Data and Information Quiz

What is the difference between data and information?

• Information is random facts, and data is processed.

• Data is raw facts, and information is processed data.

• Data is only numerical, while information is text.

• Data and information are the same.

Why is it important to organise data into information?

• To make it understandable and meaningful.

• To increase the size of datasets.

• To reduce the time spent on data collection.

• To create graphs automatically.

What role does context play in transforming data into meaningful information?

• Context gives data meaning and relevance.

• Context ensures data is numerical.

• Context removes unnecessary details.

• Context formats data into tables.

What are the main reasons data needs to be searched and sorted?

• To convert it into graphs.

• To identify duplicates in the dataset.

• To make it easier to locate, analyse, and use.

• To delete unnecessary information.

What is a linear search?

• A search that checks each element sequentially.

• A search that divides the dataset into halves.

• A search performed only on sorted data.

• A search that uses multiple criteria at once.

How does a linear search perform the search through a list?

• By skipping every other element.

• By checking the middle element first.

• By using an algorithm to predict the position.

• By checking each element in order.

Why might you use a linear search instead of other methods?

• When the dataset is sorted.

• When you need the fastest method available.

• When the data is stored in a tree structure.

• When the dataset is unsorted or small.

What is a binary search?

• A method that checks every element sequentially.

• A method that divides the dataset into halves.

• A method that works only with unsorted data.

• A search that skips every second element.

Why does binary search require a sorted list?

• To reduce memory usage.

• To ensure the algorithm works correctly.

• To remove duplicate data.

• To make it compatible with all algorithms.

How does binary search improve efficiency compared to linear search?

• By eliminating half the remaining elements in each step.

• By checking every element faster.

• By only working with unsorted data.

• By using more memory to store intermediate results.