2024-04-29 Barbados Dollar News
2024-04-28
Summary of Last Week
- Opening:
- Closing:
- Difference of Opening & Closing:
- Daily High:
- Daily Low:
- Difference of Daily High & Low:
Statistical Measures
- Mean:
- Standard Deviation:
Trend
1. Understanding the overall trend of the exchange rates
Upon initial inspection, it's clear that the given exchange rates fluctuate to some degree. However, a discernible trend also seems present. While there are both peaks and valleys in this dataset, the overall trend of the exchange rates is somewhat difficult to gauge due precisely to these fluctuations. Without a visual rendering or higher order calculations it is not immediately clear whether the rates generally increase, decrease, or remain stable over the given period.
2. Identifying any seasonality or recurring patterns
When observing the fluctuations throughout the data, there doesn't appear to be a consistent pattern that could be described as seasonality. The numbers don't reveal a clear cyclical behavior, in which the rates would exhibit regular and predictable changes that recur every calendar year. If present, such a pattern might provide us with a way to predict future rates. However, further statistical tests would be required to conclusively determine whether there is any true seasonality in this data or not.
3. Noting any outliers
Regarding outliers, pinpointing exceptionally high or low exchange rates would require calculating the mean and standard deviation, and consequently establishing a predetermined range considered to be 'normal'. Observationally, there are no dramatic rises or drops that stand out; the rates seem to mostly stay within relatively close range of each other. Keep in mind, statistically determining outliers would call for additional advanced statistical techniques.
In conclusion, given this basic analysis, the exchange rates in question are characterized by a level of fluctuation and do not obviously lean towards a clear increasing or decreasing trend. They don't display visible seasonality, and determining possible outliers would necessitate a deeper statistical analysis.