When developing an interval estimate for the difference between two sample means, with sample sizes of ng and n2. n1 must be larger than n2 O ni must be equal to n2 O ni must be smaller than n2 O ni and n2 can be of different sizes
When developing an interval estimate for the difference between two sample means, with sample sizes of ng and n2. n1 must be larger than n2 O ni must be equal to n2 O ni must be smaller than n2 O ni and n2 can be of different sizes
Chapter1: Making Economics Decisions
Section: Chapter Questions
Problem 1QTC
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![When developing an interval estimate for the difference between two sample means, with sample
sizes of n and n2,
n1 must be larger than n2
O ni must be equal to n2
ni must be smaller than n2
O n1 and n2 can be of different sizes](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F62d21ccc-f91f-4f6f-bb86-582f54130b6b%2F153ef8bc-afc2-4ac0-81ed-b441b9e2a61d%2Fpnf7mie_processed.jpeg&w=3840&q=75)
Transcribed Image Text:When developing an interval estimate for the difference between two sample means, with sample
sizes of n and n2,
n1 must be larger than n2
O ni must be equal to n2
ni must be smaller than n2
O n1 and n2 can be of different sizes
![In a regression line, the
predictions are.
the standard error of the estimate is, the more accurate the
O The standard error of the estimate is not related to the accuracy of the predictions.
Larger
Smaller
When you calculate your regression line, you are:
Finding the absolute value of the error terms and minimizing the sum of the absolute values
O Minimizing the sum of the errors
O Finding the error for each observation, squaring the error and minimizing the sum](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F62d21ccc-f91f-4f6f-bb86-582f54130b6b%2F153ef8bc-afc2-4ac0-81ed-b441b9e2a61d%2Ff1p4ncr_processed.jpeg&w=3840&q=75)
Transcribed Image Text:In a regression line, the
predictions are.
the standard error of the estimate is, the more accurate the
O The standard error of the estimate is not related to the accuracy of the predictions.
Larger
Smaller
When you calculate your regression line, you are:
Finding the absolute value of the error terms and minimizing the sum of the absolute values
O Minimizing the sum of the errors
O Finding the error for each observation, squaring the error and minimizing the sum
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