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Project 1 Descriptive Statistics In Spss
A study was done to explore the number of hours elementary children watched television over the course of two weeks. The r ...
Project 1 Descriptive Statistics In Spss
A study was done to explore the number of hours elementary children watched television over the course of two weeks. The results are shown below.
PSYCH 1110 Ohio University Psych 1110 Normal distribution Paper
The following 13 questions (Q1 to Q13) are based on the following example: Patients recovering from an appendix ...
PSYCH 1110 Ohio University Psych 1110 Normal distribution Paper
The following 13 questions (Q1 to Q13) are based on the following example: Patients recovering from an appendix operation normally spend an average of 6.3 days in the hospital. The distribution of recovery times is normal with a σ = 2.2 days. The hospital is trying a new recovery program designed to lessen the time patients spend in the hospital. The first 25 appendix patients in this new program were released from the hospital in an average of 5.5 days. On the basis of these data, can the hospital conclude that the new program has a significant reduction of recovery time. Test at the .01 level of significance. Q1: The appropriate statistical procedure for this example would be a A.z-test B.t-test Q2: Is this a one-tailed or a two-tailed test? A.one-tailed B.two-tailed Q3: The most appropriate null hypothesis (in words) would be A.There is no statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. B.There is a statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. C.The new appendix recovery program does not significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. D.The new appendix recovery program does significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program.Q4: The most appropriate null hypothesis (in symbols) would be A.μnew program = 6.3 B.μnew program = 5.5 C.μnew program 6.3 D.μnew program 6.3 Q5: Set up the criteria for making a decision. That is, find the critical value using an alpha = .01. (Make sure you are sign specific: + ; - ; or ) (Use your tables) Summarize the data into the appropriate test statistic. Steps:Q6: What is the numeric value of your standard error? Q7: What is the z-value or t-value you obtained (your test statistic)? Q8: Based on your results (and comparing your Q7 and Q5 answers) would you A.reject the null hypothesis B.fail to reject the null hypothesis Q9: The best conclusion for this example would be A.There is no statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. B.There is a statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. C.The new appendix recovery program does not significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. D.The new appendix recovery program does significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. Q10: Based on your evaluation of the null in Q8 and your conclusion is Q9, as a researcher you would be more concerned with a A.Type I statistical error B.Type II statistical error Calculate the 99% confidence interval. Steps:Q11: The mean you will use for this calculation is A. 5.5 B. 6.3 Q12: What is the new critical value you will use for this calculation? Q13: As you know, two values will be required to complete the following equation: __________ __________ The following 4 questions (Q14 to Q17) are based on the following situation: If α = .10, and β = .30, complete the following questions by inserting the appropriate probability of each. Q14: The statistical decision is to reject the null, and H0 is really true (ie: a Type I error) Q15: The statistical decision is to fail to reject null, and H0 is really true (ie: a correct decision) Q16: The statistical decision is to reject the null, and H0 is really false (ie: Power) Q17: The statistical decision is to fail to reject the null, and H0 is really false (ie a Type II error) The following 14 questions (Q18 to Q31) are based on the following example: A researcher wants to determine whether high school students who attend an SAT preparation course score significantly different on the SAT than students who do not attend the preparation course. For those who do not attend the course, the population mean is 1050 (μ = 1050). The 16 students who attend the preparation course average 1150 on the SAT, with a sample standard deviation of 300. On the basis of these data, can the researcher conclude that the preparation course has a significant difference on SAT scores? Set alpha equal to .05. Q18:The appropriate statistical procedure for this example would be a A.z-test B.t-test Q19: Is this a one-tailed or a two-tailed test? A.one-tailed B.two-tailed Q20: The most appropriate null hypothesis (in words) would be A.There is no statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.B.There is a statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.C.The students who took the SAT prep course did not score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. D.The students who took the SAT prep course did score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. Q21: The most appropriate null hypothesis (in symbols) would be A. μSATprep = 1050 B.μSATprep = 1150 C.μSATprep 1050 D.μSATprep 1050 Q22: Set up the criteria for making a decision. That is, find the critical value using an alpha = .05. (Make sure you are sign specific: + ; - ; or ) (Use your tables) Summarize the data into the appropriate test statistic. Steps:Q23: What is the numeric value of your standard error? Q24: What is the z-value or t-value you obtained (your test statistic)?Q25: Based on your results (and comparing your Q24 and Q22 answers) would you A.reject the null hypothesis B.fail to reject the null hypothesis Q26: The best conclusion for this example would be A.There is no statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.B.There is a statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.C.The students who took the SAT prep course did not score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. D.The students who took the SAT prep course did score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. Q27: Based on your evaluation of