Not exact matches
A recent report by professional services firm Deloitte Access Economics
suggests retail spending could be slowly picking up in Western Australia, with recent official
data finding sales grew 0.3 per cent in January after
seasonal adjustment.
Removing the
seasonal impact of Chinese New Year on the NBS
data for March therefore
suggests that the underlying growth of China's manufacturing sector remains weaker than the published
data suggest.
«The combined sea ice
data suggest that the
seasonal Arctic sea ice cover was strongly reduced during most of the early Holocene and there appear to have been periods of ice free summers in the central Arctic Ocean.
Data have
suggested that each nutrient exhibits
seasonal differences in intake.
... Migration appears to be limited to either the preceding or following
seasonal layer for each species,
suggesting that paleoclimatic interpretations based on
data with lower than annual resolution are not likely to be affected.
«The combined sea ice
data suggest that the
seasonal Arctic sea ice cover was strongly reduced during most of the early Holocene and there appear to have been periods of ice free summers in the central Arctic Ocean.»
Other in situ and satellite
data suggest that even though the
seasonal ice cover was formed later in the fall of 2007, the mean thickness of first year ice cover is comparable to that of the previous two seasons because of lower snow accumulation and lower air temperatures and thus, faster growth.
The wide range of studies conducted with the ISCCP datasets and the changing environment for accessing datasets over the Internet
suggested the need for the Web site to provide: 1) a larger variety of information about the project and its
data products for a much wider variety of users [e.g., people who may not use a particular ISCCP
data product but could use some ancillary information (such as the map grid definition, topography, snow and ice cover)-RSB-; 2) more information about the main
data products in several different forms (e.g., illustrations of the cloud analysis method) and more flexible access to the full documentation; 3) access to more
data summaries and diagnostic statistics to illustrate research possibilities for students, for classroom use by educators, or for users with «simple» climatology questions (e.g., annual and
seasonal means); and 4) direct access to the complete
data products (e.g., the whole monthly mean cloud dataset is now available online).
I would
suggest generating the process control
data from the requisite tables and plotting the
seasonal groups as 3 element sample sizes on an X-Bar and R chart, using 66 - 80 as a sample capable process.