Now Lynn takes a different approach. They collect another two samples - GPA from students taking a semester of in-class courses, and then the same students' GPA when they are taking a semester of online courses.  The data set is below. They predict that they will find a difference  between in-class GPA and online GPA for the same students.  Student In Class GPA Online GPA Amy 4.0 3.5 Brad 3.5 2.2 Caroline 3.7 2.0 Dan 3.5 3.5 Emily 3.6 3.3 Frank 3.2 3.2 George 3.3 2.1 For this test, we should use ______ critical values and p-values.  Group of answer choices a) One tail b) Two tail c) Three tail d) None of the answers

use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? FORECAST AND ACTUAL TEMPERATURES The table lists actual high temperatures and the high temperatures that were previously forecasted for these same days. The table includes data for ten different days near the author’s home. What does the result suggest about the accuracy of five-day predicted high temperatures?

P QUESTION 8 A data set of 51 distinct values had the following mean and median: mean = 200 and median = 175. The largest value of the data set was 500. Later it was found that this incorrectly. The correct value is 255. What is the effect on the median and mean if the correction is made? O a. The mean would remain the same while the median would decrease. O b. Both the mean and median would decrease. O c. Both the mean and median would remain the same. Od. The mean would decrease while the median would remain the same. QUESTION 9 12) The Department of Education reported the following ordered data on percentages of bachelor's degree holders in 50 states in the USA during 2020 18 17 18 18 19 20 20 20 21 21 21 21 22 22 22 22 22 22 23 23 24 24 24 24 24 24 24 24 25 26 26 26 26 26 26 27 27 27 27 27 28 28 29 31 31 32 32 34 35 38 Click Save and Submit to save and submit. Click Save All Answers to save all answers. 74°F Sunny H a r O

see picture for graphic and questions. Explanation The Cadet is a popular model of sport utility vehicle, known for its relatively high resale value. The bivariate data given below were taken from a sample of fifteen Cadets, each bought new two years ago, and each sold used within the past month. For each Cadet in the sample, we have listed both the mileage x (in thousands of miles) that the Cadet had on its odometer at the time it was sold used and the price y (in thousands of dollars) at which the Cadet was sold used. The least-squares regression line for these data has equation =y−41.67 - 0.49x. This line is shown in the scatter plot below.

South Dakota prices vary $350,000: $400,000:$400,000:$425,000:$429,000: $440,000: $560,000: $585,000,: $585,000: $785,000 : $1,300,000. We found the following Mean = 569000 SD = 272703.1353 T score = .7113 P Value = .4932 CI: 385795.5409,752204.4591 If you had a margin of error of $13,000 how large of sample would you need with a 90% confidence interval using the given tscore.

Attention: These data are different from your previous questions! Now Lynn takes a different approach. They collect another two samples - GPA from students taking a semester of in-class courses, and then the same students' GPA when they are taking a semester of online courses.  The data set is below. They predict that they will find a difference  between in-class GPA and online GPA for the same students.  Differences Between GPA's Student In Class GPA Online GPA Amy 4.0 3.5 Brad 3.5 2.2 Caroline 3.7 2.0 Dan 3.5 3.5 Emily 3.6 3.3 Frank 3.2 3.2 George 3.3 2.1 What is the t-statistic for this t-test?  (Round to 2 decimal places.)

What is the best description of the shape of the data below?       Bell-shaped     Skewed right     Skewed left

The Focus Problem at the beginning of this chapter asks you to use a sign test with a 10% level of significance to test the claim that the overall temperature distribution of Madison, Wisconsin, is different (either way) from that of Juneau, Alaska. The monthly average data (in °F) are as follows. Month Jan. Feb. March April May June Madison 17.8 21.4 31.8 46.9 57.1 67.8 Juneau 22.8 27.5 31.8 38.6 46.2 52.7 Month July Aug. Sept. Oct. Nov. Dec. Madison 71.9 69.5 60.8 51.7 35.6 22.2 Juneau 55.6 54.9 49.3 41.1 32.5 26.3 (a) What is the level of significance? (b) Compute the sample test statistic. (Use 2 decimal places.) (c) Find the P-value of the sample test statistic

Can i get your help with this?