Bazsites.com Phone Rate Comparisons

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Colorado Office of Consumer Counsel - Offers Colorado consumers a detailed rate comparison chart.
Alpha Net - Provides comparison of Israel's international phone company rates in both online and downloadable form.
uSwitch - United Kingdom home phone rate comparisons.
Phonechoice - Australian long distance rate comparison database.
Maine Public Advocate Office - Offers Maine consumers an official ratewatcher telecom guide with detailed comparisons of long distance rates and fees.
ConsumerSearch, Inc. - Offers comparison of several long distance plans in the United States.
TeleBright - Offers comparisons of telecom services in the United States.
ABTolls - Compares long distance phone rates in and from the United States.
Sayers Entrepreneurial Enterprises - Comparisons of all major 10-10 and 10-x dial around plans.
Great Long Distance Rates - Information and rates for long distance telephone service.

Experimentwise error rate - In statistics, during multiple comparisons testing, experimentwise error rate (also known as familywise error rate) is the probability of at least one false rejection of the null hypothesis. The α (alpha) that is assigned applies to all of the hypothesis tests as a whole, not individually as in the comparisonwise error rate.
Full Rate - Full Rate or FR or GSM-FR was the first digital speech coding standard used in GSM digital mobile phone system. The bit rate of the codec is 13 kbit/s.
Comparisonwise error rate - In statistics, during multiple comparisons testing, comparisonwise error rate (also known as pairwise error rate) is the probability of falsely rejecting the null hypothesis for one test, i.e.
Communications in Haiti - Despite low literacy levels (52%) and wide-ranging poverty, Haiti managed to increase its cell phone coverage rate from 6% to 30% in just one year (May 2006 to May 2007). Haiti is now the driving force in the cell phone growth rate in the Caribbean.
False discovery rate - False discovery rate (FDR) control is a statistical method used in multiple hypothesis testing to correct for multiple comparisons. It controls the expected proportion of incorrectly rejected null hypotheses (type I errors) in a list of rejected hypotheses.