Answer:
myArray = [9, 11, 70, 25, 20, 0, 36, 24]
myvalue = 20
def binary_search(mylist, value):
sorted(mylist)
mid = mylist[round(len(mylist) / 2)]
if value == mid:
return mylist.index(mid)
elif value < mid:
for index, s_one in enumerate(mylist[ : (mylist.index(mid))]):
if s_one == value:
return index
elif value < mid:
for index, s_two in enumerate(mylist[(mylist.index(mid)) : ]):
if s_two == value:
return index
else:
return "searched value not in list/array"
result = binary_search( myArray, myvalue)
print(f"Index of the searched value {myvalue} is: {result}")
Explanation:
The programming language used above is python. It is used to implement a binary search in a list and finally returns the index of the searched value.
Answer:
Validity is the degree to which the research measures what it has to measure. High validity = Proper Research Design.
Reliability is the measure to which research measurement techniques are free of error or mistakes. High realiability = Reasearchers know the sample fully understands the question asked.
Representativeness is the extent to which consumers in a study are similar to the larger group of interest. High representativeness = Sample is large and chosen in an unbiased way.
Metals are the greatest conductors of electricity. metalloids are fair conductors because they have features of both nonmetals and metals. Nonmetals are poor conductors.
Answer:
The correct option is a.
A business that collects personal information about consumers and sells that information to other organizations.
Explanation:
Data brokers, also known as data suppliers, data fetchers, information brokers, or even data providers are businesses or companies (even individuals) that, on the most basic level, source and aggregate data and information (mostly information that are meant to be confidential or that are in the real sense difficult to get) and then resell them to third parties. These third parties could be other data brokers.
They collect data and information from a wide range of resources and sources - offline and/or online e.g web access history, bank details, credit card information, official records (such as birth and marriage certificates, driver's licenses).
Brokers can steal round about any information. Examples of information that brokers legally or illegally steal are full name, residential address, marital status, age, gender, national identification number, bank verification number. Brokers and hackers are siblings.
A couple types of data brokers are:
1. Those for fraud detection
2. Those for risk mitigation
Hope this helps!