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10 multiple choice and 5 short answer calculus questions
1.Use your graphing calculator to evaluate . (5 points)0eπ12.Describe the discontinuity for the function . (5 points)Th ...
10 multiple choice and 5 short answer calculus questions
1.Use your graphing calculator to evaluate . (5 points)0eπ12.Describe the discontinuity for the function . (5 points)There is a hole at x = -25.There is a removable discontinuity at x = 5.There is a vertical asymptote at x = 5.There is no discontinuity at x = 5.3.Find . (5 points)Does not exist04.Evaluate . (5 points)∞-∞0-85.Evaluate . (5 points)-20-∞6.Which of the following is the graph of which function has y = -3 as an asymptote? (5 points)y = 3ln(x + 1)7.If is continuous at x = -4, find f(-4). (5 points)4-48-88.Where is discontinuous? (5 points)f(x) is continuous everywherex = 3 and x = -5x = -5x = 39.If f(x) is discontinuous, determine the reason. (5 points)f(x) is continuous for all real numbersThe limit as x approaches 1 does not existf(1) does not equal the limit as x approaches 1f(1) is not defined10.If f(x) is a continuous function defined for all real numbers, f(-10) = -2, f(-8) = 5, and f(x) = 0 for one and only one value of x, then which of the following could be that x value? (5 points)-7-9021.Use the graph below to list the x value(s) where the limits as x approaches from the left and right of those integer values(s) are not equal. (10 points)2.Find . You must show your work or explain your work in words. (10 points)3.Find . You must show your work or explain your work in words. (10 points)4.A ball's position, in meters, as it travels every second is represented by the position function s(t) = 4.9t2 + 350.What is the velocity of the ball after 2 seconds?Include units in your answer. (10 points)5.The cost in dollars of producing x units of a particular telephone is C(x) = x2 - 2500. (10 points)a. Find the average rate of change of C with respect to x when the production level is changed from x = 100 to x = 103. Include units in your answer. b. Find the instantaneous rate of change of C with respect to x when x = 100. Include units in your answer.
Running Inferential Statistics—t Tests
A t test examines if two means (averages) are reliably different from each other; that is, whether any significant differe ...
Running Inferential Statistics—t Tests
A t test examines if two means (averages) are reliably different from each other; that is, whether any significant differences exist between the means of samples from different populations. For example, to what extent is the output of a local office which applied an IT solution different than the output of other local offices which did not apply the IT solution? Also, if you wanted to test whether the average IQ score of a group of students differs from 100, you may use a t test. A t test does more than just compare means; as an inferential statistic, t tests allow researchers to make inferences about the populations beyond their sample data.For this Assignment, you will use the IT Security database and conduct two t tests: (a) one-sample t test and (b) paired-samples t test and prepare an APA results write-up for each test.To prepare for this Assignment:Review the media programs:Introduction to Hypothesis TestingThe t StatisticThe t Test for Related SamplesEstimationReview Lesson 22, "One-Sample t Test.” Then conduct a one-sample t test using the IT Security Dataset from this week’s Learning Resources.Pay particular attention to the sections titled “Writing an APA Results Section” (on pages 119-120) and “An APA Results Section” (on page 167) in the Green and Salkind text.Review Lesson 23, “Paired-Samples t Test.” Then conduct a paired-samples t test using the IT Security Dataset.Pay particular attention to the section titled “An APA Results Section” (on page 122) in the Green and Salkind text.Review the Assignment Exemplar provided in this week’s Learning Resources.Submit a 5- to 6-page paper using the Assignment Exemplar.Your paper must include the following elements:An APA Results section for each t test. (See examples of APA Results sections in Lesson 22 (one-sample t test) and Lesson 23 (paired-samples t test) of the Green and Salkind text.)The critical elements of your SPSS output, including:A properly formatted research questionA properly formatted H10 (null) and H1a (alternate) hypothesisA descriptive statistics narrative and properly formatted descriptive statistics table (see page 148 of the Green and Salkind text)A properly formatted histogram for the one-sample t test (see page 149 of the Green and Salkind text)A properly formatted box plot for the paired-samples t test (see page 154 of the Green and Salkind text)A properly formatted inferential APA Results Section (see page 149 of the Green and Salkind text) for each testAn appendix including the SPSS output generated for descriptive and inferential statistics (see SPSS output on page 148 of the Green and Salkind text)
2 pages
Mat205 Project 3 1
You want to take your first year of Poptastic earnings and invest them. Using the same annual revenue table from the previ ...
