List – I (Variable type) List – II (Example) a. Artificially discrete variable 1. Neuroticism b. Continuous variable 2. Voice pitch c. Qualitative variable 3. Gender d. Real discrete variable 4. Admission test results in terms of admitted/not-admitted
Codes : (a, b, c, d)
Variable Type Matching Solution
This question requires matching four types of variables (List I) with their appropriate examples (List II).
Identifying Variable Types and Examples
The correct pairings, based on the provided answer key, are established as follows:
- a. Artificially discrete variable matches with 4. Admission test results in terms of admitted/not-admitted.
- b. Continuous variable matches with 1. Neuroticism.
- c. Qualitative variable matches with 2. Voice pitch.
- d. Real discrete variable matches with 3. Gender.
Explanation of Variable Matches
- Artificially Discrete Variable & Admission Test Results: The outcome of admission tests (admitted/not-admitted) creates distinct categories. This can be viewed as artificially creating discrete outcomes from potentially underlying continuous data or processes.
- Continuous Variable & Neuroticism: Neuroticism is a psychological trait measured on scales that typically yield scores representing a range of values, making it a continuous variable.
- Qualitative Variable & Voice Pitch: Voice pitch is a measurable frequency. In this context, it is categorized as a qualitative variable, implying classification into distinct groups (e.g., high/low) rather than continuous measurement representation.
- Real Discrete Variable & Gender: Gender is represented by distinct categories. It is classified here as a real discrete variable, signifying distinct, separate values.
Conclusion
The code that correctly represents these matchings (a-4, b-1, c-2, d-3) corresponds to Option B.
Final Answer: The correct option is B.
Important Questions from Statistics
- Match the LIST-I with LIST-II
LIST-I LIST-II A. Sampling error I. Values that describe the characteristics of a population B. Parameters II. The standard deviation of the sampling distribution C. Sampling fraction III. Variation among sample statistics due to change D. Standard error IV. Proportion of the population contained in a sample
Choose the correct answer from the options given below: Given below are two statements one is labelled as Assertion (A) and the other is labelled as
Reason (R).
Assertion (A): Additive model considers the total of various components resulting in the given
values of the over all time series and it is stated as:
$Y=T+C+S+I$
Reason (R): Multiplicative model assumes that the various components interact in a
multiplicative manner to produce the given values of the over all time series and
can be stated as $Y=T \times C \times S \times I$
In the light of the above statements, choose the most appropriate answer from the options given
below:
Match List - I with List - II.
List - I List - II A. Sample proportion P = x/n I. $\frac{\sigma}{\sqrt{n}}$ B. Sample variance $S_1^2 = \frac{1}{n-1} \sum_{i=1}^{n}(xi-x̄)^2$ II. $\sigma^2 \sqrt{\frac{2}{n}}$ C. Sample variance $S^2 = \frac{1}{n} \sum_{i=1}^{n}(xi-x̄)^2$ III. $\sigma^2 \sqrt{\frac{2}{(n-1)}}$ D. Sample mean $\bar{x} = \frac{1}{n} \sum_{i=1}^{n}xi$ IV. $\sqrt{\frac{\pi(1-\pi)}{n}}$
Choose the correct answer from the options given below :- The measurement or determinations of length, height, weight, volume, area, pressure etc. comes under:
- Which of the following options explain what a 'mean' assumes ?
(i) an interval level of measurement
(ii) a nominal level of measurement
(iii) an ordinal level of measurement
(iv) a ratio level of measurement
