The independent variable is the variable that is being changed. In this statement, it would be water flowing flowing in the pool. The dependent variable is what is being changed so that would be the depth of the water.
There, I hope this helps! :)
Answer:
C = 6pi units
or
C is approximately 18.84 units
Step-by-step explanation:
The circumference of a circle is given by
C = pi *d
The diameter is 6 units
C = 6*pi units
If we approximate pi by 3.14
C = 6*3.14
C = 18.84 units
Answer - Yes, corresponding angles converse
When testing the differences between means, the null hypothesis suggests that any observed difference is due to random error.
What is hypothesis testing?
Hypothesis testing is a form of interference that uses data from a given data set or sample to derive meaningful results or conclusions about population distribution.
What is a Null hypothesis?
A null hypothesis is a type of assumption in statistics that proposes that for a given set of data or observations, there is no statistical significance or it shows that there is no difference.
It is a quantitative analysis. It is denoted by H0.
What is mean?
The mean is the average for a given number of samples in the sample solution. The mean can also be derived from the normal distribution graph.
Hence when testing the differences between means, the null hypothesis suggests that any observed difference is due to random error.
Know more about “hypothesis” here: brainly.com/question/17099835
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Answer:
Step-by-step explanation:
A type I error occurs when the researcher rejects the null hypothesis when it is actually true.
A type II error occurs when the research fails to reject the null hypothesis when it is not true.
In this case study,
The null hypothesis is the standard deviation is less that or equal to 13min.
The alternative hypothesis would be that the standard deviation is greater than 13mins.
A type I error would occur when having done an experiment, the researcher rejects the null hypothesis when there is enough evidence that it is actually either less or equal to 13mins
A type II error would occur when the researcher fails to reject the null hypothesis when there is enough evidence that it is actually more than 13mins.
