what is Probability sampling and non-probability sampling

Q: d) Hurwicz (alpha = 0.30) e) Equal Likelihood f) What coefficient of pessimism should a farmer…

A: Formulae used:  (i) Hurwicz = α x (Maximum Payoff for Alternatives) + (1 - α) x (Minimum Payoff for…

Q: Explain the distinction between replacement and nonreplacement sampling. Which method do auditors…

A: Replacement sampling When replacement sampling is used, an attribute there in population is sampled…

Q: please explain the following random sampling methods along with giving examples for each in a…

A: Sampling is a method of choosing individual members of a certain population sample or sample set to…

Q: Examine any three (3) aspects evaluated in pilot testing a questionnaire in a research study

A: The objective of this question is to identify and explain three key aspects that are evaluated…

Q: explaining probability and non-probability sampling and describing the different types of each?

A: Sampling is a method of choosing information from a population based on different criteria. Sampling…

Q: explain how alternative method of sampling used in the process of gathering data to support decision…

A: Sampling is a way of deciding the option available to the company to collect data from different…

Q: Define statistical database.

A: Statistical research is used extensively in organizations so that past performance can be used to…

Q: Can you describe when is it accurate to use systematic sampling or when is it not? Provide an…

A: Systematic sampling is a probability sampling method in which the researchers select members of the…

Q: What are similarities of Interrupted Time Series and Regression Discontinuity? What are some…

A: Statistical analysis is done by gathering and interpreting data so that it can help to discover…

Q: Stratified random sampling is a method of sampling that involves the division of a population into…

A: True

Q: What is sampling?

A: The sample is the group of people who will participate in the study. To draw valid conclusions from…

Q: state merits and demerits in collecting data of a questionnaires. Describe main aspects of a…

A: Data collection refers to the process of collecting information for use in research and…

Q: Differentiate between Regression and Correlation Analysis?

A: The differences between correlation analysis and regression analysis is given below: Correlation…

Q: choose: Any attribute of interest on which data are collected and analysed: 1. Statistics 2. ordinal…

A: The correct choice is: 1. Statistics  In the context of the given options, "Statistics" refers to a…

Q: What is the benefit of using strategic alignment model (SAM ) in studies??

A: Strategic alignment can be characterized as the art and science of defining, coordinating, and…

Q: Why are adjusted ORs more reliable when trying to determine whkther and how a predictor variable is…

A: Anything which changes and is not constant is called as a variable. A variable is characteristic of…

Q: Square

A: What is a Least Squares Regression Line?

Q: Data miners may find EDA more productive than hypothesis testing.

A: It is true that data miners may find exploratory data analysis (EDA) more productive than hypothesis…

Q: In a cohort study men were classified as having high or low cholesterol levels. Among the group with…

A: Given, in high cholesterol level group, 100 heart attacks occur in 4000 person years of follow up.…

Q: Which sampling method includes elements from each of several mutually exclusive groups within a…

A: Sampling is a statistical method that involves selecting a portion of a population to represent the…

Q: 11. Matching the sampling method with the most appropriate description One potential participant is…

A: Sampling is a process of selecting a subset of individuals from a larger population for the purpose…

Q: Provide an example of the null hypothesis and a corresponding example of a alternative Hypothesis.…

A: In statistics, hypothesis testing is a method that uses data from a sample make conclusions about a…

Q: Discuss at least 2 different data collection methods you could use.  What are the differences…

A: Data collection is a fundamental step in any research process, aiming to gather relevant information…

Q: How can you determine which evaluative criteriaconsumers use?

A: Every consumer has his/her criteria to select a product and evaluate its performance. These criteria…

Q: discuss two sampling techniquesfor qualitative research

A: Probability sampling will always include some kind of random or probabilistic procedure to select…

Q: As you know from the classes after you are done with the questionnaire, you have to sample the…

A: Probability sampling refers to a sampling strategy in which all members of a population have an…

Q: A survey of 40 retail store reported the following amount of sales (in thousand) held in the month…

A: Given, Number of Sales Frequency 10-14 3 15-19 5 20-24 12 25-29 9 30-34 8 35-39 3

Q: Based on the table below, which interpretation is NOT correct? X3-- Food Quality X13 Satisfaction…

A: Correlation is a statistical technique which is used to determine the relationship between two or…

Q: can you explain three outpots of CONNNNONication martrix model with some examples ?

A: The communication matrix is a tool that can be used to help individuals and groups determine their…

Q: New housing starts and construction-related products tend to exhibit which kind of behavior? (A)…

A: Patterns allow us to view things that would otherwise be hidden by using a portion of the image.…

Q: Explain how cluster sampling is different from stratified sampling

A: Cluster sampling is the process of dividing the population into multiple groups or clusters and it…

Forecasting

Forecasting is a methodology that uses historical data as inputs to make well-informed predictions about the course of future trends. Forecasting is the method of making forecasts based on historical and current data, most commonly by trend analysis. In the business world, forecasting is a basic statistical task. Forecasting is used by businesses to decide how to allocate their budgets or prepare for expected expenditures in the future. Forecasts help managers formulate and execute production plans by providing forecasts. The primary goal of forecasting is to make accurate predictions.