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CC Source of Variation Sum of Squares Degrees of Freedom & Mean Square Worksheet
I'm working on a statistics multi-part question and need guidance to help me understand better.1. You would like to see if ...
CC Source of Variation Sum of Squares Degrees of Freedom & Mean Square Worksheet
I'm working on a statistics multi-part question and need guidance to help me understand better.1. You would like to see if there is a difference in the mean number of hours spent on email and correspondence for workers in 4 industries. Construct a hypothesis test, complete the ANOVA table to answer the hypothesis questions as well as answering the answering the questions asked of the discussion board. Use a level of significance of .05.I attached a Full picture of the question. Please see it and slove it all with including a explanation.Thank you.
statistics
Assignment #3: Inferential Statistics Analysis and Writeup Purpose: The purpose of this assignment is to develop and carr ...
statistics
Assignment #3: Inferential Statistics Analysis and Writeup Purpose: The purpose of this assignment is to develop and carry out an inferential statistics analysis plan and write up the findings. There are two main parts to this assignment: ● Part A: Inferential Statistics Data Plan and Analysis ● Part B: Write up of Results Part A: Prepare Data Plan, Analyze Data, and Complete Part A of the Assignment #3 Template ➢ Task 1: Select Variables. Review the variables you used for assignments #1 and #2. Select your qualitative socioeconomic variable as your grouping variable and the two expenditure variables from the variables used in these previous assignments. Fill in Table 1: Variables Selected for Analysis with name, description, and type of variable (i.e., qualitative or quantitative). ➢ Task 2: Select and Run a One Sample Confidence Interval Analysis. For one expenditure variable, select and run the appropriate method for estimating a parameter, based on a statistic (i.e., confidence interval method). Complete Table 2: Confidence Interval Information and Results, which follows the format outlined by Kozak and the course’s problem-solving approach, including: ○ Random variable stated in words ○ Confidence interval method, including rationale and assumptions ○ Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.). ○ Results obtained ○ Interpretation ➢ Task 3: Select Two Sample Hypothesis Test. Using the second expenditure variable (with the socioeconomic variable as the grouping variable), select and run the appropriate method for making decisions about two parameters relative to observed statistics (i.e., two sample STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 2 of 5 hypothesis test method). Complete Table 3: Two Sample Hypothesis Test Analysis, which follows the format outlined by Kozak and the course’s problem-solving approach, including: ○ Hypotheses (null and alternative). ○ Two sample hypothesis testing method, including rationale and assumptions ○ Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.). ○ Results obtained. ○ Interpretation (i.e., Reject the null hypothesis OR Fail to reject null hypothesis) Step 2: Write Up Results and Complete Part B of the Assignment #3 Template For this 1 to 2 page section, refer to the inferential statistics data plan and computations done for Part A of this assignment. Address the following area: ➢ Introduction. Based on the scenario you submitted for the second assignment, provide a brief description of scenario, including the variables that were used in this analysis. Include a completed “Table 1: Variables Selected for Analysis to show the variables you selected for analysis. ➢ Data Set Description and Method Used for Analysis. Briefly describe the data set, using information provided with data set and write up in Assignment #2. Also describe what method(s) (i.e., free web applets, Excel, TI Calculator) you used to analyze the data. ➢ Results. In this section, you will report the results of your inferential statistics data analysis. For the Confidence Interval Analysis, write one paragraph that includes: o Statistical method used, including rationale and whether assumptions were met. o Statistical Interpretation. The statistical interpretation is that the confidence interval has a probability (1−α, where α is the complement of the confidence level) of containing the population parameter. o Real World Interpretation. Explain the results in everyday language. Recommend reviewing the text and information from the classroom for examples on how to report results in everyday language. STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 3 of 5 For the Two Sample Hypothesis Test Analysis, write one paragraph that includes: o Hypotheses that were assessed. See below table for example format: Examples Format for Writing Null and Alternative Hypotheses, in Words Null Hypothesis: There is no significant difference in [insert variable name] between [insert group 1 name] and [insert group 2 name] households. Alternative Hypothesis: ➢ For two-tailed (≠): There is a significant difference in [insert variable name] between [insert group 1 name] and [insert group 2 name] households. ➢ For one-tailed (>): [Insert group 1 name] has statistically significantly higher [insert variable name] than [insert group 2 name]. ➢ For one-tailed (<): [Insert group 1 name] has statistically significantly lower [insert variable name] than [insert group 2 name]. o Statistical method used, including rationale and whether assumptions were met. See below table for example format: Example Format for Writing Statistical Method with Rationale To determine whether the there was a difference in [insert household expenditure] between [insert names of two groups), a [insert name of hypothesis test used] was used. It was the appropriate statistical method, because [insert rationale]. The assumptions were assessed [insert information about the assumptions assessed and whether they were met]. o Conclusion from the Results. This is where you state whether to reject Ho or fail to reject Ho including the p-value that was obtained. The rule is: if the p-value < α, then reject Ho. If the p-value ≥α, then fail to reject Ho. STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 4 of 5 o Real World Interpretation. Explain, in everyday language, the results. If any of the assumptions were not met, describe how it might affect conclusions. Address issues of Type I and/or Type II Error, where appropriate. Recommend reviewing the text and information from the classroom for examples on how to report results in everyday language. ➢ Discussion– Write one paragraph that summarizes the results of your findings and how they may be helpful to the person described in the scenario, when making a household budget.
