WK 2 REPLY NOTES

REPLY 2-1 NiGa (100 words and 1 reference)

Random sampling is “a procedure designed to ensure that each potential observation in the population has an equal chance of being selected in a survey” (Witte & Witte, 2017, pg. 26). This is a simple approach that guarantees each member that is selected has an equal chance of being included in the sampling. This is classified as a probability sampling method. Random sampling is easy to implement and very important because it gives a fair chance and reduces bias however, it does not always provide a sample representative of the population. Factors and variables that influence the outcome include but are not limited to the study design, limited time, method of sampling and boundaries. “A random sample becomes an ideal that can only be approximated—always with an effort to remove obvious biases that might cause the sample to misrepresent the population” (Witte & Witte, 2017, pg. 26).

REPLY 2-1 KiTe (100 words and 1 reference)

"The random sampling procedure guarantees that the selected sample will be representative of the population" is incorrect because a random sample aims to represent the entire population fairly (American Psychological Association, n.d.). It is false because it applies to simple random sampling, in which each sample member has an equal chance of being chosen. Suppose it is a suitable method for selecting a sample from a larger population (since each member of the population has the same chance of being chosen). The selection of a model is guaranteed to represent the people through random sampling (Simkus, 2023). In contrast, in random sampling, each population unit has a predetermined chance of being included in the sample.  

The total population size, the margin of error, the confidence level, and the standard deviation are other variables and factors that affect the results of studies. The total population size refers to the number of individuals the data comprises (Salkind, 2012). The margin of error tells the percentage points that results will defer from the populistic value (Salkind, 2012). The level of confidence is the probability that estimates where the statistical parameter is located (Salkind, 2010). Lastly, the standard deviation measures the variation in the set of values given (Salkind, 2012). 

REPLY 2-2 ReCa (100 words and 1 reference)

Bob is bragging about beating Marge on the SAT when she didn't take the SAT. Marge took the ACT. Those are two different test, with different categories and different scoring systems. If Bob wanted to compare the two test to see who did better as an in general type thing he would need to find the z score for both test. The SAT has a mean of 500 and a standard deviation of 100. The ACT has a mean of 18 and a standard deviation of 6.

z= 400-500/100 z= 20-18/6

z=-1 z=.33

As you can see if you base the results only off the z scores, Marge scored higher.