Answer:
for the last question, there is a slope calculator on the internet that could help with that
17) The line that is John is closer to certain but not exactly on certain so I'd say it's "likely"
18) Using that same example as the one above, if 0 means impossible, then 1 means certain. I'd place your label for Sara at 1.
19) Let s = sides of the square. There are 4 sides and all sides are equal so we can set up the equation 4s = 64. Divide both sides by 4. s = 16. Now add 2 to this. 16 + 2 = 18. The length of each side of the original square was 18.
20) If the scale is 1 cm : 1 meter and the height of the model is 16 cm, then the actual plane must be 16 meters.
21) 2x and 100 are supplementary angles meaning together they must add up to 180.
2x + 100 = 180
2x = 180 - 100
2x = 80
Divide both sides by 2
x = 40
22) Assuming 3x is supposed to be the right angle, right angles are 90 degrees.
3x = 90
Divide by 3 on both sides
x = 30.
Answer:
See ecplanation below
Step-by-step explanation:
False.
On the Data analysis tool from excel we can conduct the following procedures:
Anova: Single Factor
Anova: Two factor with replication
Anova: Two factor without replication
Correlation
Covariance
Descriptive statistics
Exponential smoothing
F-test Two sample for Variances
Fourier analysis
Histogram
Moving Average
Random number generation
Rank and percentile
Regression
Sampling
t test: Paired two sample for means
t tes: Two sample assuming equal variances
t test: Two sample Assuming Unequal Variances
z test: Two sample for means
And as we can see we don't have an specific procedure just to obtain confidence interval for the difference of proportions. We need to remember that if we select a z test in excel, for example the output will contain the confidence associated to the parameter, but for this case is not too easy obtain a confidence interval for the difference of proportion like on a statistical software as (Minitab, R, SAS, etc) since all of these statistical softwares are elaborated in order to conduct all the possible statistical tests and confidence intervals for parameters of interest.
