Time series patterns that repeat themselves after a period of days or weeks are called Seasonality
A time series is a collection of observations of well-defined data items obtained through repeated measurements over time.
Seasonality is the presence of variations that occur at specific regular intervals less than a year, such as weekly, monthly, or quarterly
The term cycle refers to the recurrent variations in time series that in generally last longer than a year and it can be as many as 15 or 20 years.
Here, the time series patterns that repeat themselves after a period of days or weeks.
So that is called seasonality
Hence, time series patterns that repeat themselves after a period of days or weeks is called seasonality
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We need specifics about the data
Answer:
Total earning of Clarissa for the november month is $3840 .
Step-by-step explanation:
As given
Clarissa works in sales for a software company.
Her pay each month varies, because each month she receives a base pay of $2,400.00 plus 8% commission on her sales.
During the month of November, Clarissa had $18,000.00 in sales.
8% is written in the decimal form
= 0.08
Commission price = 0.08 × sales in november month .
= 0.08 × 18000
= $ 1440
Total earning in november month = Base price + Commission price
= $2400 + $ 1440
= $ 3840
Therefore the total earning of Clarissa for the november month is $3840 .
