Click this Video for Finding Correlation Coefficient by Using Formula.Yessica thought that there was a correlation between the amount of time students slept the eveningbefore their final exam and their final exam grade. She took an SRS of 5 students in her class andrecorded the sleep time the evening before their final exam, and their final exam score.Let the sleep time the evening before the final exam represents the explanatory variable, and the finalexam score be the response variable. Below is a sample data set.x (hour)893912345Calculate the sample correlation coefficient (r) to three decimal places.r=9Why would we expect the correlation coefficient to be positive?As the sleep time increases, exam score increasesAs the sleep time increases, exam score decreasesAs the sleep time decreases, exam score increasesThere is no change in exam score to sleep timeCEy (score)91945110090CA

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Answered: Yessica thought that there was a…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The data in hours was collected by subtracting 5 from each observation while examining the drying time of a new paint. If the paint is coded, get the sample mean, median, mode, and midrange for the drying periods of 10 panels of wood. 1.4, 0.8, 2.4, 0.5, 1.3, 2.8, 3.6, 3.2, 2.0, and 1.9 hours were measured. Calculate for Mean, median, and mode
The state Government gives grants to low-income undergraduate students. According to the National Postsecondary Student Aid Study conducted by the U.S. Department of Education in 2008, the average Pell grant award for 2007-2008 was $2,600. We wonder if the mean amount is different this year for Pell grant recipients at San Jose State University. Suppose that we randomly select 50 Pell grant recipients from San Jose State University. For these 50 students, the mean Pell grant award is $2,450 with a standard deviation of $600. Let µ = the mean amount of Pell grant awards received by San Jose State University Pell grant recipients this year. We test the hypotheses: H0: μ = 2,600 , Ha: μ ≠ 2,600. The sample size is greater than 30, so a t-model is a good fit for the sampling distribution. What is the t-test statistic? What is the P-value?
The midterm and final exam grades for a statistics course are provided in the data set below. Jaymes, a student in the class, scored 86 on both exams. Treat the given data sets as samples. Midterm: 80, 78, 85, 82, 79, 79, 78, 86, 80, 84, 78, 84, 80, 84, 81, 78, 81, 82, 78, 84 Final: 81, 88, 68, 69, 69 81, 82, 86, 76, 71, 72, 68, 77, 86, 68, 83, 84, 71, 81, 87 z-score for midterm: 1.857 z-score for final: 1.181 Based on the z-scores calculated above, which of Jaymes's grades is more unusual, the midterm grade or the final exam grade? Select the correct answer below: A. The absolute value of the z-score for the final exam grade is greater than for the midterm grade, so the final exam grade is more unusual. B. The absolute value of the z-score for the midterm exam grade is less than for the final grade, so the midterm grade is more unusual. C. The absolute value of the z-score for the midterm exam grade is greater than for the final grade, so the midterm grade is more…
The table below shows the frequency of AP Biology scores for a high school class. AP Score Frequency 1 5 2 7 3 6 4 4 5 3 Find the mean and median. Mean = 1.67 and Median = 2 Mean = 2.72 and Median = 3 Mean = 2.72 and Median = 7 Mean = 4.53 and Median = 4 Mean = 4.53 and Median = 3
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.
You collect data on number of hours spent studying, on average, throughout the Fall 2019 semester for all Stonehill students. You have a colleague at the College of the Holy Cross in Worcester, MA who collects the same data at Holy Cross. You want to compare the average number of hours spent studying during the Fall 2019 semester for male students at Stonehill, female students at Stonehill, male students at Holy Cross and female students at Holy Cross. Which statistical test would you use to compare the students at Stonehill and Holy Cross to look for significant differences in study time? a. one sample t test b. two sample t test c. repeated measures t test d. ANOVA
Jocelyn believes that the amount of sleep she tends to get on weekends differs from the amount of sleep she tends to get during the school week. To investigate this claim, she randomly selects 10 weekend days and 10 school days. She consults her smart watch to determine the number of hours she slept for each of the selected days. Here are the data. School week: 7, 7.5, 8, 6.5, 8, 7.5, 7, 6.5, 7, 8Weekend: 9.5, 9.5, 8.25, 8.5, 7.5, 10.25, 8, 7, 9.5, 10 Jocelyn would like to determine if these data provide convincing evidence that the true mean amount of sleep she gets on the weekend differs from the true mean amount of sleep she gets during the school week. She tests H0: μS – μW = 0, Ha: μS – μW ≠ 0, where μW = the true mean amount of sleep Jocelyn gets on the weekend and μS = the true mean amount of sleep she gets during the school week. The conditions for inference are met. What are the values of the test statistic and P-value for a t-test about a difference in means? Find the…
A contributor for the local newspaper is writing an article for the weekly fitness section. To prepare for the story, she conducts a study to compare the exercise habits of people who exercise in the morning to the exercise habits of people who work out in the afternoon or evening. She selects three different health centers from which to draw her samples. The 57 people she sampled who work out in the morning have a mean of 4.8 hours of exercise each week. The 56 people surveyed who exercise in the afternoon or evening have a mean of 4.2 hours of exercise each week. Assume that the weekly exercise times have a population standard deviation of 0.8 hours for people who exercise in the morning and 0.3 hours for people who exercise in the afternoon or evening. Let Population 1 be people who exercise in the morning and Population 2 be people who exercise in the afternoon or evening. Step 1 of 2 : Construct a 95% confidence interval for the true difference between the mean amounts…
what test is applicable in this situation
An Internet retailer would like to investigate the relationship between the amount of time in minutes a purchaser spends on its Web site and the amount of money he or she spends on an order. The table to the right shows the data from a random sample of
The average fuel efficiencies, in miles per gallon, of cars sold in the United States in the years 1999 to 2003 were 28.2, 28.3, 28.4, 28.5, 29.0 Find the sample mean of this set of data.
For the data represented by the Stem and Leaf diagram shown below, the Mean is equal to 68.275. The Median is 67.5, :(answer (True) or (False Stems 3 4 5 6 7 8 9 Leaves 689 7 01 02 135 5 6 7 3 4 4 5 6 7 X 9 5 8 9 679 0 0 0 1 0 1 3 5 5 899 False O True O

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