Charita Pearson
... Inferential statistics – using information from a sample to reach conclusions about the population from which it was drawn. Sampling distribution of the mean – the probability distribution of the sample means for all possible samples of that particular size. Standard error of the mean – the standard ...
... Inferential statistics – using information from a sample to reach conclusions about the population from which it was drawn. Sampling distribution of the mean – the probability distribution of the sample means for all possible samples of that particular size. Standard error of the mean – the standard ...
Review of Basic Statistics
... •To compute the mean, activate an empty cell and enter the following in the formula bar: =Average(b2:b13) and click the green checkmark. •To compute the median, activate an empty cell and enter the following in the formula bar: = Median(b2:b13) and click the green checkmark. •To compute the mode, ac ...
... •To compute the mean, activate an empty cell and enter the following in the formula bar: =Average(b2:b13) and click the green checkmark. •To compute the median, activate an empty cell and enter the following in the formula bar: = Median(b2:b13) and click the green checkmark. •To compute the mode, ac ...
Lab #6 - University of Calgary contacts directory
... 4. Type the column in which the data is in, in the input variable box (or click on the input variable box and then double click on the column where the data is located. 5. Hit enter or click on OK Note: You should familiarize yourself with some of the other functions of MINITAB. Check them out. You ...
... 4. Type the column in which the data is in, in the input variable box (or click on the input variable box and then double click on the column where the data is located. 5. Hit enter or click on OK Note: You should familiarize yourself with some of the other functions of MINITAB. Check them out. You ...
Basic Probability Reference Sheet
... of the mean of X. If you combine this with the central limit theorem, this forms the entire basis of hypothesis testing and confidence interval estimation in regression analysis. So far we have talked about the true mean and true variance. In real life, we don’t know the true values. All we see is t ...
... of the mean of X. If you combine this with the central limit theorem, this forms the entire basis of hypothesis testing and confidence interval estimation in regression analysis. So far we have talked about the true mean and true variance. In real life, we don’t know the true values. All we see is t ...
Test 7D (Cumulative) AP Statistics Name:
... c The sampling distribution takes into account only the variability arising from random sampling. Error arising from methods of data collection must be addressed separately. d We can only apply this formula for estimating the standard deviation of the sampling distribution of means if the 10% condit ...
... c The sampling distribution takes into account only the variability arising from random sampling. Error arising from methods of data collection must be addressed separately. d We can only apply this formula for estimating the standard deviation of the sampling distribution of means if the 10% condit ...
6. Measures of central tendency and variation.
... Outliers are observations above Q3 + 1.5IQR or below Q1 − 1.5IQR. Also, serious outliers are observations above Q3 + 3IQR or below Q1 − 3IQR. In our example we do not have any outliers since Q3 + 1.5IQR = 60 + 1.5(32) = 108 and Q1 − 1.5IQR = 28 − 1.5(32) = −20. Now we can construct the box plot. ...
... Outliers are observations above Q3 + 1.5IQR or below Q1 − 1.5IQR. Also, serious outliers are observations above Q3 + 3IQR or below Q1 − 3IQR. In our example we do not have any outliers since Q3 + 1.5IQR = 60 + 1.5(32) = 108 and Q1 − 1.5IQR = 28 − 1.5(32) = −20. Now we can construct the box plot. ...
