Estimating with Confidence
... • Based on the sampling distribution of x-bar, the unknown population mean will lie in the interval determined by the sample mean, x-bar, 95% of the time (where 95% is a set value). • In the example to the right, only 1 out of 25 confidence intervals formed by x-bar does the interval not include the ...
... • Based on the sampling distribution of x-bar, the unknown population mean will lie in the interval determined by the sample mean, x-bar, 95% of the time (where 95% is a set value). • In the example to the right, only 1 out of 25 confidence intervals formed by x-bar does the interval not include the ...
Lecture 4
... actually accepting it. The sample size, for instance, could be too small to overcome large variability in the population. When comparing two populations, lack of significance does not imply that the two samples come from the same population. They could represent two very distinct populations with th ...
... actually accepting it. The sample size, for instance, could be too small to overcome large variability in the population. When comparing two populations, lack of significance does not imply that the two samples come from the same population. They could represent two very distinct populations with th ...
practice problems for exam 1
... vs Left-handed pitching vs Right-handed pitching A 33 for 103 28 for 81 5 for 22 B 45 for 151 12 for 32 33 for 119 Based on their overall batting averages and their batting averages against right-handed and left-handed pitchers, who would you select as the pinch hitter? What is this phenomenon calle ...
... vs Left-handed pitching vs Right-handed pitching A 33 for 103 28 for 81 5 for 22 B 45 for 151 12 for 32 33 for 119 Based on their overall batting averages and their batting averages against right-handed and left-handed pitchers, who would you select as the pinch hitter? What is this phenomenon calle ...
Document
... 4. Compute the p –value. For z = 1.56, the p–value = .0594 5. Determine whether to reject H0. Because p–value > = .05, we cannot reject H0. We cannot conclude that the proportion of households aware of the client’s product increased after the new campaign. ...
... 4. Compute the p –value. For z = 1.56, the p–value = .0594 5. Determine whether to reject H0. Because p–value > = .05, we cannot reject H0. We cannot conclude that the proportion of households aware of the client’s product increased after the new campaign. ...
Confinence Intervals
... people who eat chicken, we can use Procedure 8.2 to obtain a confidence interval. Doing so yields a 90% confidence interval of 51.2 to 59.2. We can be 90% confident that the year’s mean chicken consumption, among people who eat chicken, is somewhere between 51.2 lb and 59.2 lb. Slide 27 - 28 ...
... people who eat chicken, we can use Procedure 8.2 to obtain a confidence interval. Doing so yields a 90% confidence interval of 51.2 to 59.2. We can be 90% confident that the year’s mean chicken consumption, among people who eat chicken, is somewhere between 51.2 lb and 59.2 lb. Slide 27 - 28 ...
Chapter 7 Review
... 9. You have been hired by a consortium of local car dealers to conduct a survey about the purchases of new and used cars. If you want to estimate the percentage of car owners in your state who purchased new cars (not used), how many adults must you survey if you want 95% confidence that your sample ...
... 9. You have been hired by a consortium of local car dealers to conduct a survey about the purchases of new and used cars. If you want to estimate the percentage of car owners in your state who purchased new cars (not used), how many adults must you survey if you want 95% confidence that your sample ...
The vast majority of the statistics that you`ve done so far
... The vast majority of the statistics that you've done so far has been descriptive. With descriptive statistics, we summarize how a data set "looks" with measures of central tendency, like the mean, and measures of dispersion, like the standard deviation. But, the more powerful branch of statistics is ...
... The vast majority of the statistics that you've done so far has been descriptive. With descriptive statistics, we summarize how a data set "looks" with measures of central tendency, like the mean, and measures of dispersion, like the standard deviation. But, the more powerful branch of statistics is ...
lecture 16.5: estimating population percentage (16.5
... benefits. For example, most public opinion studies are done by calling people on the phone. And as of 2016 you have to pay for a person to dial a cell phone number. You could have computers randomly dial home phones or landlines, but you had to pay for a real person to dial the number of a cell or m ...
... benefits. For example, most public opinion studies are done by calling people on the phone. And as of 2016 you have to pay for a person to dial a cell phone number. You could have computers randomly dial home phones or landlines, but you had to pay for a real person to dial the number of a cell or m ...
German tank problem
In the statistical theory of estimation, the problem of estimating the maximum of a discrete uniform distribution from sampling without replacement is known in English as the German tank problem, due to its application in World War II to the estimation of the number of German tanks.The analyses illustrate the difference between frequentist inference and Bayesian inference.Estimating the population maximum based on a single sample yields divergent results, while the estimation based on multiple samples is an instructive practical estimation question whose answer is simple but not obvious.