• #### 1.  Margin of error equals:

• Critical Value ∗ standard Error
• z*
• 1.96
• Standard Error
• #### 2.  To test a claim about a mean, when the population standard deviation is unknown we use:

• z procedures
• Pythagorean Theorem
• t procedures
• np > 10 and n(1-p) > 10
• #### 3.  What do we use to estimate unknown parameters?

• Hypothesis Test
• Confidence Interval
• Trig Identity
• Guess and check

• True
• False

• < or >
• =
• >
• = or >
• #### 6.  What is the Power of a test?

• A strong force
• The probability that we correctly reject a false null.
• The probability that we correctly accept a true null.
• How tough it is.

• Ha
• Ho
• t*
• HP
• μ﻿
• #### 8.  What does it mean when a test is statistically significant?

• it has reached alpha level status
• the test statistic had a P-value higher than the alpha level
• the test statistic had a P-value lower than the alpha level
• it is important in practical terms
• #### 9.  How can you reduce both Type I and Type II errors?

• it can't be reduced
• redo the tests
• increase the sample size
• tamper with the data
• #### 10.  When p-value is greater than alpha we:

• Accept Ho
• Accept Ha
• Fail to reject Ho
• Reject Ho
• #### 11.  When conducting a significance test for the difference in proportions, why do we pool the data when finding standard error?

• Because we like to swim
• Because we assume p1 = p2 in Ho
• Because the sample sizes are always equal
• To be safe and make sure we don't underestimate the standard error
• Because we don't the standard deviation.
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