Mat205 Project 3 1
You want to take your first year of Poptastic earnings and invest them. Using the same annual revenue table from the previous project, answer the ...
4 pages
Module 24 Anova
1. What are the hypotheses for the ANOVA test? Be sure that you define clearly the 2. Are the conditions that allow us to ...
Module 24 Anova
1. What are the hypotheses for the ANOVA test? Be sure that you define clearly the 2. Are the conditions that allow us to safely use the ANOVA F-test ...
Topic 4 exercises
Chapter 10, numbers 10.9, 10.10, 10.11, and 10.12Chapter 11, numbers 11.11, 11.19, and 11.20Chapter 12, numbers 12.7, 12.8 ...
Topic 4 exercises
Chapter 10, numbers 10.9, 10.10, 10.11, and 10.12Chapter 11, numbers 11.11, 11.19, and 11.20Chapter 12, numbers 12.7, 12.8, and 12.1010.9 The normal range for a widely accepted measure of body size, the body mass index (BMI), ranges from 18.5 to 25. Using the midrange BMI score of 21.75 as the null hypothesized value for the population mean, test this hypothesis at the .01 level of significance given a random sample of 30 weight-watcher participants who show a mean BMI = 22.2 and a standard deviation of 3.1. 10.10 Let’s assume that, over the years, a paper and pencil test of anxiety yields a mean score of 35 for all incoming college freshmen. We wish to determine whether the scores of a random sample of 20 new freshmen, with a mean of 30 and a standard deviation of 10, can be viewed as coming from this population. Test at the .05 level of significance. 10.11 According to the California Educational Code (http://www.cde.ca.gov/ls/fa/sf/pegui-demidhi.asp), students in grades 7 through 12 should receive 400 minutes of physical education every 10 school days. A random sample of 48 students has a mean of 385 minutes and a standard deviation of 53 minutes. Test the hypothesis at the .05 level of significance that the sampled population satisfies the requirement. 10.12 According to a 2009 survey based on the United States census (http://www.census.gov/prod/2011pubs/acs-15.pdf), the daily one-way commute time of U.S. workers averages 25 minutes with, we’ll assume, a standard deviation of 13 minutes. An investigator wishes to determine whether the national average describes the mean commute time for all workers in the Chicago area. Commute times are obtained for a random sample of 169 workers from this area, and the mean time is found to be 22.5 minutes. Test the null hypothesis at the .05 level of significance. 11.11 Give two reasons why the research hypothesis is not tested directly. 11.19 How should a projected hypothesis test be modified if you’re particularly concerned about (a) the type I error? (b) the type II error? 11.20 Consult the power curves in Figure 11.7 to estimate the approximate detection rate, rounded to the nearest tenth, for each of the following situations: (a) a four-point effect, with a sample size of 13 (b) a ten-point effect, with a sample size of 29 (c) a seven-point effect with a sample size of 18 (Interpolate) (I ATTACHED FIGURE 11.7) *12.7 In Question 10.5 on page 191, it was concluded that, the mean salary among the population of female members of the American Psychological Association is less than that ($82,500) for all comparable members who have a doctorate and teach full time. (a) Given a population standard deviation of $6,000 and a sample mean salary of $80,100 for a random sample of 100 female members, construct a 99 percent confidence interval for the mean salary for all female members (b) Given this confidence interval, is there any consistent evidence that the mean salary for all female members falls below $82,500, the mean salary for all members? 12.8 In Review Question 11.12 on page 218, instead of testing a hypothesis, you might prefer to construct a confidence interval for the mean weight of all 2-pound boxes ofcandy during a recent production shift. (a) Given a population standard deviation of .30 ounce and a sample mean weight of 33.09 ounces for a random sample of 36 candy boxes, construct a 95 percent con-fidence interval (b) Interpret this interval, given the manufacturer’s desire to produce boxes of candy that, on the average, exceed 32 ounces. 12.10 Imagine that one of the following 95 percent confidence intervals estimates the effect of vitamin C on IQ scores: 95% CONFIDENCE INTERVAL LOWER LIMIT UPPER LIMIT 1100102 29599 3102106 490 111 59198 (a) Which one most strongly supports the conclusion that vitamin C increases IQ scores? (b) Which one implies the largest sample size? (c) Which one most strongly supports the conclusion that vitamin C decreases IQ scores? (d) Which one would most likely stimulate the investigator to conduct an additional experiment using larger sample sizes?