the null in Q25 and your conclusion is Q26, as a researcher you would be more concerned with a A.Type I statistical error B.Type II statistical error Calculate the 99% confidence interval. Steps:Q28: The mean you will use for this calculation is A. 1050 B. 1150 Q29: What is the new critical value you will use for this calculation? Q30: As you know, two values will be required to complete the following equation: __________ __________ Q31: Which of the following is a more accurate interpretation of the confidence interval you just computed? We are 99% confident that the scores fall in the interval _____ to _____. We are 99% confident that the average score on the SAT by the students who took the prep course falls in the interval _____ to _____. We are 99% confident that the example above has correct values. We are 99% confident that the difference in SAT scores between the students who took the prep course and the students who did not falls in the interval _____ to _____. The following 2 questions (Q32 to Q33) are based on the following situation: The national average for the verbal section of the Graduate Record Exam (GRE) is 500 with a standard deviation of 100. A researcher uses a sampling distribution made up of samples of 100. Q32: According to the Central Limit Theorem, what is the mean of the sampling distribution of means? A.10 B.50 C.100 D.500 Q33:According to the Central Limit Theorem, what is the standard error of the mean? a. 10b.50 c.100 d.500 Q34:As you increase the number of subjects in your sample, the calculated value of a t-test will A.increase B.decrease C.remain the same Q35:As you decrease the true distance between the null and alternative hypotheses (μ1 – μ0), the likelihood of rejecting the null hypothesis A.increases B.decreases C.remains the same Q36:Keeping everything else the same, if you were to decrease your alpha level from .05 to .01, the likelihood of rejecting the null hypothesis A.increases B.decreases C.remains the same The following 4 questions (Q37 to Q40) are either “True” or “False”Q37: The single-most critical component of deciding whether you are to conduct a t-test versus a z-test for hypothesis testing is whether there is a ‘’.Q38: Predicting the characteristics of an entire group, after having measured a small group, is the major goal of inferential statistics. Q39: Degrees of freedom for a single sample z-test is/are ‘n-1’.Q40: Degrees of freedom for a single sample t-test is/are ‘n-1’.
American InterContinental University Training of Statisticians Presentation
This is a two part assignment.Discussion:Create a comprehensive explanation of a future analysis Teton Grand could run at ...
American InterContinental University Training of Statisticians Presentation
This is a two part assignment.Discussion:Create a comprehensive explanation of a future analysis Teton Grand could run at some point inthe future and how significance testing, confidence intervals and standard error of measurementwould help them understand the results. Your post should be in a client-ready format, usingprofessional and language appropriate for talking to an organization.The assignment should be posted as a video (must include narration) of you describing the futureanalysis for Teton Grand. Assignment:Teton Grand is interested in hiring a statistician intern for the summer to help them analyze data. Yourrole is to explain statistical concepts to the intern so that he/she has a good foundation for running theseanalyses moving forward.You must explain the purpose and use of significance testing, confidence intervals and standard error ofmeasurement using examples for how each concept could be used in relation to Teton Grand’s data.You are not expected to run any analyses this week but this exercise should highlight your ability to talkcredibly about the value of each statistical concept. You must go beyond simply defining the concepts totalking about their relevance to Teton Grand.This can be in a video format, presentation, or step-by-step handout. It must be client-ready,professionally formatted, and easy to understand. If creating a video, length should be approximately 5-10 minutes. If creating a presentation, the length should be approximately 10-15 slides. Your submissionshould adhere to the APA format and guidelines.Resources:Technical Information: This assignment may require a video submission. Click here(https://resources.adler.edu/knowledgebase/my-media-and-media-gallery/) for directions. (https://adler.instructure.com/courses/12203/modules/items/366613) (https://adler.instructure.com/courses/12203/modules/items/366615) (https://adler.instructure.com/courses/12203/modules/items/366616) (https://adler.instructure.com/courses/12203/modules/items/366617) (https://adler.instructure.com/courses/12203/modules/items/366618) (https://adler.instructure.com/courses/12203/modules/items/366619) (https://adler.instructure.com/courses/12203/modules/items/366620) (https://adler.instructure.com/courses/12203/modules/items/366623) (https://adler.instructure.com/courses/12203/modules/items/366622)1/7/2021 [4.1] Statistician Intern Assignmenthttps://adler.instructure.com/courses/12203/assign... 2/4Your presentation can be created using PowerPoint, Prezi or any other multimedia tool, but it must beviewable by anyone in the class. As your instructor and classmates will most likely be a mix of Windowsand Macs user, you must export your presentation as a video and upload it to your media. If you usePrezi, you can post a link to the presentation.PowerPoint (Windows Users): https://support.office.com/en-za/article/Turn-your-presentation-into-a-video-c140551f-cb37-4818-b5d4-3e30815c3e83 (https://support.office.com/en-za/article/Turn-your-presentation-into-a-video-c140551f-cb37-4818-b5d4-3e30815c3e83)Keynote (Mac Users): https://support.apple.com/en-us/HT202220(https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsupport.apple.com%2Fen-us%2FHT202220&data=02%7C01%7Cjbailey%40adler.edu%7C40cbb75f1d8343b3f54108d76868e085%7C9(https://support.apple.com/kb/PH16971?viewlocale=en_US&locale=en_US)Sharing with Prezi: https://prezi.com/support/article/sharing/sharing-...(https://prezi.com/support/article/sharing/sharing-...
