Answer:
Kerri
calculate z scores z= (x - xbar)/stdev
Kerri = 1.7
Cade = .7
Vincent = 1
Step-by-step explanation:
BD = 2x-4
But it's also BE - CE + CD
BE is 3x-1
CE is 2x-3
CD is 2
so
BD = 3x-1 -(2x-3) +2
simplified
BD = 1x +4
since BD = BD (obviously), we can also say that the righthand sides of the two equation must be equal
2x -4 = 1x +4
let's solve for x and that put it into either of the 2 equations.
2x -4 = 1x +4
subtract 1x on both sides
x -4 = 4
add 4 on both sides
x = 8
substitute x for its value in 2x -4 = 1x +4
(this way we double check BD in two expressions at once. the equation should come out true, meaning same value for BD in each expression. both sides should be equal).
2*8 -4 = 1*8 +4
12 = 12
seems true
BD is safely 12
Just do like this
.836
.83
.83=.830
which one has bigger numbers?
.836 or
.830
the answer is .836
Answer:
20 is a tenth of 200
Step-by-step explanation:
Answer:
All but last statement are correct.
Step-by-step explanation:
- <em>If we were to use a 90% confidence level, the confidence interval from the same data would produce an interval wider than the 95% confidence interval.</em>
True. Confidence interval gets wider as the confidence level decreases.
- <em>The sample proportion must lie in the 95% confidence interval. </em>
True. Confidence interval is constructed around sample mean.
- <em>There is a 95% chance that the 95% confidence interval actually contains the population proportion.</em>
True. Constructing 95%. confidence interval for a population proportion using a sample proportion from a random sample means the same as the above statement.
- <em>We don't know if the 95% confidence interval actually does or doesn't contain the population proportion</em>
True. There is 95% chance that confidence interval contains population proportion and 5% chance that it does not.
- <em>The population proportion must lie in the 95% confidence interval</em>
False. There is 95% chance that population proportion lies in the confidence interval.
