The statement that accurately describes a cause-and-effect relationship described in this excerpt is <u>C. Because the French soldiers</u> are tearing down a ruined wall in a fort, they discover the Rosetta Stone.
<h3>What is a cause-and-effect relationship?</h3>
A cause-and-effect relationship occurs when:
- Two events occur at the same time and in the same place.
- One event immediately precedes the other.
- The second event appears unlikely to have happened without the first event occurring.
Thus, the statement that accurately describes a cause-and-effect relationship described in this excerpt is <u>C. Because the French soldiers</u> are tearing down a ruined wall in a fort, they discover the Rosetta Stone.
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Answer:
Step-by-step explanation:
2+3
3#/4=45
<u>Answer:</u>
- The value of c is 2√2 or about 2.8.
<u>Step-by-step explanation:</u>
<u>We can find the hypotenuse (c) with the help of Pythagoras Theorem.</u>
- => c² = 2² + 2²
- => c² = 4 + 4
- => c² = 8
- => c = √8
- => c = √2 x 2 x 2
- => c = 2√2
<u>If you want further simplification, seek for explanation below.</u>
- => c = 2√2
- => c = 2 x √2
- => c = 2 x 1.414
- => c = 2.828 = 2.8 (Estimated)
Hence, <u>the value of c is 2√2 or about 2.8.</u>
Hoped this helped.

Answer:
Since the p value is lower than the significance level we have enough evidence to reject the null hypothesis and is not enough evidence to conclude that the claim is true.
Step-by-step explanation:
Data given
represent the sample mean
represent the sample standard deviation
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)
System of hypothesis
We need to conduct a hypothesis in order to check if the true mean exceed 29.9 or no, the system of hypothesis would be:
Null hypothesis:
Alternative hypothesis:
The statistic is given by:
(1)
Calculate the statistic
We can replace in formula (1) the info given like this:
P-value
The degrees of freedom are given by:
Since is a one sided test the p value would be:
Conclusion
Since the p value is lower than the significance level we have enough evidence to reject the null hypothesis and is not enough evidence to conclude that the claim is true.