Statistical Reasoning
... A study conducted by the Garbage Project at the University of Arizona involved a sample of 62 households; the households ranged in size from 2 to 11 members. The mean for the sample was 27.4 pounds of garbage per household per week and the standard deviation was 12.5 pounds. What is the population a ...
... A study conducted by the Garbage Project at the University of Arizona involved a sample of 62 households; the households ranged in size from 2 to 11 members. The mean for the sample was 27.4 pounds of garbage per household per week and the standard deviation was 12.5 pounds. What is the population a ...
Proportions and t- Student Tests with SPSS
... - P-value: When interpreting the p-value for a test, if the value is less than 0.05 then the test is significant at the 5% level, and we would usually say there is evidence to reject the null hypothesis. If the p-value is less than 0.1 but greater than 0.05 then there is weak evidence in favour of t ...
... - P-value: When interpreting the p-value for a test, if the value is less than 0.05 then the test is significant at the 5% level, and we would usually say there is evidence to reject the null hypothesis. If the p-value is less than 0.1 but greater than 0.05 then there is weak evidence in favour of t ...
Techniques of Data Analysis
... Q6: You are asked by a property marketing manager to ascertain whether or not distance to work and distance to the city are “equally” important factors influencing people’s choice of house location. You are given the following data for the purpose of testing: Explore the data as follows: • Create hi ...
... Q6: You are asked by a property marketing manager to ascertain whether or not distance to work and distance to the city are “equally” important factors influencing people’s choice of house location. You are given the following data for the purpose of testing: Explore the data as follows: • Create hi ...
Excel Basics
... Excel, unfortunately, can only derive (1), as though the true variance were known. However, because the true variance is not known, we must give Excel the sample variance: Excel will then erroneously use (1), instead of (2). The Excel formula is =confidence(, , n) Suppose, for example, we want a 9 ...
... Excel, unfortunately, can only derive (1), as though the true variance were known. However, because the true variance is not known, we must give Excel the sample variance: Excel will then erroneously use (1), instead of (2). The Excel formula is =confidence(, , n) Suppose, for example, we want a 9 ...
Parametric Statistics
... Comparison Test: Comparing the sample to the true value Method #1. • If the difference between the measured value and the true value (μ) is greater than the uncertainty in the measurement, then there is a significant difference between the two values at that confidence level. Method #2. • experimen ...
... Comparison Test: Comparing the sample to the true value Method #1. • If the difference between the measured value and the true value (μ) is greater than the uncertainty in the measurement, then there is a significant difference between the two values at that confidence level. Method #2. • experimen ...
