exam2 solutions
... 1. Power: The probability of finding an effect (by rejecting H0) when there is one 2. Sampling distribution: The probability distribution for values a statistic can take on across different samples 3. Law of large numbers: The fact that the sample mean becomes more reliable, and its standard error g ...
... 1. Power: The probability of finding an effect (by rejecting H0) when there is one 2. Sampling distribution: The probability distribution for values a statistic can take on across different samples 3. Law of large numbers: The fact that the sample mean becomes more reliable, and its standard error g ...
Measuring errors Hypothesis test Hypothesis test (2) Significance
... with the current interface for a system the average time to complete a task is t = 5sec a new interface is proposed that should improve on this to test the new interface, it was agreed that n = 200 users would try out the new system let’s say that Y is the average time in which the 200 users complet ...
... with the current interface for a system the average time to complete a task is t = 5sec a new interface is proposed that should improve on this to test the new interface, it was agreed that n = 200 users would try out the new system let’s say that Y is the average time in which the 200 users complet ...
Powerpoint
... standardizing them – Translate scores into z-scores – (Value – mean) / standard deviation ...
... standardizing them – Translate scores into z-scores – (Value – mean) / standard deviation ...
Chapter 5 - hypothesis
... produce 4% defective chips. Whenever the machine produces more than 4% defective chips it needs an adjustment.To check if the machine is working properly, the quality control department at the company often takes sample of chips and inspects them to determine if they are good or defective. One such ...
... produce 4% defective chips. Whenever the machine produces more than 4% defective chips it needs an adjustment.To check if the machine is working properly, the quality control department at the company often takes sample of chips and inspects them to determine if they are good or defective. One such ...
Test of Significance
... if we are seeking to make a decision, this could be argued either way. If exercisers are no different, we would get results this small or smaller about 2.28% of the time by chance. This result is significant at the 5% level, but is not signficant at the 1% level. We would likely reject H0. The ...
... if we are seeking to make a decision, this could be argued either way. If exercisers are no different, we would get results this small or smaller about 2.28% of the time by chance. This result is significant at the 5% level, but is not signficant at the 1% level. We would likely reject H0. The ...
Lectures for January 18 and 20 -- review
... CI Example An insurance company is concerned about the number and magnitude of hail damage claims it received this year. A random sample 20 of the thousands of claims it received this year resulted an average claim amount of $6,500 and a standard deviation of $1,500. What is a 95% confidence interv ...
... CI Example An insurance company is concerned about the number and magnitude of hail damage claims it received this year. A random sample 20 of the thousands of claims it received this year resulted an average claim amount of $6,500 and a standard deviation of $1,500. What is a 95% confidence interv ...
Week 1: Descriptive Statistics
... After 12 weeks, the level of depression in all subjects was measured and it was found that the mean level of depression (on a 10-point scale with higher numbers indicating more depression) was 4 for the experimental group and 6 for the control group. The most basic question that can be asked here is ...
... After 12 weeks, the level of depression in all subjects was measured and it was found that the mean level of depression (on a 10-point scale with higher numbers indicating more depression) was 4 for the experimental group and 6 for the control group. The most basic question that can be asked here is ...
Chapter 15
... we have concluded that the data are too unlikely to have occurred by chance alone. Thus, there is a relationship between the independent and dependent variable. Means we have rejected the null hypothesis Ho. ...
... we have concluded that the data are too unlikely to have occurred by chance alone. Thus, there is a relationship between the independent and dependent variable. Means we have rejected the null hypothesis Ho. ...
1.017 Class 10: Common Distributions
... As rejection region grows Type I error increases and Type II error decreases (test is more likely to reject hypothesis). As rejection region shrinks Type I error decreases and Type II error increases (test is less likely to reject hypothesis) Usual practice is to select rejection region to insure th ...
... As rejection region grows Type I error increases and Type II error decreases (test is more likely to reject hypothesis). As rejection region shrinks Type I error decreases and Type II error increases (test is less likely to reject hypothesis) Usual practice is to select rejection region to insure th ...
Chapter 10: Confidence Intervals
... Significance Testing: ◦ A formal procedure for comparing observed data with a hypothesis whose truth value we want to ...
... Significance Testing: ◦ A formal procedure for comparing observed data with a hypothesis whose truth value we want to ...
8.1-8.2 Review Sheet
... 3. The proportion of college graduates who obtain a job after graduation at least 62%. ...
... 3. The proportion of college graduates who obtain a job after graduation at least 62%. ...
Hypothesis Testing
... We will begin with a null hypothesis, which states that there is no difference between the two groups being tested. A null hypothesis is often times the opposite of what is expected to happen. We use the null hypothesis so that we can allow the data to contradict it. In a randomized controlled exper ...
... We will begin with a null hypothesis, which states that there is no difference between the two groups being tested. A null hypothesis is often times the opposite of what is expected to happen. We use the null hypothesis so that we can allow the data to contradict it. In a randomized controlled exper ...
