Statistical Analysis – The First Steps
... standard deviation may also be calculated. Continuous Variables Continuous variables are those for which the values can take on an infinite number of values in a given range. While we may not be able to actually measure the variable as precisely as we would wish, the potential number of values is in ...
... standard deviation may also be calculated. Continuous Variables Continuous variables are those for which the values can take on an infinite number of values in a given range. While we may not be able to actually measure the variable as precisely as we would wish, the potential number of values is in ...
Numerical Summary Measures of Variability for Data
... Ex. Use the 1.5xIQR rule to check if there is any outlier in the Rainfall dataset. Q1 = 3.45, Q3 = 5.4, IQR = 5.4 – 3.45 = 2.925. Q1 – 2.925 = 3.45 – 2.925 = 0.525 (no data point smaller than 0.525) Q3 + 2.925 = 5.4 + 2.925 = 8.325 (no data point larger than 8.325) ...
... Ex. Use the 1.5xIQR rule to check if there is any outlier in the Rainfall dataset. Q1 = 3.45, Q3 = 5.4, IQR = 5.4 – 3.45 = 2.925. Q1 – 2.925 = 3.45 – 2.925 = 0.525 (no data point smaller than 0.525) Q3 + 2.925 = 5.4 + 2.925 = 8.325 (no data point larger than 8.325) ...
Detecting Outliers
... variables adjacent to each other in the data editor so that we can compare the values for each case. We will compare the values for each case to the mean and standard deviation for each variable, computed in the descriptive statistics section of the ...
... variables adjacent to each other in the data editor so that we can compare the values for each case. We will compare the values for each case to the mean and standard deviation for each variable, computed in the descriptive statistics section of the ...
Chapter Nine
... MINITAB: Select the following Stat, Basic Statistics, and 1-Sample Z to generate a pop-up menu. In the pop-up menu, click beside the words Summarized data as long as you do indeed have summary data , beside the words Sample size enter your n, beside the word Mean enter your x , beside the word stand ...
... MINITAB: Select the following Stat, Basic Statistics, and 1-Sample Z to generate a pop-up menu. In the pop-up menu, click beside the words Summarized data as long as you do indeed have summary data , beside the words Sample size enter your n, beside the word Mean enter your x , beside the word stand ...
Spract5
... Our decision rule will be to reject the null hypothesis if the absolute value of the test statistic is greater than 1.96. We are told that the computed value of the test statistic z0 is +2.21, so we decide to reject the null hypothesis. The 0.05 level of significance means we are prepared to take a ...
... Our decision rule will be to reject the null hypothesis if the absolute value of the test statistic is greater than 1.96. We are told that the computed value of the test statistic z0 is +2.21, so we decide to reject the null hypothesis. The 0.05 level of significance means we are prepared to take a ...
Lecture 2
... The Different Types of Data The Use of Graphs to Describe Data The Numerical Methods of Summarizing Data Agresti/Franklin Statistics, 1 of 63 ...
... The Different Types of Data The Use of Graphs to Describe Data The Numerical Methods of Summarizing Data Agresti/Franklin Statistics, 1 of 63 ...
Why Statistics
... 2. The variability (range, variance, and standard deviation) 3. Most (color) fell in the 90th percentile, while (and so forth) 4. * provide charts as necessary Description of Sample 1. Within the present sample (do the same as above except for using the sample’s statistics) 2. * Provide charts as ne ...
... 2. The variability (range, variance, and standard deviation) 3. Most (color) fell in the 90th percentile, while (and so forth) 4. * provide charts as necessary Description of Sample 1. Within the present sample (do the same as above except for using the sample’s statistics) 2. * Provide charts as ne ...
Unit 31: One
... A vase filled with coins takes center stage as the video begins. Students will be taking part in an experiment organized by psychology professor John Kelly in which they will guess the amount of money in the vase. As a subterfuge for the real purpose of the experiment, students are told that they ar ...
... A vase filled with coins takes center stage as the video begins. Students will be taking part in an experiment organized by psychology professor John Kelly in which they will guess the amount of money in the vase. As a subterfuge for the real purpose of the experiment, students are told that they ar ...
Linear regression
... • Standard error is stanard deviation, it allows us to calculate z-scores and therefore area (probability) under the curve for certain region, • Any point estimator is an estimation and will contain error, • This error can be minimized by selecting large sample from the population from which to est ...
... • Standard error is stanard deviation, it allows us to calculate z-scores and therefore area (probability) under the curve for certain region, • Any point estimator is an estimation and will contain error, • This error can be minimized by selecting large sample from the population from which to est ...
Confidence Intervals Point and Interval Estimates Point Estimates
... objective basis Provides an estimate of the sampling error ...
... objective basis Provides an estimate of the sampling error ...
Data reporting and visualization in ecology
... use the SD or SE with approximately equal frequency in research papers, according to Krzywinski and Altman (2013). If interest is in the mean of a variable, possibly for comparing with means computed for other groups of samples, then one wishes to know the variability in the mean that is reasonably ...
... use the SD or SE with approximately equal frequency in research papers, according to Krzywinski and Altman (2013). If interest is in the mean of a variable, possibly for comparing with means computed for other groups of samples, then one wishes to know the variability in the mean that is reasonably ...
to access the statistics glossary and define
... A histogram is a way of summarising data that are measured on an interval scale (either discrete or continuous). It is often used in exploratory data analysis to illustrate the major features of the distribution of the data in a convenient form. It divides up the range of possible values in a data s ...
... A histogram is a way of summarising data that are measured on an interval scale (either discrete or continuous). It is often used in exploratory data analysis to illustrate the major features of the distribution of the data in a convenient form. It divides up the range of possible values in a data s ...
Dispersion Graphs
... Although the dispersion graph does not provide a statistical record of the spread of data, it is an excellent visual guide. It is particularly useful when comparisons need to be made between samples. The scatter of values is plotted for each sample, using the same scale, and the medians and upper an ...
... Although the dispersion graph does not provide a statistical record of the spread of data, it is an excellent visual guide. It is particularly useful when comparisons need to be made between samples. The scatter of values is plotted for each sample, using the same scale, and the medians and upper an ...
Study Guides for MGF1106 (Math for Liberal Arts 1) Courtesy
... Common errors made in drawing conclusions or determining the validity of an argument are: 1. Arguing the converse (assuming in a conditional that if q happens, p must happen). 2. Arguing the inverse (assuming in a conditional that if p didn’t happen, q can’t happen). 3. Using the exclusive “or” (ass ...
... Common errors made in drawing conclusions or determining the validity of an argument are: 1. Arguing the converse (assuming in a conditional that if q happens, p must happen). 2. Arguing the inverse (assuming in a conditional that if p didn’t happen, q can’t happen). 3. Using the exclusive “or” (ass ...