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.
B.) The rumble of thunder.
I hope this helps. :p
The answer should be C, you need a text editor to write out the code, and then a web browser to view what the code creates.
Answer:
Option A: print("The total is %0.5f" % total)
Explanation:
To ensure the value is rounded to a precision of 5 digits, we have to create a formatted string which is %0.5f. The <em>.5</em> denotes five decimal places and <em>f </em>refers to float data type.
Next, we use the <em>%</em> operator again and followed with the variable <em>total</em>. The % is used as a string modulo operator that will interpolate the value held by the the variable <em>total </em>in the formatted string that we create previously. The interpolated value will be rounded to 5 decimal places. For example, if
total = 256.786789
The output will be 256.78679
