Exam 4: The Scientific Method: The Gold Standard for Establishing Causality

In building a confidence interval for the ATE of an experiment, what object will determine the spread of the confidence interval?

Free

(Multiple Choice)

4.8/5

(32)

Question 1

Correct Answer:

Verified

Which of the following is not an assumption required to build a confidence level for an ATE in an experimental design?

Free

(Multiple Choice)

4.8/5

(31)

Question 2

Correct Answer:

Verified

Given the average outcomes for the treated and control groups, and their respective sample standard deviations, how does the number of observations impact the spread of a confidence interval?

Free

(Multiple Choice)

4.8/5

(38)

Question 3

Correct Answer:

Verified

In the scientific method, why is it crucial to start with a question before conducting the empirical analysis?

(Multiple Choice)

4.8/5

(39)

Question 4

Given that nonexperimental datasets are likely to have treatments that have not been randomly assigned, what is likely to contribute to difference in average outcomes between groups with different treatment levels?

(Multiple Choice)

4.8/5

(37)

Question 5

In evaluating the hypothesis test on experimental data, all the following will change the resulting p-value except for what?

(Multiple Choice)

4.9/5

(42)

Question 6

If you have a sufficiently large random sample from the population, but do not know how treatment was assigned, what object will a confidence interval centered on the difference in average outcomes for the treated and control groups be describing?

(Multiple Choice)

4.9/5

(38)

Question 7

In building a confidence interval for the ATE of an experiment, all the following objects will influence the spread of the confidence interval except what?

(Multiple Choice)

4.8/5

(38)

Question 8

Given the average outcomes for the treated and control groups, and their respective sample standard deviations how does the number of observations impact the p-value of a hypothesis test?

(Multiple Choice)

4.9/5

(35)

Question 9

When running an experiment, suppose we assume the participants in the experiment are a random sample of the population. Let Y_i be the outcome for individual i and let D_i equal one if individual i receives the treatment and zero otherwise. What does the assumption of a random treatment imply?

(Multiple Choice)

4.9/5

(31)

Question 10

In running an experiment, it is crucial that there exists both subjects who receive the treatment, but also subjects who do not because:

(Multiple Choice)

4.8/5

(43)

Question 11

Suppose Apple is considering increasing its advertising expenditures to promote the most recent iPhone. To try to assess the effect of such a move, it looks at sales in several small markets. In some of these markets Apple increased advertising expenditures by 30% and in others there was no change. When conducting this "experiment," what is the treatment?

(Multiple Choice)

4.8/5

(46)

Question 12

In trying to measure the "treatment effect" of getting an MBA on career earnings, the observation that individuals with an MBA have higher salaries than individuals without them is likely to suffer from which of the following?

(Multiple Choice)

4.7/5

(32)

Question 13

In building a confidence interval for the ATE of an experiment, what object will determine the center of the confidence interval?

(Multiple Choice)

4.9/5

(34)

Question 14

In nonexperimental data the nonrandom assignment of treatment leads to what?

(Multiple Choice)

4.9/5

(40)

Question 15

The process designed to generate knowledge through the collection and analysis of experimental data is known as the:

(Multiple Choice)

4.9/5

(34)

Question 16

Regardless of how treatment was assigned, what can be assumed about what the difference in the average outcomes of the treated and untreated groups is equal to?

(Multiple Choice)

4.9/5

(35)

Question 17

Among the six steps of the scientific method, the first step involves:

(Multiple Choice)

4.9/5

(36)

Question 18

While there are a few instances in the business world where one will observe experimental data, understanding the scientific method is critical because:

(Multiple Choice)

4.7/5

(34)

Question 19

How can applying the insights from the experiment ideal and the scientific method approach facilitate better analysis with nonexperimental data?

(Multiple Choice)

4.9/5

(35)

Question 20

Showing 1 - 20 of 50

In building a confidence interval for the ATE of an experiment, what object will determine the spread of the confidence interval?

Which of the following is not an assumption required to build a confidence level for an ATE in an experimental design?

Given the average outcomes for the treated and control groups, and their respective sample standard deviations, how does the number of observations impact the spread of a confidence interval?

In the scientific method, why is it crucial to start with a question before conducting the empirical analysis?

Given that nonexperimental datasets are likely to have treatments that have not been randomly assigned, what is likely to contribute to difference in average outcomes between groups with different treatment levels?

In evaluating the hypothesis test on experimental data, all the following will change the resulting p-value except for what?

If you have a sufficiently large random sample from the population, but do not know how treatment was assigned, what object will a confidence interval centered on the difference in average outcomes for the treated and control groups be describing?

In building a confidence interval for the ATE of an experiment, all the following objects will influence the spread of the confidence interval except what?

Given the average outcomes for the treated and control groups, and their respective sample standard deviations how does the number of observations impact the p-value of a hypothesis test?

When running an experiment, suppose we assume the participants in the experiment are a random sample of the population. Let Y_i be the outcome for individual i and let D_i equal one if individual i receives the treatment and zero otherwise. What does the assumption of a random treatment imply?

In running an experiment, it is crucial that there exists both subjects who receive the treatment, but also subjects who do not because:

In trying to measure the "treatment effect" of getting an MBA on career earnings, the observation that individuals with an MBA have higher salaries than individuals without them is likely to suffer from which of the following?

In building a confidence interval for the ATE of an experiment, what object will determine the center of the confidence interval?

In nonexperimental data the nonrandom assignment of treatment leads to what?

The process designed to generate knowledge through the collection and analysis of experimental data is known as the:

Regardless of how treatment was assigned, what can be assumed about what the difference in the average outcomes of the treated and untreated groups is equal to?

Among the six steps of the scientific method, the first step involves:

While there are a few instances in the business world where one will observe experimental data, understanding the scientific method is critical because:

How can applying the insights from the experiment ideal and the scientific method approach facilitate better analysis with nonexperimental data?

The Roles of Data and Predictive Analytics in Business

Reasoning With Data

Reasoning From Sample to Population

Linear Regression As a Fundamental Descriptive Tool

Correlation Vs Causality in Regression Analysis

Basic Methods for Establishing Causal Inference

Advanced Methods for Establishing Causal Inference

Prediction for a Dichotomous Variable

Identification and Data Assessment

Filters

Exam 4: The Scientific Method: The Gold Standard for Establishing Causality

In building a confidence interval for the ATE of an experiment, what object will determine the spread of the confidence interval?

Which of the following is not an assumption required to build a confidence level for an ATE in an experimental design?

Given the average outcomes for the treated and control groups, and their respective sample standard deviations, how does the number of observations impact the spread of a confidence interval?

In the scientific method, why is it crucial to start with a question before conducting the empirical analysis?

Given that nonexperimental datasets are likely to have treatments that have not been randomly assigned, what is likely to contribute to difference in average outcomes between groups with different treatment levels?

In evaluating the hypothesis test on experimental data, all the following will change the resulting p-value except for what?

If you have a sufficiently large random sample from the population, but do not know how treatment was assigned, what object will a confidence interval centered on the difference in average outcomes for the treated and control groups be describing?

In building a confidence interval for the ATE of an experiment, all the following objects will influence the spread of the confidence interval except what?

Given the average outcomes for the treated and control groups, and their respective sample standard deviations how does the number of observations impact the p-value of a hypothesis test?

When running an experiment, suppose we assume the participants in the experiment are a random sample of the population. Let Yi be the outcome for individual i and let Di equal one if individual i receives the treatment and zero otherwise. What does the assumption of a random treatment imply?

In running an experiment, it is crucial that there exists both subjects who receive the treatment, but also subjects who do not because:

In trying to measure the "treatment effect" of getting an MBA on career earnings, the observation that individuals with an MBA have higher salaries than individuals without them is likely to suffer from which of the following?

In building a confidence interval for the ATE of an experiment, what object will determine the center of the confidence interval?

In nonexperimental data the nonrandom assignment of treatment leads to what?

The process designed to generate knowledge through the collection and analysis of experimental data is known as the:

Regardless of how treatment was assigned, what can be assumed about what the difference in the average outcomes of the treated and untreated groups is equal to?

Among the six steps of the scientific method, the first step involves:

While there are a few instances in the business world where one will observe experimental data, understanding the scientific method is critical because:

How can applying the insights from the experiment ideal and the scientific method approach facilitate better analysis with nonexperimental data?

The Roles of Data and Predictive Analytics in Business

Reasoning With Data

Reasoning From Sample to Population

Linear Regression As a Fundamental Descriptive Tool

Correlation Vs Causality in Regression Analysis

Basic Methods for Establishing Causal Inference

Advanced Methods for Establishing Causal Inference

Prediction for a Dichotomous Variable

Identification and Data Assessment

Filters

When running an experiment, suppose we assume the participants in the experiment are a random sample of the population. Let Y_i be the outcome for individual i and let D_i equal one if individual i receives the treatment and zero otherwise. What does the assumption of a random treatment imply?