What design should be used (experimental or correlation) when creating a case study based on happiness

Q: What is the difference between preventative measures and preventative statistics of a disease

A: preventive  healthcare or preventive  medicine refers to the measures taken in order to prevent and…

Q: Discuss the meaning and use of THREE (3) measures of central tendency and TWO (2) measures of…

A: Introduction: A measure of central tendency of data is a measure of the tendency of the values to…

Q: Differentiate between causation and correlation, and explain why this distinction is important

A: Correlation is a statistical term whichdescribes relation between two variables. It does not however…

Q: What is the difference between correlation and causation in statistics, and why is it important to…

A: Correlation and causation are two important concepts in statistics that are often misunderstood or…

Q: For a particular value of a predictor variable, is there a difference between the predicted value of…

A: Introduction: Suppose the population regression equation for a simple linear regression model of the…

Q: What is an important difference between correlation and causation? Which is harder to establish, and…

A: We have to tell about the difference between correlation and the causation. Correlation :…

Q: 2. What are the differences between qualitative and quantitative data analysis?

A: Difference between qualitative and quantitative data analysis

Q: What is the value of the standardized test​ statistic?

A:

Q: How is the normal curve important in psychological testing?

A: Here we have to explain how the normal curve important in psychological testing

Q: What is the best statistical method to use when measuring two nominal level variables? Why?

A: Nominal scales are used, without any quantitative significance, to label variables. One might…

Q: What is the difference between correlation and causation in statistics? Why is it important to…

A: Correlation and causation are two concepts in statistics that are often confused with each other.…

Q: What is regression toward the mean, and how can it influence our interpretation of events?

A: Regression is a statistical measure, which measures the relationship between the means of dependent…

Q: What are some common pitfalls to avoid when conducting data analysis, and how can these be…

A:

Q: Explain the Sources of variability and F ratios in one- and two-factor ANOVAs.

A:

Q: What is the difference between correlation and causation?

A: Correlation: Correlation analysis is used to measure the strength of the association between…

Q: List and describe two of the common types of explanation for statistical relationship (other than…

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: Explain the concept of standardize the predictor variable ?

A: Standardization is the process of putting different variables on the same scale. The standardization…

Q: Manipulating data or analyses to artificially get a significant result is called

A: Given the term... Manipulating data or analyses to artificially get a significant result is called

Q: How would you explain conducting a scatter graph to someone who has never heard of correlation (but…

A: Scatter graph is a graph that is drawn to visualize the relationship between two variables ,x and y,…

Q: What is Measures of Central Tendency?

A: Often,the data which will be provided will have a tendency,not withstanding their variability, to…

Q: why is the decline in cohort quality overestimated in cross-sectional data?

A:

Q: What statistical method would you use when your variables are nominal and your measure of central…

A: Nominal variables are qualitative variables with categories having no natural ordering in it. For a…

Q: what is a statistical model

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

Q: Why do the study on the data variability is called as the complementary to the study on central…

A: Central tendency is the tendency of the quantitative data set to cluster around the some central…

Q: When do we use a t-statistic instead of a z-statistic to help infer a mean?

A: Hypothesis tests are used to test population claims. It has two population statements, where one is…

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: 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: if we are not doing inferential statistics, what is most frequently the best measure of central…

A: Inferential statistics involves making inferences about a pop. by examining random samples.

Q: Illustrate Test the difference between a complete and reduced model for significance?

A:

Q: You want to know what brand of computer students prefer, what statistic is most appropriate

A: In the given problem we have to answer the question of, You want to know what brand of computer…

Q: What is Measures of Central Tendency? The most common measures of central tendency?

A: What is Measures of Central Tendency? The most common measures of central tendency? A measure of…

Q: Explain why there is more than one method for measuring central tendency?. Why not use a singly…

A: Different methods are needed because variables can have different levels of measurement and a…

Q: Why is the combination of the measures of central tendency and measures of variation so informative…

A: Measures of central tendency gives the middle or central value which represents the whole data in a…