Match the terms mentioned List I with the definitions mentioned in List II.

LIST-I	LIST-II
A. Confidence interval	I. In a hypothesis test, the probability of making wrong decision when the null hypothesis is true.
B. Margin of error	II. The number of independent pieces of information on which an approximation is based.
C. Significance level	III. A range of values, derived from sample statistic which is likely to contain the value of an unknown population parameter.
D. Degree of freedom	IV. In a confidence interval, the range of values, above and below the sample statistic.

Choose the correct answer from the options given below:

Consider the following hypothesis test:

$H_0: \mu = 18$

$H_1: \mu \neq 18$

If a sample of 48 provided a sample mean $\bar{x} = 17$ and a sample standard deviation $\sigma = 4.5$, then the value of the t-test statistic is:

Arrange the following as per statistical inferences:

(A) Data Analysis

(B) Population

(C) Making Inferences

(D) Data Collection

Choose the correct answer from the options given below:

If the following data is obtained from a simple random sample:

6, 7, 9, 10, 11, 17

Then the point estimate of population standard deviation is:

If 95% confidence interval for the population mean was reported to be 140 to 150 and $\sigma = 25$, then size of the sample used in this study is:

[Given: $Z_{0.025} = 1.96$]

In a survey for a sample of 300 individuals, 180 persons gave responses 'Yes' and 100 gave responses 'No' and 20 gave "No response". Then point estimate of proposition in the population who responded "Yes" is

The point estimate of the population standard deviation as per the below mentioned data from a simple random sample 6,10,15,12,9,8 will be :-