Homework 8<\/p>\n
Single-Sample T-Test<\/p>\n
When submitting this file, be sure the filename includes your full name, course and section. Example: HW8_JohnDoe_510B01<\/p>\n
Be sure you have reviewed this module\/week\u2019s lesson and presentations along with the practice data analysis before proceeding to the homework exercises. Complete all analyses in SPSS, then copy and paste your output and graphs into your homework document file. Answer any written questions (such as the text-based questions or the APA Participants section) in the appropriate place within the same file. <\/p>\n
Part I: Concepts<\/p>\n
Questions 1\u20138; Answer the questions in the spaces provided. <\/p>\n
Part I: Questions 1-7<\/p>\n
Fill in the highlighted blanks with the best word or words. 2 pts each \/ 14 total<\/p>\n
1) A researcher reports the results of a single-sample t-test as t(19) = 1.80. The degrees of freedom for this t-test are _______, which means there were _______total participants in the researcher’s sample.<\/p>\n
2) Based on the previous scenario with a one-tailed test and a p level of 0.05, the critical t value is _______, meaning the researcher should _______ the null hypothesis.<\/p>\n
3) As the sample size gets larger, the _______ distribution begin to look more like the _______ distribution. <\/p>\n
4) The number of scores that are free to vary when you are estimating a population parameter from a sample is called the _______.<\/p>\n
5) You use a t-test when you know the population _______ but not the population _______.<\/p>\n
6) If t (12) = 0.79, the 0.79 represents _______. <\/p>\n
7) If you have 8 scores, the degrees of freedom for the scores is (numerical value): _______. <\/p>\n
Part I: Question 8 <\/p>\n
1 pt per answer = 9 pts total<\/p>\n
8) Calculate the critical degrees of freedom and identify the critical t value for a single-sample t test in each of the following situations. Then, state whether the null hypothesis would be accepted or rejected:<\/p>\n
8A) Two-tailed test, N = 12, t = 1.85, p = .10 df= Answer critical t = Answer<\/p>\n
Accept or Reject Ho: Answer <\/p>\n
8B) Two-tailed test, N = 18, t = 1.85, p = .05 df= Answer critical t = Answer<\/p>\n
Accept or Reject Ho: Answer <\/p>\n
8C) One-tailed test, N = 27, t = 1.85, p = .01 df= Answer critical t = Answer<\/p>\n
Accept or Reject Ho: Answer <\/p>\n
Part II: SPSS Analysis<\/p>\n
Module\/Week 8 Exercise File 1 <\/p>\n
Open the \u201cModule\/Week 8 Exercise File 1\u201d document (found in the course\u2019s Assignment Instructions folder) in order to complete these exercises. Part II: Exercises 1-3 (16 pts)<\/p>\n
Use file: Homework8DataFile<\/p>\n
The memory scores for 15 fictional patients with dementia are entered in the \u201cHomework8DataFile\u201d SPSS document (found in the Assignment Instructions folder). <\/p>\n
Higher memory number indicates better memory performance. <\/p>\n
Using these data, run 2 single-sample t-tests to compare the dementia patients\u2019 mean memory score to the following population values: <\/p>\n
Population memory scores<\/p>\n
Age-matched controls: \uf06d = 12.2<\/p>\n
Patients with traumatic brain injury (TBI): \uf06d = 8.1<\/p>\n
For each test, paste the output and write a Results section in current APA style <\/p>\n
As demonstrated in the presentation and in the textbooks. <\/p>\n
There will be 2 sets of output and 2 results sections using this data set<\/p>\n
1 for each test involving a different population mean.<\/p>\n
1) Using the \u201cexplore\u201d tab, run descriptive statistics on the dementia patients\u2019 memory scores (make sure to include the mean and confidence interval). 2pts<\/p>\n
Answer: SPSS output of descriptive statistics <\/p>\n
2A) Population of age matched controls: \uf06d = 12.2. 2pts<\/p>\n
Answer: SPSS output of the t-Test<\/p>\n
2B) Calculate the effect size for the one-sample t test as shown in the Green and Salkind textbook, Lesson 22.2 using the formula: d = Mean Difference \/ SD. Show all work. 2pts<\/p>\n
