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The seasonally adjusted annual rate (SAAR) is a rate that is adjusted to take into account typical seasonal fluctuations in data and is expressed as an annual total. SAARs are used for data affected by seasonality , when it could be misleading to directly compare different times of the year.
Seasonal adjustment or deseasonalization is a statistical method for removing the seasonal component of a time series. It is usually done when wanting to analyse the trend, and cyclical deviations from trend, of a time series independently of the seasonal components.
A multiple-vortex tornado outside of Dallas, Texas on April 2, 1957. Since Dallas lies at the lower end of the "Tornado Alley", tornadoes have on occasion been a threat to the city. Most tornadoes hit the city during the months of April and May. [15] Dallas was hit by a powerful tornado on April 2, 1957; the tornado was later rated F3. [16]
The Dallas Fed expects job growth statewide to dip to about 2% in the last few months of the year, close to Texas’s trend-level growth of 2.1%, said Roberto Coronado, Dallas Fed senior vice ...
The GG pay rates are identical to published GS pay rates. The remaining 29 percent were paid under other systems such as the Federal Wage System (WG, for federal blue-collar civilian employees), the Senior Executive Service and the Executive Schedule for high-ranking federal employees, and other unique pay schedules used by some agencies such ...
State government’s job vacancy rate before the coronavirus pandemic was 12.3%, State Budget Director Kristin Walker said. ... Cooper is calling for 8% across-the-board pay increases for state ...
Dallas also is the seat of the Fifth Court of Appeals of Texas. The United States Post Office operates several post offices in Dallas. The main Dallas Post Office is at 401 Dallas-Fort Worth Turnpike (Interstate 30, also known as the Tom Landry Freeway). [20] The Federal Bureau of Prisons has its South Central Regional Office in Dallas. [21]
In time series data, seasonality refers to the trends that occur at specific regular intervals less than a year, such as weekly, monthly, or quarterly. Seasonality may be caused by various factors, such as weather, vacation, and holidays [1] and consists of periodic, repetitive, and generally regular and predictable patterns in the levels [2] of a time series.