Match the items of List-I with the items of List-II and select the correct answer: List-I List-II a. Standard error of mean 1. $$Ha:{\mu _1} \ne {\mu _2}$$ b. Base of point estimate of the mean of the population 2. Values based on all the observations of the population c. Non-specific hypothesis 3. Mean of the sampling distribution of mean d. Parameter value of descriptive statistics 4. Standard deviation of the sampling distribution of mean

The correct answer is C.

a. Standard error of mean (SEM) is the standard deviation of the sampling distribution of the mean. It is a measure of how much variability there is in the sampling distribution of the mean.
b. Base of point estimate of the mean of the population is the sample mean. It is the average of the values in the sample.
c. Non-specific hypothesis is a hypothesis that does not specify the value of the parameter. In the case of a mean, a non-specific hypothesis would be $H_0: \mu \neq \mu_0$, where $\mu_0$ is some specified value.
d. Parameter value of descriptive statistics is the value of the parameter that is estimated by the descriptive statistic. In the case of a mean, the parameter is $\mu$ and the descriptive statistic is the sample mean.

Here is a more detailed explanation of each option:

• Option A is incorrect because the standard error of mean is not the mean of the sampling distribution of the mean. The mean of the sampling distribution of the mean is the sample mean.
• Option B is incorrect because the base of point estimate of the mean of the population is not the standard deviation of the sampling distribution of the mean. The standard deviation of the sampling distribution of the mean is the standard error of mean.
• Option C is correct because the standard error of mean is the standard deviation of the sampling distribution of the mean, the base of point estimate of the mean of the population is the sample mean, the non-specific hypothesis is a hypothesis that does not specify the value of the parameter, and the parameter value of descriptive statistics is the value of the parameter that is estimated by the descriptive statistic.
• Option D is incorrect because the standard error of mean is not the mean of the sampling distribution of the mean, the base of point estimate of the mean of the population is not the standard deviation of the sampling distribution of the mean, the non-specific hypothesis is not a hypothesis that does not specify the value of the parameter, and the parameter value of descriptive statistics is not the value of the parameter that is estimated by the descriptive statistic.