Grand Canyon University Determine the Standard Error of Estimate Statistics Ques
Complete the following exercises from "Review Questions" located at the end of each chapter and put them into a Word docum ...
Grand Canyon University Determine the Standard Error of Estimate Statistics Ques
Complete the following exercises from "Review Questions" located at the end of each chapter and put them into a Word document to submit to the instructor.1.Chapter 6, number 6.9 2.Chapter 7, number 7.8 Show all relevant work; use the equation editor in Microsoft Word when necessary.6.9 Indicate whether the following generalizations suggest a positive or negative rela-tionship. Also speculate about whether or not these generalizations reflect simplecause-effect relationships. (a) Preschool children who delay gratification (postponing eating one marshmallow to wintwo) subsequently receive higher teacher evaluations of adolescent competencies. (b) College students who take longer to finish a test perform more poorly on that test (c) Heavy smokers have shorter life expectancies. (d) Infants who experience longer durations of breastfeeding score higher on IQ tests in later childhood.7.8 Each of the following pairs represents the number of licensed drivers (X ) and the number of cars (Y ) for seven houses in my neighborhood: Drivers (x): 5522312 Cars (y): 4322212(a) Construct a scatterplot to verify a lack of pronounced curvilinearity. (b) Determine the least squares equation for these data. (Remember, you will first have to calculate r, SSy and SSx) (c) Determine the standard error of estimate, sy|x, given that n = 7. (d) Predict the number of cars for each of two new families with two and five drivers
Learn By Doing
Learn by DoingIn this activity we practice the Chi-square Test for Independence in its entirety using StatCrunch.Some feat ...
Learn By Doing
Learn by DoingIn this activity we practice the Chi-square Test for Independence in its entirety using StatCrunch.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions and grading rubric for the Learn by Doing discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.Context - A Real Court CaseIn the early 1970s, a young man challenged an Oklahoma state law that prohibited the sale of 3.2% beer to males under age 21 but allowed its sale to females in the same age group. The case (Craig v. Boren, 429 U.S. 190, 1976) was ultimately heard by the U.S. Supreme Court. The state of Oklahoma argued that the law improved traffic safety. One of the three main pieces of data presented to the court was the result of a “random roadside survey.” This survey gathered information on gender and whether or not the driver had been drinking alcohol in the previous 2 hours. A total of 619 drivers under 21 years of age were included in the survey.PromptA test of independence may be appropriate if we are examining the relationship between two categorical variables in one population. For this situation what is the population? What is the explanatory variable? What is the response variable?What are the hypotheses for the Test of Independence? State hypotheses with reference to the context of the scenario.The spreadsheet of the data looked like this:
Roadside survey dataDriverGenderAlcohol in lasttwo hours?Driver 1MYesDriver 2FNoDriver 3FYes.........Driver 619MNo We will not use the raw data. Instead we will use the summarized data shown in the table below.
Roadside survey summaryDrank alcohol in last 2 hours?YesNoTotals Male77404481 Female16122138 Totals93526619Use StatCrunch to find expected counts, the Chi-square test statistic and the P-value. (directions) Copy and paste your StatCrunch table into your post. How many males in the sample are expected to answer yes to question about alcohol consumption in the last two hours? Show how to calculate this expected count and explain what it means relative to the hypotheses.Explain how we know that this data meets the conditions for use of a chi-square distribution.State a conclusion at a 5% level of significance. Do you think that the data supports the Oklahoma law that forbids sale of 3.2% beer to males and permits it to females?
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CC Source of Variation Sum of Squares Degrees of Freedom & Mean Square Worksheet
I'm working on a statistics multi-part question and need guidance to help me understand better.1. You would like to see if ...
CC Source of Variation Sum of Squares Degrees of Freedom & Mean Square Worksheet
I'm working on a statistics multi-part question and need guidance to help me understand better.1. You would like to see if there is a difference in the mean number of hours spent on email and correspondence for workers in 4 industries. Construct a hypothesis test, complete the ANOVA table to answer the hypothesis questions as well as answering the answering the questions asked of the discussion board. Use a level of significance of .05.I attached a Full picture of the question. Please see it and slove it all with including a explanation.Thank you.
statistics
Assignment #3: Inferential Statistics Analysis and Writeup Purpose: The purpose of this assignment is to develop and carr ...