STAT2002 Walden University Null and Alternative Hypotheses Analysis Essay
Have you ever seen statistics used to prove a point or make a headline stand out and thought that something was not right? ...
STAT2002 Walden University Null and Alternative Hypotheses Analysis Essay
Have you ever seen statistics used to prove a point or make a headline stand out and thought that something was not right? Perhaps a recent study had been conducted on the long-term effects of drinking coffee and you read two different articles about it. One article claimed that drinking coffee provides physical and mental health benefits, but the other was titled, “Top 5 Reasons to Stop Drinking Coffee.” How could two opposing interpretations come from the same study? In order to have a more accurate understanding, you might read the study for yourself. In doing so, you might find that while some negative health effects were reported, such as sleep loss or anxiety, these findings only applied to a small portion of people. Additionally, perhaps the study also mentions that some of the beneficial aspects of coffee drinking were found, but that further studies would need to be conducted in order for the results to be conclusive. Returning to the two articles, did they mention these disclaimers? Whether they did or not, by having a better understanding of how statistics are used to support a hypothesis, you can better prepare yourself to filter the relevancy and accuracy of information that is presented to you.In this Discussion, you will locate an article or news story where the author presents statistics as evidence and will consider the impact of understanding the null hypotheses, type I errors, and type II errors.To prepare for this Discussion: Review this week’s Learning Resources.Find a news story in which the author(s) presents statistics as evidence. Consider the following questions:What is the author(s) trying to prove? In other words, what question is the author(s) trying to answer?What would the null hypothesis be?What would happen if the author(s) rejected the null?What action would the author(s) take?If there were a type I error, what would be the effect of the action taken?What would happen if the author(s) could not reject the null?What action would the author(s) take?If there were a type II error, what would be the effect of the action?Review the Academic Writing Expectations for 2000/3000-Level Courses, provided in this week’s Learning Resources.By Day 3Post a 150- to 225-word (2- to 3-paragraph) explanation of the role of null and alternative hypotheses as well as type I and II errors in situations where people use statistics as evidence. In your explanation, address the following:Identify, briefly, the null and alternative hypotheses involved in the news story you located, as well as explain what the author(s) is trying to prove.Describe what the implications might be if the author(s) rejected the null and if the author(s) could not reject the null.Explain the impact of potential type I and/or type II errors.To support your response, be sure to reference at least one properly cited scholarly source.
Correlation and Bivariate Regression
Search for and select a quantitative article specific to your discipline and related to correlation or regression. Write a ...
Correlation and Bivariate Regression
Search for and select a quantitative article specific to your discipline and related to correlation or regression. Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:
What is the research design used by the authors?
Why did the authors use correlation or bivariate regression?
Do you think it’s the most appropriate choice? Why or why not?
Did the authors display the data?
Do the results stand alone? Why or why not?
Did the authors report effect size? If yes, is this meaningful?
Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.Required Readings
Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 12, “Regression and Correlation” (pp. 325-371)
Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 8, “Correlation and Regression Analysis”
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Project 1 Descriptive Statistics In Spss
A study was done to explore the number of hours elementary children watched television over the course of two weeks. The r ...
Project 1 Descriptive Statistics In Spss
A study was done to explore the number of hours elementary children watched television over the course of two weeks. The results are shown below.
PSYCH 1110 Ohio University Psych 1110 Normal distribution Paper
The following 13 questions (Q1 to Q13) are based on the following example: Patients recovering from an appendix ...
