Please hurry! will give brainliest
1 answer:
Answer:
Step-by-step explanation:
If we think about a right triangle, we get that the hypotenuse is 24ft or the length of the ladder. The base of the ladder is 15ft away from the building which is the leg of the right triangle. The screenshot is the diagram (my drawing isn't that good lol:))
Thus we can use cosine function with the angle between the ladder and the ground since we need to find the angle and we get
and
The angle is 51.3 degrees hope that helps!
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Answer:
a)
b)
c)
Step-by-step explanation:
Some previous concepts
The p-value is the probability of obtaining the observed results of a test, assuming that the null hypothesis is correct.
A z-test for one mean "is a hypothesis test that attempts to make a claim about the population mean(μ)".
The null hypothesis attempts "to show that no variation exists between variables or that a single variable is no different than its mean"
The alternative hypothesis "is the hypothesis used in hypothesis testing that is contrary to the null hypothesis"
Hypothesis
Null hypothesis:
Alternative hypothesis:
If the random variable is distributed like this:
We assume that the variance is known so the correct test to apply here is the z test to compare means, the statistic is given by the following formula:
Since we have the values for the statistic already calculated we can calculate the p value using the following formulas:
Part a
And in order to find the answer using excel we can use the following code:
"=1-NORM.DIST(2.05,0,1,TRUE)"
Part b
And in order to find the answer using excel we can use the following code:
"=1-NORM.DIST(-1.84,0,1,TRUE)"
Part c
And in order to find the answer using excel we can use the following code:
"=1-NORM.DIST(0.4,0,1,TRUE)"
Conclusions
If we use a reference value for the significance, let's say . For part a the
so then we can reject the null hypothesis at this significance level.
For part b the so then we FAIL to reject the null hypothesis at this significance level.
For part c the so again we FAIL to reject the null hypothesis at this significance level.