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University of California Irvine Ratio Test Inconclusive of Several Series Questions
Please see the attachment for the questions, and hand write or type the answers show all the steps
University of California Irvine Ratio Test Inconclusive of Several Series Questions
Please see the attachment for the questions, and hand write or type the answers show all the steps
Central Limit Theorem, statistics assignment help
This is one of my discussion question that needs to be answer with at least 125 words. Please use own wordsDescribe in wh ...
Central Limit Theorem, statistics assignment help
This is one of my discussion question that needs to be answer with at least 125 words. Please use own wordsDescribe in what way probabilities help estimate parameters to test a hypothesis.
SOCI 332 APUS Test of Significance Job Satisfaction Paper
In Week 4, we used epsilons and 10-percent-point rule to determine if a potential relationship between two variables is wo ...
SOCI 332 APUS Test of Significance Job Satisfaction Paper
In Week 4, we used epsilons and 10-percent-point rule to determine if a potential relationship between two variables is worth examining further. During Week 5, we studied tests of significance. In this week's discussion, we will apply these tests of significance to our project variables. We will also run measures of association to determine the strength and direction of the relationship between our variables. As we discussed previously, the levels of measurement of our variables determine which test of significance works for the research project. Here is the guideline: 1. Before-and-after design and the DV is at I/R level: Dependent Sample T-test2. DV and IV are BOTH categorical variables (nominal/ordinal): Chi-square*Special note for Chi-square: you should have less than 20% of the cells with an expected count of 5 or less. This information is reported automatically, right below the chi-square output table. If your chi-square test fails to meet this requirement, it is necessary to use "recoding" to combining certain answer categories together so the expected counts would increase. 3. DV and IV are both continuous (interval/ratio) variables: regression4. Comparison of groups (when IV is categorical - nominal/ordinal and DV is continuous - interval/ratio): a. Between 2 groups: Independent Sample T-test b. Among 3 or more groups: ANOVAWhy do we need to run tests of significance?They allow us to see if our relationship is "statistically significant." To be more specific, these tests tell us if a relationship observed in a sample, like your research project based on GSS 2016 data set, is generalizable to the population from which this sample was drawn (US adults).Test results reported under "p" in the SPSS output tells us the chances that a relationship observed in the sample is not real, but rather due to factors like a sampling error. We compare this "chance" with level of significance, commonly set as .05 or .01. If this chance is smaller than level of significance, we can reject the null hypothesis, and keep the research hypothesis.Next, we'll use tests of "measures of association" to figure out the exact strength of a relationship between two variables. In addition, we'll learn how to interpret SPSS outputs for measures of association tests such as lambda, gamma, and Pearson's r, along with other possible tests. These tests are also specific to the level of measurement of your variables. Here are the guidelines:Both DV and IV are nominal variables: Lambda (when it is not a 2X2 table)If it is a 2X2 table: PhiBoth DV and IV are ordinal variables: GammaOne variable ordinal AND the other variable dichotomous nominal (like Yes/No, male/female, etc.): GammaOne variable ordinal AND the other variable nominal (not dichotomous, has more than 2 categories): Cramer's V.Both DV and IV are I/R variables: Pearson's rTo interpret the output, see attached handout. Keep in mind measures of association is a statistical procedure based on Proportional Reduction of Error (PRE). Thus the format of interpretation will be: Knowing the IV will reduce error in predicting the DV by *%. Please note: Don't just say "IV" and "DV" in your explanation. You need to enter your variables names for IV and DV, and replace * for the exact test value from the output. If the value of Lambda is .34, then it will be interpreted as 34%.****Ok, now it is time for you to try! For this week's discussion, be sure to perform the correct test of significance (choose one) and measure of association (choose one) on your variables for the final project. You can download the class handout attached at the bottom of the page.This week in the discussion:I. You will decide which test of significance you will use for your project. Use the guideline above to make your choice.II. You will use the process for hypothesis testing which outlines five steps:Write your research hypothesis (H1) and your null hypothesis (H0).Identify and record your level of significance (alpha): either .05 or .01.Complete the significance test using SPSS. (Include the output of the analysis (table) in your post.)Identify the number under Sig. (2-tail). This will be represented by "p." Compare the numbers in steps 2 (alpha) and 4 (p) and apply the following rule:If p < or = alpha, than you reject the null hypothesisDetermine what to do with your null and explain this to your reader. Be sure to go beyond the phrase "reject or fail to reject the null" and explain what that means to your research.III. You will decide which measure of association you will use for your project. Use the guideline above to make your choice. Include the output (table) in your post. Based on the output, describe the strength and direction of the relationship between the variables. Also explain the PRE.**** I have attached information about my variables "satjob1 and happy". the gss 2018 spreadsheet that contains both my variables and a helpful handout from class.
