Answer:
a. count of observations that meet a condition (counts), total number of observations (nobs), Hypothesized value of population proportion (value).
Explanation:
In other to use the proportion_ztest method, the need to make import from the statsmodel module ; statsmodels.stats.proportion.proportions_ztest ; this will allow use use the Z test for proportion and once this method is called it will require the following arguments (count, nobs, value=None, alternative='two-sided', prop_var=False)
Where;
nobs = number of observations
count = number of successes in the nobs trial or the number of successes for each independent sample.
Value = hypothesized value of the population proportion.
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!
The answer would be true.