ek 9- Hypothesis Testing O Examples of null and alternative hypotheses that are one and two sided, explaining how to distinguish between them. O Examples of z-test for proportion, z-test for mean, t-test for mean with explanations of when you use each one and why, with computations. Interpretations of p-values for each of the above with context. O acer

Q: istical tools in ar

A: Primary KPIs: Sales Growth Sales Target ARPU Acquisition Cost CLV This sales dashboard depicts a…

Q: What are the ethical guidelines for statistical practice? How do they help get results for research?

A: Good statistical practice is fundamentally based on transparent assumptions, reproducible results,…

Q: What is the difference between a descriptive and inferential statistics? When should you use each…

A: Descriptive and inferential statistics are two types of statistical analyses that are commonly used…

Q: As a researcher, you are interested in predictors of helping behaviors in adults. After consulting…

A: It is needed to determine the dependent and independent variable.

Q: Does your service inclute statistics beyond measures of central temdency?

A: Measures of Central Tendency: Measures of central tendency is a single value and it will lies within…

Q: Discuss the differences and similarities between statistical estimation and statistical hypothesis…

A: The statistical estimation and statistical hypothesis testing are the two different areas of…

Q: If you are analyzing statistical data from a range of percentages of participant responses and…

A: If you are analyzing statistical data from a range of percentages of participant responses and…

Q: Identify the two most commonly used measures of center for quantitative data. Explain the relative…

A: The two most commonly used measures of center for quantitative data are mean and Median.  The mean…

Q: Define rigorous statistical analyses.

A: Definition of Statistics as given by Sir R.A.Fisher : The Science of Statistics is essentially a…

Q: Explain how the sample statistic and the population parameter relate to one another.

A: The objective of this question is to understand the relationship between a sample statistic and a…

Q: Why do we want to avoid bias when collecting data?

A: Bias : It is any trend or deviation from the truth in data collection, data analysis, interpretation…

Q: Describe the assumptions for ANOVA and explain how they may be diagnosed.

A: Introduction :-  There are some assumptions made to conduct ANOVA. We have to describe them and to…

Q: Pose a problem or question of interest that requires the organization and analysis of a suitable set…

A: Social scientists often perform qualitative research.

Q: Explain the tests of statistical significance?

A: It is asked to explain the tests of statistical significance.

Q: A researcher wants to estimate the proportion of depressed individuals taking a new anti-depressant…

A: According to the given information, we have A random sample of 275 individuals who had been taking…

Q: Which term best describes the consistency

A: Given that    We have to describe:  Which term best describes the consistency of an assessment…

Q: Why is it important to make sure that the measures you use in your research projects are valid an…

A: The objective of this question is to understand the importance of validity and reliability in…

Q: Describe a practical problem of your interest which could be solved by using ANOVA. Explain the…

A: ANOVA is used to test the significance difference between means of more than 2 series of data. In…

Q: How can the use of existing data and statistics help researchers? What are the benefits of using…

A: Here we have to explain how the statistics helps researchers in analyzing or using the existing…

Q: what is a statistical model

A: A statistical model is process of applying statistical analysis to the given data set and it…

Q: List the types of Sensitivity Analysis?

A: Sensitivity Analysis deals with finding out the amount by which we can change the input data for the…

Q: With reference to Healthcare, explain the applications of Statistical Quality control.

A: Statistical quality control is the use of statistical approaches to the monitoring and maintenance…

Q: Why is it important to include a test of effect size when reporting our statistical test results?

A: Effect size:-   effect size is a quantitative measure of the magnitude of the experimenter…

Q: What are the two most important questions/concepts that are foundational to statistical practice and…

A: Statistics is a method of interpreting, analyzing and summarizing the data. There are two major…

Q: The varaibility of a statistic is described by

A: The variability means the spread ness of the data set. The best measure of spread ness is standard…

Q: What are some of the key aspects to consider when collecting and preparing data for statistical…

A: Data collection: It is the process of collecting information on variable of interest for statistical…

Q: Describe why a researcher would use ANOVA. and Design a research idea that would require ANOVA to…

A: The one-way variance analysis (ANOVA) is used to evaluate if the mean of three or more independent…

Q: at is the relevance of statistical methods in summarizing d

A: What is the relevance of statistical methods in summarizing data?