The answer is that it goes 4 units down, i hope this helped :D
<span>One <u>possible model</u><span> is:
You could place 3 red marble and 1 blue marble in a bag. The probability of drawing a red marble would be 3/4, which is 75%; this means red marbles would be sunny days and blue marbles would be cloudy days.
Each draw out of the bag would represent one day of the week. Draw a marble 7 times, replacing it after each draw. This would represent the weather for the days of the week.</span></span>
Answer: find the solution in the explanation
Step-by-step explanation:
Let's use resolution of forces by resolving into x - component and y- component.
X - component.
Sum of forces = F1 - F3 - F4cos 15
Sum of forces = 0
5 - 5 - 0.97F4 = 0
- 0.97 F4 = 0
F4 = 0
Y - component
Sum of forces = F2 + F4 sin 15
Sum of forces = 0
5 + 0.26F4 = 0
0.26 F4 = -5
F4 = -5/0.26
F4 = -19.23 N
Simulating F4 back into the equation
Sum of forces = F1 - F3 - F4cos 15
- F4cos Ø = 0
- (-19.23) cos Ø = 0
Cos Ø = 0
Ø = 1
Does the angle formed approximate 15 degrees ? NO
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.
