ 2)
Statement II: The t-test is a method used for inferential statistics
In light of the above statements, choose the most appropriate answer from the options given below
Match the items of List I with the items of List II and choose the correct answer from the code given below.
List I
List II
(a)
Descriptive statistics
(i)
Regression equation
(b)
Relationship statistics
(ii)
t-test
(c)
Predictive statistics
(iii)
Karl Pearson’s correlation
(d)
Comparative statistics
(iv)
Chi-square
(e)
Non-parametric statistics
(v)
Standard deviation