PSYCH 1110 Ohio University Psych 1110 Normal distribution Paper
The following 13 questions (Q1 to Q13) are based on the following example: Patients recovering from an appendix operation normally spend an average of 6.3 days in the hospital. The distribution of recovery times is normal with a σ = 2.2 days. The hospital is trying a new recovery program designed to lessen the time patients spend in the hospital. The first 25 appendix patients in this new program were released from the hospital in an average of 5.5 days. On the basis of these data, can the hospital conclude that the new program has a significant reduction of recovery time. Test at the .01 level of significance. Q1: The appropriate statistical procedure for this example would be a A.z-test B.t-test Q2: Is this a one-tailed or a two-tailed test? A.one-tailed B.two-tailed Q3: The most appropriate null hypothesis (in words) would be A.There is no statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. B.There is a statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. C.The new appendix recovery program does not significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. D.The new appendix recovery program does significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program.Q4: The most appropriate null hypothesis (in symbols) would be A.μnew program = 6.3 B.μnew program = 5.5 C.μnew program 6.3 D.μnew program 6.3 Q5: Set up the criteria for making a decision. That is, find the critical value using an alpha = .01. (Make sure you are sign specific: + ; - ; or ) (Use your tables) Summarize the data into the appropriate test statistic. Steps:Q6: What is the numeric value of your standard error? Q7: What is the z-value or t-value you obtained (your test statistic)? Q8: Based on your results (and comparing your Q7 and Q5 answers) would you A.reject the null hypothesis B.fail to reject the null hypothesis Q9: The best conclusion for this example would be A.There is no statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. B.There is a statistical difference in the amount of time appendix patients spend in the hospital when comparing the new recovery program to the population of patients on the traditional recovery program. C.The new appendix recovery program does not significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. D.The new appendix recovery program does significantly reduce the number of days spent in the hospital when compared to the population of patients on the traditional recovery program. Q10: Based on your evaluation of the null in Q8 and your conclusion is Q9, as a researcher you would be more concerned with a A.Type I statistical error B.Type II statistical error Calculate the 99% confidence interval. Steps:Q11: The mean you will use for this calculation is A. 5.5 B. 6.3 Q12: What is the new critical value you will use for this calculation? Q13: As you know, two values will be required to complete the following equation: __________ __________ The following 4 questions (Q14 to Q17) are based on the following situation: If α = .10, and β = .30, complete the following questions by inserting the appropriate probability of each. Q14: The statistical decision is to reject the null, and H0 is really true (ie: a Type I error) Q15: The statistical decision is to fail to reject null, and H0 is really true (ie: a correct decision) Q16: The statistical decision is to reject the null, and H0 is really false (ie: Power) Q17: The statistical decision is to fail to reject the null, and H0 is really false (ie a Type II error) The following 14 questions (Q18 to Q31) are based on the following example: A researcher wants to determine whether high school students who attend an SAT preparation course score significantly different on the SAT than students who do not attend the preparation course. For those who do not attend the course, the population mean is 1050 (μ = 1050). The 16 students who attend the preparation course average 1150 on the SAT, with a sample standard deviation of 300. On the basis of these data, can the researcher conclude that the preparation course has a significant difference on SAT scores? Set alpha equal to .05. Q18:The appropriate statistical procedure for this example would be a A.z-test B.t-test Q19: Is this a one-tailed or a two-tailed test? A.one-tailed B.two-tailed Q20: The most appropriate null hypothesis (in words) would be A.There is no statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.B.There is a statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.C.The students who took the SAT prep course did not score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. D.The students who took the SAT prep course did score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. Q21: The most appropriate null hypothesis (in symbols) would be A. μSATprep = 1050 B.μSATprep = 1150 C.μSATprep 1050 D.μSATprep 1050 Q22: Set up the criteria for making a decision. That is, find the critical value using an alpha = .05. (Make sure you are sign specific: + ; - ; or ) (Use your tables) Summarize the data into the appropriate test statistic. Steps:Q23: What is the numeric value of your standard error? Q24: What is the z-value or t-value you obtained (your test statistic)?Q25: Based on your results (and comparing your Q24 and Q22 answers) would you A.reject the null hypothesis B.fail to reject the null hypothesis Q26: The best conclusion for this example would be A.There is no statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.B.There is a statistical difference in SAT scores when comparing students who took the SAT prep course with the general population of students who did not take the SAT prep course.C.The students who took the SAT prep course did not score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. D.The students who took the SAT prep course did score significantly higher on the SAT when compared to the general population of students who did not take the SAT prep course. Q27: Based on your evaluation of the null in Q25 and your conclusion is Q26, as a researcher you would be more concerned with a A.Type