A solid has faces that consist of two squares and four congruent rectangles. What type of solid is it?
2 answers:
Answer:
The answer is rectangular prism.
Step-by-step explanation:
The rectangular prism is a solid (3-dimensional) object which has six faces that are rectangles in general. For this case, two face are squared, and these faces are opposite.
It has the same cross-section along a length, which makes it a prism.
I have attached an image that shows a rectangular prism and some formulas.
As we see, four rectangular faces are congruent and two rectangular faces (the opposites) are congruent.
The rectangular prism is also called "cuboid" or "rectangular solid".
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Answer:
If we compare the p value and the significance level assumed we see that
so we can conclude that we have enough evidence to fail reject the null hypothesis, so we can't conclude that the height of men actually its NOT significant higher than 0.3 at 1% of signficance.
Step-by-step explanation:
Data given and notation
represent the sample mean
represent the sample standard deviation for the sample
sample size
represent the value that we want to test
represent the significance level for the hypothesis test.
t would represent the statistic (variable of interest)
represent the p value for the test (variable of interest)
State the null and alternative hypotheses.
We need to conduct a hypothesis in order to check if the mean is higher than 3, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
If we analyze the size for the sample is > 30 and we know the population deviation so is better apply a z test to compare the actual mean to the reference value, and the statistic is given by:
(1)
z-test: "Is used to compare group means. Is one of the most common tests and is used to determine if the mean is (higher, less or not equal) to an specified value".
Calculate the statistic
We can replace in formula (1) the info given like this:
P-value
Since is a one side test the p value would be:
Conclusion
If we compare the p value and the significance level assumed we see that
so we can conclude that we have enough evidence to fail reject the null hypothesis, so we can't conclude that the height of men actually its NOT significant higher than 0.3 at 1% of signficance.