Answer:
has infinite solution
Step-by-step explanation:
(x,y)=(1-2a,a) where a is an element of any real number
Answer:
3/4
Step-by-step explanation:
Δy = y1 - y2 = 1 - (-2) = 3
Δx = x1 - x2 = -3 - (-7) = 4
Slope = Δy/Δx = 3/4
Answer:
36x
Step-by-step explanation:
PEMDAS RULE
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:
