Determine a cause-and-effect link between variables


Response the below in a true or false with justification:

Q1. Supporting the null hypothesis would be possible only if we could prove it for 100% of all possible cases.

Q2. If the claim says that µ >200 and the sample mean is 215, we can say that the claim is true because it is obvious even without a formal test.

Q3. A Calculated Value of F = 3 are evidence that...

Q4. A value of r = -0.851 shows that there is very little relationship between the two variables being compared.

Q5. A value of r = 0.158 shows that there is very little relationship between the two variables being compared.

Q6. If a correlation coefficient of r = 0.642 was found between two variables in a sample of paired data that were measured in feet, the value of r would change if the data were converted to inches and r was computed again.

Q7. More variation should be expected between larger samples, which are apparent by the chi-square distribution.

Q8. A test of independence can be used to determine a cause-and-effect link between the variables being studied.

Q9. Using the F distribution for a one-way ANOVA, the degrees of freedom for the denominator will always exceed the degrees of freedom for the numerator.

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Basic Statistics: Determine a cause-and-effect link between variables
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