logisim project, math homework help
I have finished some of the questions. I am looking to have someone help complete the rest. The files uploaded are the que ...
logisim project, math homework help
I have finished some of the questions. I am looking to have someone help complete the rest. The files uploaded are the questions and what I have done so far. You will need to follow the link to the Logisim program listed in the directions. Looking to have this complete within 15 hours. Thanks.
13 pages
Studypool Urgent
x=0 is maximum, and is not 0, rule out the second and third choices, f(0)>0, rules out the first one, Use the sine tool to ...
Studypool Urgent
x=0 is maximum, and is not 0, rule out the second and third choices, f(0)>0, rules out the first one, Use the sine tool to graph the function. The ...
National Cancer Institute Data Excel Worksheet & Statistical Application Paper
There is often the requirement to evaluate descriptive statistics for data within the organization or for health care info ...
National Cancer Institute Data Excel Worksheet & Statistical Application Paper
There is often the requirement to evaluate descriptive statistics for data within the organization or for health care information. Every year the National Cancer Institute collects and publishes data based on patient demographics. Understanding differences between the groups based upon the collected data often informs health care professionals towards research, treatment options, or patient education.Using the data on the "National Cancer Institute Data" Excel spreadsheet, calculate the descriptive statistics indicated below for each of the Race/Ethnicity groups. Refer to your textbook and the Topic Materials, as needed, for assistance in with creating Excel formulas.Provide the following descriptive statistics:Measures of Central Tendency: Mean, Median, and ModeMeasures of Variation: Variance, Standard Deviation, and Range (a formula is not needed for Range).Once the data is calculated, provide a 150-250 word analysis of the descriptive statistics on the spreadsheet. This should include differences and health outcomes between groups.APA style is not required, but solid academic writing is expected.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
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University of California Irvine Ratio Test Inconclusive of Several Series Questions
Please see the attachment for the questions, and hand write or type the answers show all the steps
University of California Irvine Ratio Test Inconclusive of Several Series Questions
Please see the attachment for the questions, and hand write or type the answers show all the steps
Central Limit Theorem, statistics assignment help
This is one of my discussion question that needs to be answer with at least 125 words. Please use own wordsDescribe in wh ...
Central Limit Theorem, statistics assignment help
This is one of my discussion question that needs to be answer with at least 125 words. Please use own wordsDescribe in what way probabilities help estimate parameters to test a hypothesis.
SOCI 332 APUS Test of Significance Job Satisfaction Paper
In Week 4, we used epsilons and 10-percent-point rule to determine if a potential relationship between two variables is wo ...
SOCI 332 APUS Test of Significance Job Satisfaction Paper
In Week 4, we used epsilons and 10-percent-point rule to determine if a potential relationship between two variables is worth examining further. During Week 5, we studied tests of significance. In this week's discussion, we will apply these tests of significance to our project variables. We will also run measures of association to determine the strength and direction of the relationship between our variables. As we discussed previously, the levels of measurement of our variables determine which test of significance works for the research project. Here is the guideline: 1. Before-and-after design and the DV is at I/R level: Dependent Sample T-test2. DV and IV are BOTH categorical variables (nominal/ordinal): Chi-square*Special note for Chi-square: you should have less than 20% of the cells with an expected count of 5 or less. This information is reported automatically, right below the chi-square output table. If your chi-square test fails to meet this requirement, it is necessary to use "recoding" to combining certain answer categories together so the expected counts would increase. 3. DV and IV are both continuous (interval/ratio) variables: regression4. Comparison of groups (when IV is categorical - nominal/ordinal and DV is continuous - interval/ratio): a. Between 2 groups: Independent Sample T-test b. Among 3 or more groups: ANOVAWhy do we need to run tests of significance?They allow us to see if our relationship is "statistically significant." To be more specific, these tests tell us if a relationship observed in a sample, like your research project based on GSS 2016 data set, is generalizable to the population from which this sample was drawn (US adults).Test results reported under "p" in the SPSS output tells us the chances that a relationship observed in the sample is not real, but rather due to factors like a sampling error. We compare this "chance" with level of significance, commonly set as .05 or .01. If this chance is smaller than level of significance, we can reject