Answer <\/p>\n
Work<\/p>\n
2C) Write a results section in current APA style describing the outcome. <\/p>\n
All homework results sections must follow the example given in the SPSS presentation and in the textbook. Results sections are multiple sentences (a single paragraph) and must include the APA-formatted statistical statement within a sentence. 3pts<\/p>\n
Answer <\/p>\n
3A) Population of patients with TBI: \uf06d = 8.1. 2pts<\/p>\n
Answer: SPSS output of the t-Test<\/p>\n
3B) Calculate the effect size for the one-sample t test as shown in the Green and Salkind textbook, Lesson 22.2 using the formula: d = Mean Difference \/ SD. Show all work. 2pts<\/p>\n
Answer <\/p>\n
Work<\/p>\n
3C) Write a results section in current APA style describing the outcome. See (2C) for details. 3pts<\/p>\n
Answer <\/p>\n
Part III: SPSS Data Entry and Analysis<\/p>\n
Data provided below.<\/p>\n
Attitudes Toward <\/p>\n
Technology Scale Scores<\/p>\n
21<\/p>\n
23<\/p>\n
20<\/p>\n
18<\/p>\n
17<\/p>\n
20<\/p>\n
24<\/p>\n
21<\/p>\n
19<\/p>\n
17<\/p>\n
20<\/p>\n
Part III: Question 1A-E<\/p>\n
11 pts<\/p>\n
Do elderly people have less positive attitudes toward technology than people in general?<\/p>\n
A social psychologist assessed the attitudes of 11 elderly people using a scale where a lower score indicates a less positive attitude overall. The mean on this scale for the general population is 23.1. The data for the participants are shown in the table to the left. <\/p>\n
Using SPSS, conduct a single-sample t-test to answer the social psychologist\u2019s research question.<\/p>\n
1A) Paste appropriate descriptive statistics table here (must include mea annd confidence intervals) 2pts<\/p>\n
Answer: SPSS output of descriptive statistics<\/p>\n
1B) Paste one sample t-test output here for \uf06d = 23.1 \/ 2pts<\/p>\n
Answer: SPSS output of the t-Test<\/p>\n
1C) Using the directions in Part II, calculate the effect size. 2pts<\/p>\n
Answer Work<\/p>\n
1D) Paste appropriate SPSS graph to show the distribution of elderly attitudes 2pts<\/p>\n
Answer: SPSS graph<\/p>\n
1E) Write a results section in current APA style describing the outcome. Refer to earlier directions for details of what is expected. 3pts<\/p>\n
Answer:<\/p>\n
Part IV: Cumulative<\/p>\n
Data provided below for respective questions. Part IV: Question 1 (Non-SPSS) (3 pts)<\/p>\n
Age at onset of dementia was determined in the general population to be \uf06d = 69.5 and \uf073 = 2.8. <\/p>\n
Use this information to answer the following:<\/p>\n
1A) Based on the data above, what is the z score for the age of 65? (1pt)<\/p>\n
Answer Work: <\/p>\n
1B) Based on the data you have and the z table, what percentage of people might start to show signs of dementia at or before age 65? (2 pts)<\/p>\n
Answer <\/p>\n
Part IV: Question 2-7 (Non-SPSS)<\/p>\n
2 pts each \/ 12 pts total<\/p>\n
Fill in the highlighted blanks with the best word or words. 2 pts each \/ 14 total<\/p>\n
2) If you have a known population mean and standard deviation to compare to one sample, you can perform a _______. <\/p>\n
3) A probability of 0.35 converts to a percent of _______. <\/p>\n
4) If a researcher concludes that their intervention had no effect when in fact it did, they make a _______error. <\/p>\n
5) The _______ hypothesis states that there is an average (nonsignificant) difference between populations. <\/p>\n
6) The three measures of central tendency are the _______, _______, and _______. <\/p>\n
7) If there is one scale independent variable and one scale dependent variable use a _______ or a _______. <\/p>\n
Submit Homework 8 by 11:59 p.m. (ET) on Friday of Module\/Week 8. Remember to name file appropriately. <\/p>\n
Done!<\/p>\n","protected":false},"excerpt":{"rendered":"
Homework 8 Single-Sample T-Test When submitting this file, be sure the filename includes your full name, course and section. Example:<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-40004","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"\n