A rectangular prism has a height of 4.5 cm, length of 7.2 cm and a width of 9 cm. Joe is going to cover the sides only. How much
1 answer:
Answer:
210.6cm^2
Step-by-step explanation:
1) In the diagram below the shape of the rectangular prism is shown:
where L=7.2, W= 9 and H=4.5
In order to cover only the sides, the area of the front and back faces and the side faces should be added, the top and bottom faces should not be
so the area of front and back faces= 2 (length *width) (multiply by 2 to account for both the front and back face, instead of just one face)
=2(7.2)(9)= 129.6 cm^2
area of side faces: 2(W)(H)=2*9*4.5=81cm^2
129.6cm^2+81cm^2=210.6 cm^2
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So you divide 22. 44 by 6 it will be 3.74 . See image for steps
Answer:
So the p value obtained was a very high value and using the significance level given we see that
so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of graduate students show that only 44 students have ever done so is not significantly lower than 0.6
Step-by-step explanation:
Data given and notation
n=80 represent the random sample taken
X=44 represent the students that have bought merchandise on-line at their site
estimated proportion of graduate students show that only 44 students have ever done so
is the value that we want to test
represent the significance level
z would represent the statistic (variable of interest)
represent the p value (variable of interest)
Concepts and formulas to use
We need to conduct a hypothesis in order to test the claim that the true proportion of interest is lower than 0.6 or 60%, so then the system of hypothesis are.:
Null hypothesis:
Alternative hypothesis:
When we conduct a proportion test we need to use the z statistic, and the is given by:
(1)
The One-Sample Proportion Test is used to assess whether a population proportion is significantly different from a hypothesized value
.
Calculate the statistic
Since we have all the info requires we can replace in formula (1) like this:
Statistical decision
It's important to refresh the p value method or p value approach . "This method is about determining "likely" or "unlikely" by determining the probability assuming the null hypothesis were true of observing a more extreme test statistic in the direction of the alternative hypothesis than the one observed". Or in other words is just a method to have an statistical decision to fail to reject or reject the null hypothesis.
The significance level assumed for this case is . The next step would be calculate the p value for this test.
Since is a left tailed test the p value would be:
So the p value obtained was a very high value and using the significance level given we see that
so we can conclude that we have enough evidence to FAIL to reject the null hypothesis, and we can said that at 5% of significance the proportion of graduate students show that only 44 students have ever done so is not significantly lower than 0.6