the null hypothesis, and keep the research hypothesis.Next, we'll use tests of "measures of association" to figure out the exact strength of a relationship between two variables. In addition, we'll learn how to interpret SPSS outputs for measures of association tests such as lambda, gamma, and Pearson's r, along with other possible tests. These tests are also specific to the level of measurement of your variables. Here are the guidelines:Both DV and IV are nominal variables: Lambda (when it is not a 2X2 table)If it is a 2X2 table: PhiBoth DV and IV are ordinal variables: GammaOne variable ordinal AND the other variable dichotomous nominal (like Yes/No, male/female, etc.): GammaOne variable ordinal AND the other variable nominal (not dichotomous, has more than 2 categories): Cramer's V.Both DV and IV are I/R variables: Pearson's rTo interpret the output, see attached handout. Keep in mind measures of association is a statistical procedure based on Proportional Reduction of Error (PRE). Thus the format of interpretation will be: Knowing the IV will reduce error in predicting the DV by *%. Please note: Don't just say "IV" and "DV" in your explanation. You need to enter your variables names for IV and DV, and replace * for the exact test value from the output. If the value of Lambda is .34, then it will be interpreted as 34%.****Ok, now it is time for you to try! For this week's discussion, be sure to perform the correct test of significance (choose one) and measure of association (choose one) on your variables for the final project. You can download the class handout attached at the bottom of the page.This week in the discussion:I. You will decide which test of significance you will use for your project. Use the guideline above to make your choice.II. You will use the process for hypothesis testing which outlines five steps:Write your research hypothesis (H1) and your null hypothesis (H0).Identify and record your level of significance (alpha): either .05 or .01.Complete the significance test using SPSS. (Include the output of the analysis (table) in your post.)Identify the number under Sig. (2-tail). This will be represented by "p." Compare the numbers in steps 2 (alpha) and 4 (p) and apply the following rule:If p < or = alpha, than you reject the null hypothesisDetermine what to do with your null and explain this to your reader. Be sure to go beyond the phrase "reject or fail to reject the null" and explain what that means to your research.III. You will decide which measure of association you will use for your project. Use the guideline above to make your choice. Include the output (table) in your post. Based on the output, describe the strength and direction of the relationship between the variables. Also explain the PRE.**** I have attached information about my variables "satjob1 and happy". the gss 2018 spreadsheet that contains both my variables and a helpful handout from class.
logisim project, math homework help
I have finished some of the questions. I am looking to have someone help complete the rest. The files uploaded are the que ...
logisim project, math homework help
I have finished some of the questions. I am looking to have someone help complete the rest. The files uploaded are the questions and what I have done so far. You will need to follow the link to the Logisim program listed in the directions. Looking to have this complete within 15 hours. Thanks.
13 pages
Studypool Urgent
x=0 is maximum, and is not 0, rule out the second and third choices, f(0)>0, rules out the first one, Use the sine tool to ...
Studypool Urgent
x=0 is maximum, and is not 0, rule out the second and third choices, f(0)>0, rules out the first one, Use the sine tool to graph the function. The ...
National Cancer Institute Data Excel Worksheet & Statistical Application Paper
There is often the requirement to evaluate descriptive statistics for data within the organization or for health care info ...
National Cancer Institute Data Excel Worksheet & Statistical Application Paper
There is often the requirement to evaluate descriptive statistics for data within the organization or for health care information. Every year the National Cancer Institute collects and publishes data based on patient demographics. Understanding differences between the groups based upon the collected data often informs health care professionals towards research, treatment options, or patient education.Using the data on the "National Cancer Institute Data" Excel spreadsheet, calculate the descriptive statistics indicated below for each of the Race/Ethnicity groups. Refer to your textbook and the Topic Materials, as needed, for assistance in with creating Excel formulas.Provide the following descriptive statistics:Measures of Central Tendency: Mean, Median, and ModeMeasures of Variation: Variance, Standard Deviation, and Range (a formula is not needed for Range).Once the data is calculated, provide a 150-250 word analysis of the descriptive statistics on the spreadsheet. This should include differences and health outcomes between groups.APA style is not required, but solid academic writing is expected.This assignment uses a rubric. Please review the rubric prior to beginning the assignment to become familiar with the expectations for successful completion.
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