Explain the difference between the one-way fixed effects model and the one-way random effects model.

Q: Explain the difference between the one-way fixed effects model and the one-way random effects model.

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Q: How forecasting is quite different from the estimation of causal effects.?

A: Time series data is commonly used to forecast. For example, economic growth for next year is…

Q: What are the explanatory variable and response variable for this relationship?

A: Given that among a group of 138 customers aged 14-23 who send more text messages tend to use a…

Q: What are the possible values of the linear correlation coefficient?

A: The correlation coefficient measures the linear relationship between two quantitative variables.

Q: The two types of variance that can occur in our data are A. Independent and dependent

A: Hello! As you have posted 2 different questions, we are answering the first question. In case you…

Q: Explain the Potential Outcomes and the Average Causal Effect of using randomized controlled…

A: A potential outcome is the outcome for an individual under a potential treatment. And the casual…

Q: Many economic and business measures such as sales, investment, consumption, costs, and revenues can…

A: Discrete Random Variable: A random variable is a variable which is countable in an infinite amount…

Q: Which method describes an experiment?

A: HERE scenarios are given for check whether additive improve milage of car

Q: What are the assumptions for a paired difference experimental design?

A: In paired experimental design, each study unit contributes a pair of observations which implies…

Q: How can human bias influence data used to test hypothesis?

A: We have to write How can human bias influence data used to test hypothesis.

Q: How can the sample covariance be used to estimate the covariance of random variables?

A: The covariance is used to measure the relationship between two random variables, that is, to what…

Q: What is the difference between a fixed effect factor and a random effect factor?

A: The fixed effect factor is defined as when data has been gathered from all the levels of the factor…

Q: What are the conclusions of the study?

A: Parametric test is used to determine the mean significance between the sample and population when…

Q: Define the estimation of Dynamic Causal Effects with Exogenous Regressors?

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Q: What does it mean if the cases are not selected randomly but are assigned randomly to groups?

A: “Since you have asked multiple questions, we will solve the first question for you. If you want any…

Q: Describe what does a non-statistical evaluation of the graphs of data for the two-factor experiment…

A: In design of experiment , "Factorial design" allows experiment to do study on many factors…

Q: If a process in a factory is in a state of statistical control it means that it is unstable. True…

A: The given statement is "If a process in a factory is in a state of statistical control it means that…

Q: Explain why the null hypothesis should not be accepted when the effect is not significant?

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Q: Compared to a bivariate correlation coefficient, what additional information does a partial…

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Q: Compared to observational studies like cohort and case-control studies, experimental studies like…

A: Given, The statement to check true or false?           To find, Experimental studies like RCTs are…

Q: When is the population standard greater than the population variance?

A: Variance: The variation between each observation from its mean is known as variance. The greater the…

Q: State the assumptions for one-way fixed effects model and the one-way random effects model.

A: Fixed Effects : It is assumed that 1)ε i ( j ) is normally and independently distributed with a mean…

Q: Why is randomization the best method for dealing with extraneous variables?

A: Here we have to explain why randomization is the best method for dealing with extraneous variables

Q: What is the sample covariance?

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Q: How do you conduct a comparative experiment ?

A: Introduction An experiment is a procedure which can be repeated infinitely and has a well-defined…

Q: what happens to the F-statistic if two variances are different?

A: The two variances are different hence the F-statistic are as follows,

Q: experiment?

A: Given Data: Percentage of babies recovered fully = 40% Total babies in the hospital = 7 Let the…

Q: What are Randomized Policies?

A: Randomized Policies

Q: Define Omitted Variable Bias? Explain Solutions to omitted variable bias when the variable is…

A: Omitted variable bias is the bias that arise when the regressor, X, is associated with an omitted…

Q: What does an interaction in two-way ANOVA mean?

A: In two-way ANOVA two factors are analyzed at different levels, in this design the interaction…

Q: What does a non-statistical evaluation of the graphs of data for the two-factor experiment suggests?

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Q: what test is used to determine whether two population means are different when the variance are…

A: Solution :  when the variance are known and sample size is large then we use z test to determine…

Q: Based on your understanding of how we calculate an ANOVA, what type of variance is most important to…

A: ANALYSIS OF VARIANCE (ANOVA)                   Analysis of variance (ANOVA) is a…

Q: Explain how the average causal effect for a given population can be estimated by using an ideal…

A: Causal effect may be different for different individuals and it is not possible to measure the…

Q: How to create a good research hypothesis?

A: *Answer :    There are several criteria that make a research hypothesis a good one, and following…

Q: Describe how the goal of an experimental research study is different from the goal for…

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Q: Describe briefly the concepts of Completely Randomized Design (CRD) as they apply to agricultural…

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Q: Explain the reasons to study randomized controlled experiments?

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Q: Correlation studies are designed to minimize other possible explanations and conclude a causal…

A: Correlation studies are designed to check the linear relationship between the variables and…

Q: What are the various Potential Problems with Quasi-Experiments?

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Q: Why is correlation not causation?

A: Correlational research is a kind of research that involves non-experimental research.

Q: Think of a research scenario for which either 1-way or 2-way ANOVA would be needed to analyze the…

A: ANOVA is splitting up of total variance into variance due to several factors and variance due to…

Q: Explain the concept of Quasi-Experiments?

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Q: What are the findings of the study?

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Q: The difference between an observed value and a predicted value of the response variable is called a…

A: Residual: The difference between the observed value of the response variable and actual value of the…

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related. 

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.