Answer:
The population proportion is estimated to be with 99% confidence within the interval (0.1238, 0.2012).
Step-by-step explanation:
The formula for estimating the population proportion by a confidence interval is given by:

Where:
is the sample's proportion of success, which in this case is the people that regularly lie during surveys,
is the critical value needed to find the tails of distribution related to the confidence level,
is the sample's size.
<u>First</u> we compute the
value:

<u>Next</u> we find the z-score at any z-distribution table or app (in this case i've used StatKey):

Now we can replace in the formula with the obtained values to compute the confidence interval:

Answer:
it is
Step-by-step explanation:
because it addition it doesn't matter which way you put it
Answer:
30
Step-by-step explanation:
20+2(3*7 - 4*4)
20+2(21-16)
20+2*5
20+10
30
Answer:
Step-by-step explanation:
They are all true
If you have an angle and want to know its complement, you subtract it from 90 degrees. What angle, when subtracted from 90 degrees, gives the same value?
90 - x = x
The supplement of x is the angle that you add to x to make 180 degrees. In other words, 180 - x = the supplement of x.