A truck can be rented from Company A for $80 a day plus $0.30 per mile. Company B charges $20 a day plus $0.50 per mile to r
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A) The attachment shows the equation of the best-fit line. It is approximately
.. test average = 89.7 -2.93*(hours playing games)
b) The slope indicates the expected drop in test score for each hour spent playing games
c) The y-intercept is the expected test score if no hours are spent playing games.
d) The correlation coefficient is -0.92, a significant negative correlation. One might expect that hours spent playing games indicates a lack of interest in school subjects or studying, hence a likelihood that test scores will be lower.
e) The equation predicts a test score of about 75 for someone who spends 5 hours a week playing video games.
.. test average = 89.7 -2.93*(hours playing games)
b) The slope indicates the expected drop in test score for each hour spent playing games
c) The y-intercept is the expected test score if no hours are spent playing games.
d) The correlation coefficient is -0.92, a significant negative correlation. One might expect that hours spent playing games indicates a lack of interest in school subjects or studying, hence a likelihood that test scores will be lower.
e) The equation predicts a test score of about 75 for someone who spends 5 hours a week playing video games.
Answer:
False
Step-by-step explanation:
Let p1 be the population proportion for the first population
and p2 be the population proportion for the second population
Then
p1 = p2
p1 ≠ p2
Test statistic can be found usin the equation:
where
- p1 is the sample population proportion for the first population
- p2 is the sample population proportion for the second population
- p is the pool proportion of p1 and p2
- n1 is the sample size of the first population
- n2 is the sample size of the second population.
As |p1-p2| gets smaller, the value of the <em>test statistic</em> gets smaller. Thus the probability of its being extreme gets smaller. This means its p-value gets higher.
As the<em> p-value</em> gets higher, the null hypothesis is less likely be rejected.