Updated: 9/15/2019

# Statistical Hypotheses and Error

0%
Topic
Review Topic
0
0
N/A
N/A
Questions
1
0
0
Topic
• Hypotheses
• Null Hypothesis (H0)
• Hypothesis of no difference
• i.e.Â There isÂ no linkÂ between disease and risk factor
• Alternative Hypothesis (H1)
• Hypothesis of difference
• i.e. There is aÂ linkÂ between disease and risk factor
• Type I error (False positive)
• Stating there is an association when none exits
• Incorrectly rejecting nullÂ hypothesis
• Î± = probability of type I error
• p = probability that results as or more extreme than those of the study would be observed if the null hypothesis were trueÂ
• General rule of thumb is that statistical significance is reached if pÂ â‰¤ 0.05
• Type II error (False negative)
• Stating there is no effect when an effect exists
• Incorrectly accepting nullÂ hypothesis
• Î² = probability of type II error
• Power (True Positive)
• Probability of correctly rejecting null hypothesis
• Power = 1 - Î²
• Power depends on
• Sample size
• Increasing sample size increases power
• Size of expected effect
• Increasing effect size increases power
• True Negative
• Probability of correctly accepting null hypothesis

Please rate this review topic.

You have never rated this topic.

Thank you. You can rate this topic again in 12 months.

Flashcards (0)
Cards
1 of 0
Questions (1)

(M2.OMB.18.1) In a study, 2 groups are placed on different statin medications, statin A and statin B. Baseline LDL levels are drawn for each group and are subsequently measured every 3 months for 1 year. Average baseline LDL levels for each group were identical. The group receiving statin A exhibited an 11 mg/dL greater reduction in LDL in comparison to the statin B group. Statistical analysis reports a p-value of 0.052. Which of the following best describes the meaning of this p-value?

QID: 210445
1

If 100 similar experiments were conducted, 5.2 of them would show similar results

5%

(1/19)

2

There is a 5.2% chance that A is more effective than B is due to chance

42%

(8/19)

3

There is a 94.8% chance that the difference observed reflects a real difference

16%

(3/19)

4

This is a statistically significant result

26%

(5/19)

5

Though A is more effective than B, there is a 5.2% chance the difference is due to a true effect

11%

(2/19)

M 5 C

Select Answer to see Preferred Response

VIDEOS & PODCASTS (1)
EXPERT COMMENTS (0)
Private Note