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Most Popular Content
10 multiple choice and 5 short answer calculus questions
1.Use your graphing calculator to evaluate . (5 points)0eπ12.Describe the discontinuity for the function . (5 points)Th ...
10 multiple choice and 5 short answer calculus questions
1.Use your graphing calculator to evaluate . (5 points)0eπ12.Describe the discontinuity for the function . (5 points)There is a hole at x = -25.There is a removable discontinuity at x = 5.There is a vertical asymptote at x = 5.There is no discontinuity at x = 5.3.Find . (5 points)Does not exist04.Evaluate . (5 points)∞-∞0-85.Evaluate . (5 points)-20-∞6.Which of the following is the graph of which function has y = -3 as an asymptote? (5 points)y = 3ln(x + 1)7.If is continuous at x = -4, find f(-4). (5 points)4-48-88.Where is discontinuous? (5 points)f(x) is continuous everywherex = 3 and x = -5x = -5x = 39.If f(x) is discontinuous, determine the reason. (5 points)f(x) is continuous for all real numbersThe limit as x approaches 1 does not existf(1) does not equal the limit as x approaches 1f(1) is not defined10.If f(x) is a continuous function defined for all real numbers, f(-10) = -2, f(-8) = 5, and f(x) = 0 for one and only one value of x, then which of the following could be that x value? (5 points)-7-9021.Use the graph below to list the x value(s) where the limits as x approaches from the left and right of those integer values(s) are not equal. (10 points)2.Find . You must show your work or explain your work in words. (10 points)3.Find . You must show your work or explain your work in words. (10 points)4.A ball's position, in meters, as it travels every second is represented by the position function s(t) = 4.9t2 + 350.What is the velocity of the ball after 2 seconds?Include units in your answer. (10 points)5.The cost in dollars of producing x units of a particular telephone is C(x) = x2 - 2500. (10 points)a. Find the average rate of change of C with respect to x when the production level is changed from x = 100 to x = 103. Include units in your answer. b. Find the instantaneous rate of change of C with respect to x when x = 100. Include units in your answer.
Running Inferential Statistics—t Tests
A t test examines if two means (averages) are reliably different from each other; that is, whether any significant differe ...
Running Inferential Statistics—t Tests
A t test examines if two means (averages) are reliably different from each other; that is, whether any significant differences exist between the means of samples from different populations. For example, to what extent is the output of a local office which applied an IT solution different than the output of other local offices which did not apply the IT solution? Also, if you wanted to test whether the average IQ score of a group of students differs from 100, you may use a t test. A t test does more than just compare means; as an inferential statistic, t tests allow researchers to make inferences about the populations beyond their sample data.For this Assignment, you will use the IT Security database and conduct two t tests: (a) one-sample t test and (b) paired-samples t test and prepare an APA results write-up for each test.To prepare for this Assignment:Review the media programs:Introduction to Hypothesis TestingThe t StatisticThe t Test for Related SamplesEstimationReview Lesson 22, "One-Sample t Test.” Then conduct a one-sample t test using the IT Security Dataset from this week’s Learning Resources.Pay particular attention to the sections titled “Writing an APA Results Section” (on pages 119-120) and “An APA Results Section” (on page 167) in the Green and Salkind text.Review Lesson 23, “Paired-Samples t Test.” Then conduct a paired-samples t test using the IT Security Dataset.Pay particular attention to the section titled “An APA Results Section” (on page 122) in the Green and Salkind text.Review the Assignment Exemplar provided in this week’s Learning Resources.Submit a 5- to 6-page paper using the Assignment Exemplar.Your paper must include the following elements:An APA Results section for each t test. (See examples of APA Results sections in Lesson 22 (one-sample t test) and Lesson 23 (paired-samples t test) of the Green and Salkind text.)The critical elements of your SPSS output, including:A properly formatted research questionA properly formatted H10 (null) and H1a (alternate) hypothesisA descriptive statistics narrative and properly formatted descriptive statistics table (see page 148 of the Green and Salkind text)A properly formatted histogram for the one-sample t test (see page 149 of the Green and Salkind text)A properly formatted box plot for the paired-samples t test (see page 154 of the Green and Salkind text)A properly formatted inferential APA Results Section (see page 149 of the Green and Salkind text) for each testAn appendix including the SPSS output generated for descriptive and inferential statistics (see SPSS output on page 148 of the Green and Salkind text)
2 pages
Mat205 Project 3 1
You want to take your first year of Poptastic earnings and invest them. Using the same annual revenue table from the previ ...