I statistical error B.Type II statistical error Calculate the 99% confidence interval. Steps:Q28: The mean you will use for this calculation is A. 1050 B. 1150 Q29: What is the new critical value you will use for this calculation? Q30: As you know, two values will be required to complete the following equation: __________ __________ Q31: Which of the following is a more accurate interpretation of the confidence interval you just computed? We are 99% confident that the scores fall in the interval _____ to _____. We are 99% confident that the average score on the SAT by the students who took the prep course falls in the interval _____ to _____. We are 99% confident that the example above has correct values. We are 99% confident that the difference in SAT scores between the students who took the prep course and the students who did not falls in the interval _____ to _____. The following 2 questions (Q32 to Q33) are based on the following situation: The national average for the verbal section of the Graduate Record Exam (GRE) is 500 with a standard deviation of 100. A researcher uses a sampling distribution made up of samples of 100. Q32: According to the Central Limit Theorem, what is the mean of the sampling distribution of means? A.10 B.50 C.100 D.500 Q33:According to the Central Limit Theorem, what is the standard error of the mean? a. 10b.50 c.100 d.500 Q34:As you increase the number of subjects in your sample, the calculated value of a t-test will A.increase B.decrease C.remain the same Q35:As you decrease the true distance between the null and alternative hypotheses (μ1 – μ0), the likelihood of rejecting the null hypothesis A.increases B.decreases C.remains the same Q36:Keeping everything else the same, if you were to decrease your alpha level from .05 to .01, the likelihood of rejecting the null hypothesis A.increases B.decreases C.remains the same The following 4 questions (Q37 to Q40) are either “True” or “False”Q37: The single-most critical component of deciding whether you are to conduct a t-test versus a z-test for hypothesis testing is whether there is a ‘’.Q38: Predicting the characteristics of an entire group, after having measured a small group, is the major goal of inferential statistics. Q39: Degrees of freedom for a single sample z-test is/are ‘n-1’.Q40: Degrees of freedom for a single sample t-test is/are ‘n-1’.
American InterContinental University Training of Statisticians Presentation
This is a two part assignment.Discussion:Create a comprehensive explanation of a future analysis Teton Grand could run at ...
American InterContinental University Training of Statisticians Presentation
This is a two part assignment.Discussion:Create a comprehensive explanation of a future analysis Teton Grand could run at some point inthe future and how significance testing, confidence intervals and standard error of measurementwould help them understand the results. Your post should be in a client-ready format, usingprofessional and language appropriate for talking to an organization.The assignment should be posted as a video (must include narration) of you describing the futureanalysis for Teton Grand. Assignment:Teton Grand is interested in hiring a statistician intern for the summer to help them analyze data. Yourrole is to explain statistical concepts to the intern so that he/she has a good foundation for running theseanalyses moving forward.You must explain the purpose and use of significance testing, confidence intervals and standard error ofmeasurement using examples for how each concept could be used in relation to Teton Grand’s data.You are not expected to run any analyses this week but this exercise should highlight your ability to talkcredibly about the value of each statistical concept. You must go beyond simply defining the concepts totalking about their relevance to Teton Grand.This can be in a video format, presentation, or step-by-step handout. It must be client-ready,professionally formatted, and easy to understand. If creating a video, length should be approximately 5-10 minutes. If creating a presentation, the length should be approximately 10-15 slides. Your submissionshould adhere to the APA format and guidelines.Resources:Technical Information: This assignment may require a video submission. Click here(https://resources.adler.edu/knowledgebase/my-media-and-media-gallery/) for directions. (https://adler.instructure.com/courses/12203/modules/items/366613) (https://adler.instructure.com/courses/12203/modules/items/366615) (https://adler.instructure.com/courses/12203/modules/items/366616) (https://adler.instructure.com/courses/12203/modules/items/366617) (https://adler.instructure.com/courses/12203/modules/items/366618) (https://adler.instructure.com/courses/12203/modules/items/366619) (https://adler.instructure.com/courses/12203/modules/items/366620) (https://adler.instructure.com/courses/12203/modules/items/366623) (https://adler.instructure.com/courses/12203/modules/items/366622)1/7/2021 [4.1] Statistician Intern Assignmenthttps://adler.instructure.com/courses/12203/assign... 2/4Your presentation can be created using PowerPoint, Prezi or any other multimedia tool, but it must beviewable by anyone in the class. As your instructor and classmates will most likely be a mix of Windowsand Macs user, you must export your presentation as a video and upload it to your media. If you usePrezi, you can post a link to the presentation.PowerPoint (Windows Users): https://support.office.com/en-za/article/Turn-your-presentation-into-a-video-c140551f-cb37-4818-b5d4-3e30815c3e83 (https://support.office.com/en-za/article/Turn-your-presentation-into-a-video-c140551f-cb37-4818-b5d4-3e30815c3e83)Keynote (Mac Users): https://support.apple.com/en-us/HT202220(https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fsupport.apple.com%2Fen-us%2FHT202220&data=02%7C01%7Cjbailey%40adler.edu%7C40cbb75f1d8343b3f54108d76868e085%7C9(https://support.apple.com/kb/PH16971?viewlocale=en_US&locale=en_US)Sharing with Prezi: https://prezi.com/support/article/sharing/sharing-...(https://prezi.com/support/article/sharing/sharing-...
