Answer According to Gupta and Kapoor (2020), Central Limit Theorem is the sampling distribution of the sample as normal distribution when sample size increases. In the […]

Answer Sampling population is always based on primary enumeration and consideration of techniques such as precision and accuracy. In this case, ……………………………………………………………………………………………………………………..

Answer Lower bound is regarded as the smallest value that can be rounded up to an estimated value. Whereas, upper bound is ……………………………………………………………………………………………………………………

Answer Sample sizes are always proportional to the zero margin denoted as (σ) researchers can easily constrain with small sample size for economic reason. Small sample […]

Answer Normal distribution elaborates how variable values are distributed in a symmetric distribution where most of the cluster observation in the central peak and the p […]

Answer On the other hand, standard error is regarded as inaccuracy in examining estimates. The sample mean of the measured variables, mean and frequency comparisons such […]

Answer Standard deviation measures the spread of sample distribution. These can be used to effectively compare ………………………………………………………………………………………………………………………………

Answer Mean plays a critical role in identifying the probability of distribution in random sample. Mean can be used to update estimates ……………. ………………………………………………………………………………………..

Answer According to Johnson and Bhattacharyya (2019), sampling distribution can be understood as a distribution of probability used in selecting the target population and utilizing random […]