FOOTNOTES | ||||||||||||||||||||||||
1. Board includes all respondents who identified themselves as past or present HOA directors/officers. | ||||||||||||||||||||||||
2. C.A.M. is an acronym for Community Association Manager; that is, the head of a firm providing a HOA with administrative services. | ||||||||||||||||||||||||
3. Other includes two tenants and six respondents giving unintelligible answers to this question. | ||||||||||||||||||||||||
4. N.A. stands for No Answer. | ||||||||||||||||||||||||
5. Gender was deduced from respondents' first names. If a respondent either did not provide a first name or only supplied an initial, his/her gender could not be ascertained and so was classified as D.K. or Don't Know. | ||||||||||||||||||||||||
6. D.K. stands for Don't Know or Unknowable. | ||||||||||||||||||||||||
7. CCFJ members were identified from an official membership list at the time the survey ended. | ||||||||||||||||||||||||
8. Regions include the following counties: | ||||||||||||||||||||||||
North: Alachua, Bay, Bradford, Calhoon, Columbus, Dixie, Escambia, Franklin, Gadsden, Gilchrest, Gulf, Hamilton, Holmes, Jackson, Jefferson, Leon, Levy, Liberty, Okaloosa, Putnam, Santa Rosa, Swanee, Taylor, Unio Wakula, Walton, and Washington |
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Central: Citrus, Hardee, Highland, Lake, Marion, Orange, Osceola, Polk, Seminole, and Sumter | ||||||||||||||||||||||||
West Coast: Charlotte, Collier, DeSoto, Glades, Henry, Hernando, Hillsborough, Lee, Manatee, Monroe, Pasco, Pinellas, and Sarasota | ||||||||||||||||||||||||
East Coast: Baker, Brevard, Clay, Duval, Flagler, Indian River, Martin, Nassau, Okeechobee, St. Johns, St. Lucie, and Volusia | ||||||||||||||||||||||||
South: Broward, Miami-Dade, and Palm Beach | ||||||||||||||||||||||||
9. Adjusted means excluding No Response. | ||||||||||||||||||||||||
10. Percentages may not add up to exactly 100.0% owing to independent rounding. | ||||||||||||||||||||||||
11. A t-test measures how far a given value in a sample departs from the average in multiples of the standard deviation for that sample. That enables the analyst to look up the probability of value being equal to or different | ||||||||||||||||||||||||
from the average. Approximately 95.45% of all values in a sample fall within + two standard deviations around the mean. In other words, there's only a 4.55% chance that such a value actually equals the average; those | ||||||||||||||||||||||||
odds essentially are 1 chance out of 20. At +3 standard deviations the odds drop to 1 chance out of 333 or 27 chances out of 10,000. At 4 standard deviations the odds are only 6 chances out of 100,000. | ||||||||||||||||||||||||
12. A standard deviation is a statistical measure of spread of data from a sample around an average value of that data. Approximately 99.73& of the data will fall within + 3 standard deviations around an average. | ||||||||||||||||||||||||
Hence, there are just 27 chances out of 10,000 or roughly 1 out of 333 that a value drawn from a sample and falling three standard deviations above or below a mean actually is equal to the mean. Most commercial | ||||||||||||||||||||||||
analyses use a weaker standard of only 1 chance in 100 of being wrong. | ||||||||||||||||||||||||
13. The Chi-squared test indicates whether or not there's a relationship between two sets of data. Those data sets form a cross-tabulated table. | The calculated Chi-square value ranges from zero (0.0000) to one (1.0000). | |||||||||||||||||||||||
The closer the calculated Chi-square value comes to zero [0.0000] the more likely that a relationship exists between the two sets of dat | Naturally the actual Chi-square value must be compared to a standard | |||||||||||||||||||||||
to establish the presence or absence of a relationship. That standard is 0.01 or 1 chance out of 100 of being wr | Alternatively, those odds are 99 to 1 that a relationship is present. Conversely, any | |||||||||||||||||||||||
calculated value greater than 0.01 signals the absence of a relationship which means that the two data sets are independent. The presence of a relationship implies, but does not assure, that one data set causes | ||||||||||||||||||||||||
or explains a significant amount of the changes in the other data set. A Chi-squared test applies to raw numbers rather than percentages. At least five [5] responses must appear in each cell of the cross-tabulated | ||||||||||||||||||||||||
table for the test to be valid. However, combining one or more adjacent rows or columns of data in a cross-tabulated table can compensate for having less than five [5] responses in the original table providing that the | ||||||||||||||||||||||||
new table has at least two rows and two columns and a value of at least five [5] in each of its cells. | ||||||||||||||||||||||||
14. Eight Calculated Chi-squared values ending in *10^## are so tiny that scientific notation was used to express them. Those numbers appear on Tables 1, 2, 7, 9, 10, 14 and Summary Table 2. The one- or two-digit values | ||||||||||||||||||||||||
represented there by the number symbol(s) reveals how many zeros lie between the decimal point and the first non-zero digit after the decimal place. Those eight Calculated Chi-squared values have six or more zeros | ||||||||||||||||||||||||
between the decimal place and the first digit shown. For example, *10^-6 means that there are six zeros between the decimal place and the first digit shown so that the actual number is 0.0000005193 on | ||||||||||||||||||||||||
Table 7. The 0.5193*10^-6 is five times smaller than the standard of 0.01. | ||||||||||||||||||||||||
© 2008 Cyber Citizens for Justice, Inc. Deland, FL |