STAT2002 Walden University Null and Alternative Hypotheses Analysis Essay
Have you ever seen statistics used to prove a point or make a headline stand out and thought that something was not right? ...
STAT2002 Walden University Null and Alternative Hypotheses Analysis Essay
Have you ever seen statistics used to prove a point or make a headline stand out and thought that something was not right? Perhaps a recent study had been conducted on the long-term effects of drinking coffee and you read two different articles about it. One article claimed that drinking coffee provides physical and mental health benefits, but the other was titled, “Top 5 Reasons to Stop Drinking Coffee.” How could two opposing interpretations come from the same study? In order to have a more accurate understanding, you might read the study for yourself. In doing so, you might find that while some negative health effects were reported, such as sleep loss or anxiety, these findings only applied to a small portion of people. Additionally, perhaps the study also mentions that some of the beneficial aspects of coffee drinking were found, but that further studies would need to be conducted in order for the results to be conclusive. Returning to the two articles, did they mention these disclaimers? Whether they did or not, by having a better understanding of how statistics are used to support a hypothesis, you can better prepare yourself to filter the relevancy and accuracy of information that is presented to you.In this Discussion, you will locate an article or news story where the author presents statistics as evidence and will consider the impact of understanding the null hypotheses, type I errors, and type II errors.To prepare for this Discussion: Review this week’s Learning Resources.Find a news story in which the author(s) presents statistics as evidence. Consider the following questions:What is the author(s) trying to prove? In other words, what question is the author(s) trying to answer?What would the null hypothesis be?What would happen if the author(s) rejected the null?What action would the author(s) take?If there were a type I error, what would be the effect of the action taken?What would happen if the author(s) could not reject the null?What action would the author(s) take?If there were a type II error, what would be the effect of the action?Review the Academic Writing Expectations for 2000/3000-Level Courses, provided in this week’s Learning Resources.By Day 3Post a 150- to 225-word (2- to 3-paragraph) explanation of the role of null and alternative hypotheses as well as type I and II errors in situations where people use statistics as evidence. In your explanation, address the following:Identify, briefly, the null and alternative hypotheses involved in the news story you located, as well as explain what the author(s) is trying to prove.Describe what the implications might be if the author(s) rejected the null and if the author(s) could not reject the null.Explain the impact of potential type I and/or type II errors.To support your response, be sure to reference at least one properly cited scholarly source.
Correlation and Bivariate Regression
Search for and select a quantitative article specific to your discipline and related to correlation or regression. Write a ...
Correlation and Bivariate Regression
Search for and select a quantitative article specific to your discipline and related to correlation or regression. Write a 3- to 5-paragraph critique of the article. In your critique, include responses to the following:
What is the research design used by the authors?
Why did the authors use correlation or bivariate regression?
Do you think it’s the most appropriate choice? Why or why not?
Did the authors display the data?
Do the results stand alone? Why or why not?
Did the authors report effect size? If yes, is this meaningful?
Be sure to support your Main Post and Response Post with reference to the week’s Learning Resources and other scholarly evidence in APA Style.Required Readings
Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 12, “Regression and Correlation” (pp. 325-371)
Wagner, W. E. (2016). Using IBM® SPSS® statistics for research methods and social science statistics (6th ed.). Thousand Oaks, CA: Sage Publications.
Chapter 8, “Correlation and Regression Analysis”
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