Suppose that you have the following definitions:struct time Type struct tourTypen the variable destination of type your type are tourType input(){cout<<"Enter the city, distance and time in hr and min"<>destination.city name;
<h3>What is C++ statements?</h3>
Expression statements. These statements examine an expression for its aspect outcomes or for its go-back value. Null statements. These statements may be supplied in which a declaration is needed with the aid of using the C++ syntax however in which no motion is to be taken.
- #include
- #include
- the use of namespace std;
- struct timeType
- ;
- struct tourType
- ;
- tourType destination;
- tourType input(){
- cout<<"Enter the city, distance and time in hr and min"<>destination.cityName;
- cin>>destination.distance;
- cin>>destination.travelTime.hr;
- cin>>destination.travelTime.min;
- go back destination;
- }
- void display()cityName;
- d.distance = t->distance;
- d.travelTime.hr = t->travelTime.hr;
- d.travelTime.min = t->travelTime.min;">
- int main().
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Answer:
a simple IF statement using Regex
Explanation:
In any coding language, a good control procedure for this would be a simple IF statement using Regex. In the IF statement you can grab the account code and compare it to a regular expression that represents the correct format. IF the account code is in the correct format (matches the regular expression), then you go ahead and save the account code for use. Otherwise, you would output an error and ask for another account code. This will prevent the program from trying to use an account code that is not valid.
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 tool is literally called <u><em>The Finder.</em></u>
Explanation:
hope this helps