Mat205 Project 3 1
You want to take your first year of Poptastic earnings and invest them. Using the same annual revenue table from the previous project, answer the ...
4 pages
Module 24 Anova
1. What are the hypotheses for the ANOVA test? Be sure that you define clearly the 2. Are the conditions that allow us to ...
Module 24 Anova
1. What are the hypotheses for the ANOVA test? Be sure that you define clearly the 2. Are the conditions that allow us to safely use the ANOVA F-test ...
Topic 4 exercises
Chapter 10, numbers 10.9, 10.10, 10.11, and 10.12Chapter 11, numbers 11.11, 11.19, and 11.20Chapter 12, numbers 12.7, 12.8 ...
Topic 4 exercises
Chapter 10, numbers 10.9, 10.10, 10.11, and 10.12Chapter 11, numbers 11.11, 11.19, and 11.20Chapter 12, numbers 12.7, 12.8, and 12.1010.9 The normal range for a widely accepted measure of body size, the body mass index (BMI), ranges from 18.5 to 25. Using the midrange BMI score of 21.75 as the null hypothesized value for the population mean, test this hypothesis at the .01 level of significance given a random sample of 30 weight-watcher participants who show a mean BMI = 22.2 and a standard deviation of 3.1. 10.10 Let’s assume that, over the years, a paper and pencil test of anxiety yields a mean score of 35 for all incoming college freshmen. We wish to determine whether the scores of a random sample of 20 new freshmen, with a mean of 30 and a standard deviation of 10, can be viewed as coming from this population. Test at the .05 level of significance. 10.11 According to the California Educational Code (http://www.cde.ca.gov/ls/fa/sf/pegui-demidhi.asp), students in grades 7 through 12 should receive 400 minutes of physical education every 10 school days. A random sample of 48 students has a mean of 385 minutes and a standard deviation of 53 minutes. Test the hypothesis at the .05 level of significance that the sampled population satisfies the requirement. 10.12 According to a 2009 survey based on the United States census (http://www.census.gov/prod/2011pubs/acs-15.pdf), the daily one-way commute time of U.S. workers averages 25 minutes with, we’ll assume, a standard deviation of 13 minutes. An investigator wishes to determine whether the national average describes the mean commute time for all workers in the Chicago area. Commute times are obtained for a random sample of 169 workers from this area, and the mean time is found to be 22.5 minutes. Test the null hypothesis at the .05 level of significance. 11.11 Give two reasons why the research hypothesis is not tested directly. 11.19 How should a projected hypothesis test be modified if you’re particularly concerned about (a) the type I error? (b) the type II error? 11.20 Consult the power curves in Figure 11.7 to estimate the approximate detection rate, rounded to the nearest tenth, for each of the following situations: (a) a four-point effect, with a sample size of 13 (b) a ten-point effect, with a sample size of 29 (c) a seven-point effect with a sample size of 18 (Interpolate) (I ATTACHED FIGURE 11.7) *12.7 In Question 10.5 on page 191, it was concluded that, the mean salary among the population of female members of the American Psychological Association is less than that ($82,500) for all comparable members who have a doctorate and teach full time. (a) Given a population standard deviation of $6,000 and a sample mean salary of $80,100 for a random sample of 100 female members, construct a 99 percent confidence interval for the mean salary for all female members (b) Given this confidence interval, is there any consistent evidence that the mean salary for all female members falls below $82,500, the mean salary for all members? 12.8 In Review Question 11.12 on page 218, instead of testing a hypothesis, you might prefer to construct a confidence interval for the mean weight of all 2-pound boxes ofcandy during a recent production shift. (a) Given a population standard deviation of .30 ounce and a sample mean weight of 33.09 ounces for a random sample of 36 candy boxes, construct a 95 percent con-fidence interval (b) Interpret this interval, given the manufacturer’s desire to produce boxes of candy that, on the average, exceed 32 ounces. 12.10 Imagine that one of the following 95 percent confidence intervals estimates the effect of vitamin C on IQ scores: 95% CONFIDENCE INTERVAL LOWER LIMIT UPPER LIMIT 1100102 29599 3102106 490 111 59198 (a) Which one most strongly supports the conclusion that vitamin C increases IQ scores? (b) Which one implies the largest sample size? (c) Which one most strongly supports the conclusion that vitamin C decreases IQ scores? (d) Which one would most likely stimulate the investigator to conduct an additional experiment using larger sample sizes?
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