Experiental probability is the correct choice because you will have actual data from an experiment that you are using to create the ratio of outcomes to attempts. This is the scientific and mathematical name for a tested ratio. Theoretical probability, on the other hand, is what you would expect to happen if you were to perform the test.
Answer:
y = 5x - 7
slope = 5
Step-by-step explanation:
35x - 7y = 49
Subtract 35x from both sides.
-7y = -35x + 49
Divide both sides by -7.
y = 5x - 7
The equation is now in the slope-intercept form, y = mx + b, where m is the slope.
slope = m = 5
For large sample confidence intervals about the mean you have:
xBar ± z * sx / sqrt(n)
where xBar is the sample mean z is the zscore for having α% of the data in the tails, i.e., P( |Z| > z) = α sx is the sample standard deviation n is the sample size
We need only to concern ourselves with the error term of the CI, In order to find the sample size needed for a confidence interval of a given size.
z * sx / sqrt(n) = width.
so the z-score for the confidence interval of .98 is the value of z such that 0.01 is in each tail of the distribution. z = 2.326348
The equation we need to solve is:
z * sx / sqrt(n) = width
n = (z * sx / width) ^ 2.
n = ( 2.326348 * 6 / 3 ) ^ 2
n = 21.64758
Since n must be integer valued we need to take the ceiling of this solution.
n = 22
Answer:
Dont get it either im stuck on it
Step-by-step explanation:
Answer:
45 degrees
Step-by-step explanation:
Ok I think it is 45 degrees try that if not super sorry
