The critical values corresponding to a 0.01 significance level used to test the null hypothesis of ρs = 0 is (a) -0.881 and 0.881
<h3>How to determine the critical values corresponding to a 0.01 significance level?</h3>
The scatter plot of the election is added as an attachment
From the scatter plot, we have the following highlights
- Number of paired observations, n = 8
- Significance level = 0.01
Start by calculating the degrees of freedom (df) using
df =n - 2
Substitute the known values in the above equation
df = 8 - 2
Evaluate the difference
df = 6
Using the critical value table;
At a degree of freedom of 6 and significance level of 0.01, the critical value is
z = 0.834
From the list of given options, 0.834 is between -0.881 and 0.881
Hence, the critical values corresponding to a 0.01 significance level used to test the null hypothesis of ρs = 0 is (a) -0.881 and 0.881
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Answer:
y = x-4
Step-by-step explanation:
you can put it in a calculator to be sure
Answer:
(-12, -1)
Step-by-step explanation:
(8, -1) => (-2/3x, f(-2/3x))
therefore
-2/3x = 8
x = 8 *-3/2
x = -12
f(-2/3x) = -1
therefore, the corresponding point is:
(-12,-1)
Answer:
1
Step-by-step explanation:
1 : 1 :sqrt(2)
The legs are in the ratio of 1 to 1
tan 45 = opp side / adj side
tan 45 = 1/1
tan 45 =1
The selected statistical questions are as follows:
<em>A what is the typical amount of rainfall for the month of June in the Galapagos islands</em>
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<em>D how many songs does the class usually listen to each day</em>
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Statistical questions are known by these two main characteristics:
- they are answered by the collection of data
- there is always variability in the data collected
This means that the data vary. They are not the same data. For example, "How old is Monday?" is not a statistical question because it has one answer.
Thus, statistical questions are not answered by a single number or answer, especially when the correct answer is just one.
Learn more examples of statistical questions here: brainly.com/question/15729334
