Question: The sample data and the scatter plot was not added to your question. See the attached file for the scatter plot.
Answer: Yes
Step-by-step explanation:
From scatter plot, it was discovered that there is a linear relationship between the two variables and both variables are quantitative.
Therefore, it appropriate to use the correlation coefficient to describe the strength of the relationship between "Time" and "Fish Quality"?
Answer:
<u>Alternative Hypothesis:H₁:</u><em> μ ≠ 0.41</em>
Step-by-step explanation:
<u><em>Step(i):-</em></u>
Given that the newscast reaches 41% of the viewing audience in the area
The mean of the Population = 0.41
Given that In a survey of 100 viewers, 36% indicated that they watch the late evening news on this local CBS station
Given that the mean of the sample = 0.36
<u><em>Step(ii):-</em></u>
<u><em>Null hypothesis:</em></u><em> The sample statistic does not differ significantly from the hypothetical parameter value.</em>
<em>Given data </em>
<em>Null hypothesis: H₀ : μ = 0.41</em>
<u>Alternative Hypothesis:</u><em> Any hypothesis which is complementary to the Null hypothesis</em>
<u>Alternative Hypothesis:H₁:</u><em> μ ≠ 0.41</em>
<em> </em>
Answer:
D. 67 moons
Step-by-step explanation:
-Start with 14 moons (Neptune)
-14(moons) x 4 = 56(moons)
56(moons) + 11 more = 67 total moons for Jupiter
