The scatterplot shows the Exam 1 and Exam 2 scores for a class of 755 integral calculus students during a previous semester. The
x-coordinate is the exam 1 score; the y-coordinate is the exam 2 score. Based on the picture, you may assume correlation and regression is appropriate to use for this data set, and assume scores need not necessarily be integer values. The summary statistics
1 answer:
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Answer:
Step-by-step explanation:
15 can go into both 45 and 150 so you divide both into that
45/15 is 3
150/15=10
Answer:
Here is the mpg for each 6 cylinder:
(23), (24), (30), (23) ,(21), (20) ,(23), (21) ,(23), (22)
i : between 20-24 = 9/10
ii between 25-29 = 0/10
iii at least 30 mpg = 1/10
c- 38, 28,25,26,24,25
d- the mileage of six cylinder car is less than the mileage of four cylinder cars using the same amount of fuel. it is somehow accurate, other factor that affects is the model of the car and how big it is.
Answer:
In order to find the p value we can use the following code in excel:
"=CHISQ.DIST(13.482,21,TRUE)"
If we compare the p value and the significance level provided we see that so on this case we have enough evidence in order to FAIL reject the null hypothesis at the significance level provided. And that means that the population deviation is not significantly lower than 16.1 at 1% of significance.
Step-by-step explanation:
Notation and previous concepts
A chi-square test is "used to test if the variance of a population is equal to a specified value. This test can be either a two-sided test or a one-sided test. The two-sided version tests against the alternative that the true variance is either less than or greater than the specified value"
represent the sample size
represent the confidence level
represent the sample variance obtained
represent the value that we want to test
Null and alternative hypothesis
On this case we want to check if the population deviation is smaller than 16.1 (that's equivalent to check if the population variance is lower than 259.21:
Null Hypothesis:
Alternative hypothesis:
Calculate the statistic
For this test we can use the following statistic:
And this statistic is distributed chi square with n-1 degrees of freedom. We have eveything to replace.
Calculate the p value
In order to calculate the p value we need to have in count the degrees of freedom , on this case 21. And since is a left tailed test the p value would be given by:
In order to find the p value we can use the following code in excel:
"=CHISQ.DIST(13.482,21,TRUE)"
Conclusion
If we compare the p value and the significance level provided we see that so on this case we have enough evidence in order to FAIL reject the null hypothesis at the significance level provided. And that means that the population deviation is not significantly lower than 16.1 at 1% of significance.