Gaps refer to missing areas in a data set. For example, if a scientific experiment collects temperature data in the range of 50 degrees Fahrenheit to 100 degrees Fahrenheit, but nothing between 70 and 80 degrees, that would represent a gap in the data set.
Gaps refer to areas of a graphic display where there are no observations. There are no observations in the middle of the distribution. …
Devote instructional time daily to filling gaps. Expose students to mathematics problems that include tasks from prior years and units. You can do this through “do now” or warm-up exercises, additions to homework assignments, or even test problems.
A gap is an empty space within a price chart between the two neighboring candlesticks. Gaps occur when the following candlestick opens at a distance from the previous candlestick closing price. This may happen if the market’s view of the price rapidly changes and there’s a sudden influx of buy/sell orders.
: to add what is need to something to make it complete He’s trying to fill the gaps in his CD collection.
Data gap analysis is the process of analyzing existing data to determine where an organization is not producing or evaluating data that would be beneficial for its operation. Essentially, there is a gap in the organization’s data.
1 : an opening made by a break or rupture She squeezed through a gap in the fence. 2 : an opening between mountains. 3 : a hole or space where something is missing There are some gaps in his story.
A learning gap can be relatively minor—the failure to acquire a specific skill or meet a particular learning standard, for example—or it can be significant and educationally consequential, as in the case of students who have missed large amounts of schooling (for a more detailed discussion, see learning loss).
By definition, learning gaps are the difference between what a student is expected to have learned by a certain grade level versus what they have actually learned up to that point.
A histogram can have gaps between the bars, whereas bar charts cannot have gaps.
Conclusion: So what’s that mean: when a stock price gap is observed, by a chance of 91.4% it will get filled in the future. In layman’s word, 9 in 10 gaps get filled; not always, but pretty close.
To bridge the gap is to connect two otherwise unrelated things by adding something or by finding common ground.
Cluster sampling is used when natural groups are present in a population. The whole population is subdivided into clusters, or groups, and random samples are then collected from each group.
Clustering is the task of dividing the population or data points into a number of groups such that data points in the same groups are more similar to other data points in the same group than those in other groups. In simple words, the aim is to segregate groups with similar traits and assign them into clusters.
Gaps may be defined as the difference between “the way things are” and “the way they should be”. The easiest gaps to identify are those relating to knowledge. Knowledge gaps can be identified by means of questionnaires or review of test scores from in training or board examinations.
We define data gaps as data for particular elements or social groups that are knowingly or unknowingly missing when policy is made on the basis of large datasets. … A data gap may occur either when a part of the necessary data for policymaking is absent or when it is present but underused/of low quality.