Statistics & Applications

Inferential

Easy

applied

As per the concept of inferential statistics, population stands for:-

A finite subset of the aggregate objects with the aim of investigating its properties.

The statistical constant of the aggregate objects like mean (μ), variance (σ²) etc.

It is the aggregate of objects under study in any statistical investigation.

Any statistical quantity calculated on the basis of the random sample.

✅ Correct Option: 3

In inferential statistics the population is the entire aggregate of objects under study, from which a sample is drawn. A subset is a sample, constants like $\mu$ and $\sigma^2$ are parameters, and a quantity computed from a sample is a statistic.

2025: 19 May Shift 1

Which of the following are types of "statistical inferences"?

(A) Point estimation

(B) Interval estimation

(D) Hypothesis testing

Choose the correct answer from the options given below:

2025: 21 May Shift 1

If we reject the null hypothesis when it is true, we might be making

2025: 29 May Shift 2

Consider the following hypothesis test:-

H₀: μ = 20

H₁: μ ≠ 20

A sample of 40 provided a sample mean of 19. The standard deviation is 3. Then the value of the t-test statistic is:

2025: 30 May Shift 1

Match List-I with List-II

List-I	List-II
(A) The chance of observing a specific outcome in an experiment	(I) Parameter
(B) A method used to estimate the population parameters	(II) Estimation
(C) A value that describes an entire population	(III) Statistic
(D) A measurable characteristic of a sample	(IV) Probability distribution

Choose the correct answer from the options given below:

2025: 14 May Shift 2

A specific characteristic of a sample is known as a

2026: 29 May Shift 1

A simple random sample of 64 items from a population with standard deviation $\sigma=4$ resulted in a sample mean of 35. What is the margin of error for the population mean at a 95% confidence level? (Given $Z_{0.025}=1.96$ )

As per the concept of inferential statistics, population stands for:-

Solution

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