Answer:
Tell her about cyber bullies
Tell her about hackers
stalkers
identity theft
spam
Sorry if wrong
Explanation:
In the mother board of the back door next to the restroom 5 steps left
Answer:
The answer to this question is given below in the explanation section.
Explanation:
The correct answer to this question is d- 346px.
The complete code of this example is given below:
<div>
style="margin:20px; border:solid 3px #888888;">
</div>
while the image width is 300px.
It is noted that the image width is 300px and the margin is 20 px.
Margin:20px means that image margin from four side is 20 px each.
So the width of dive from both side increase to 40 px and the image has 300 px, then total width becomes 340px. Now the border also has 3px of four sides of the image, then the width of the border becomes 6px.
so the total width of the div tag is 346 px.
In short, we can calculate the width of tag as below:
total width of div= width of image+ width of margin+ width of border
total width of dive= 300px+40px+6px
total width of div=346px.
Hey there!
A prepaid tuition plan is a plan that allows you to pay the current rate of tuition now (say, years in advance), even if it's much higher than the time when the payment for tuition would actually be paid. This plan is great for anyone who wants to pay a lower price for high–cost education now (even if their kid isn't college age yet) and not have to worry about economic standing or inflation in the future that could drive the tuition prices up.
The plan only covers tuition and other similar fees. You can not purchase books or room and board with it in advance. So, your answer should be: C. Tuition and Fees.
Hope this helped you out! :-)
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.