statistics
Assignment #3: Inferential Statistics Analysis and Writeup Purpose: The purpose of this assignment is to develop and carry out an inferential statistics analysis plan and write up the findings. There are two main parts to this assignment: ● Part A: Inferential Statistics Data Plan and Analysis ● Part B: Write up of Results Part A: Prepare Data Plan, Analyze Data, and Complete Part A of the Assignment #3 Template ➢ Task 1: Select Variables. Review the variables you used for assignments #1 and #2. Select your qualitative socioeconomic variable as your grouping variable and the two expenditure variables from the variables used in these previous assignments. Fill in Table 1: Variables Selected for Analysis with name, description, and type of variable (i.e., qualitative or quantitative). ➢ Task 2: Select and Run a One Sample Confidence Interval Analysis. For one expenditure variable, select and run the appropriate method for estimating a parameter, based on a statistic (i.e., confidence interval method). Complete Table 2: Confidence Interval Information and Results, which follows the format outlined by Kozak and the course’s problem-solving approach, including: ○ Random variable stated in words ○ Confidence interval method, including rationale and assumptions ○ Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.). ○ Results obtained ○ Interpretation ➢ Task 3: Select Two Sample Hypothesis Test. Using the second expenditure variable (with the socioeconomic variable as the grouping variable), select and run the appropriate method for making decisions about two parameters relative to observed statistics (i.e., two sample STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 2 of 5 hypothesis test method). Complete Table 3: Two Sample Hypothesis Test Analysis, which follows the format outlined by Kozak and the course’s problem-solving approach, including: ○ Hypotheses (null and alternative). ○ Two sample hypothesis testing method, including rationale and assumptions ○ Method used for analyzing data (i.e., web applets, Excel, TI calculator, etc.). ○ Results obtained. ○ Interpretation (i.e., Reject the null hypothesis OR Fail to reject null hypothesis) Step 2: Write Up Results and Complete Part B of the Assignment #3 Template For this 1 to 2 page section, refer to the inferential statistics data plan and computations done for Part A of this assignment. Address the following area: ➢ Introduction. Based on the scenario you submitted for the second assignment, provide a brief description of scenario, including the variables that were used in this analysis. Include a completed “Table 1: Variables Selected for Analysis to show the variables you selected for analysis. ➢ Data Set Description and Method Used for Analysis. Briefly describe the data set, using information provided with data set and write up in Assignment #2. Also describe what method(s) (i.e., free web applets, Excel, TI Calculator) you used to analyze the data. ➢ Results. In this section, you will report the results of your inferential statistics data analysis. For the Confidence Interval Analysis, write one paragraph that includes: o Statistical method used, including rationale and whether assumptions were met. o Statistical Interpretation. The statistical interpretation is that the confidence interval has a probability (1−α, where α is the complement of the confidence level) of containing the population parameter. o Real World Interpretation. Explain the results in everyday language. Recommend reviewing the text and information from the classroom for examples on how to report results in everyday language. STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 3 of 5 For the Two Sample Hypothesis Test Analysis, write one paragraph that includes: o Hypotheses that were assessed. See below table for example format: Examples Format for Writing Null and Alternative Hypotheses, in Words Null Hypothesis: There is no significant difference in [insert variable name] between [insert group 1 name] and [insert group 2 name] households. Alternative Hypothesis: ➢ For two-tailed (≠): There is a significant difference in [insert variable name] between [insert group 1 name] and [insert group 2 name] households. ➢ For one-tailed (>): [Insert group 1 name] has statistically significantly higher [insert variable name] than [insert group 2 name]. ➢ For one-tailed (<): [Insert group 1 name] has statistically significantly lower [insert variable name] than [insert group 2 name]. o Statistical method used, including rationale and whether assumptions were met. See below table for example format: Example Format for Writing Statistical Method with Rationale To determine whether the there was a difference in [insert household expenditure] between [insert names of two groups), a [insert name of hypothesis test used] was used. It was the appropriate statistical method, because [insert rationale]. The assumptions were assessed [insert information about the assumptions assessed and whether they were met]. o Conclusion from the Results. This is where you state whether to reject Ho or fail to reject Ho including the p-value that was obtained. The rule is: if the p-value < α, then reject Ho. If the p-value ≥α, then fail to reject Ho. STAT200: Assignment #3 - Inferential Statistics Analysis and Writeup - Instructions Page 4 of 5 o Real World Interpretation. Explain, in everyday language, the results. If any of the assumptions were not met, describe how it might affect conclusions. Address issues of Type I and/or Type II Error, where appropriate. Recommend reviewing the text and information from the classroom for examples on how to report results in everyday language. ➢ Discussion– Write one paragraph that summarizes the results of your findings and how they may be helpful to the person described in the scenario, when making a household budget.
Grand Canyon University Determine the Standard Error of Estimate Statistics Ques
Complete the following exercises from "Review Questions" located at the end of each chapter and put them into a Word docum ...
Grand Canyon University Determine the Standard Error of Estimate Statistics Ques
Complete the following exercises from "Review Questions" located at the end of each chapter and put them into a Word document to submit to the instructor.1.Chapter 6, number 6.9 2.Chapter 7, number 7.8 Show all relevant work; use the equation editor in Microsoft Word when necessary.6.9 Indicate whether the following generalizations suggest a positive or negative rela-tionship. Also speculate about whether or not these generalizations reflect simplecause-effect relationships. (a) Preschool children who delay gratification (postponing eating one marshmallow to wintwo) subsequently receive higher teacher evaluations of adolescent competencies. (b) College students who take longer to finish a test perform more poorly on that test (c) Heavy smokers have shorter life expectancies. (d) Infants who experience longer durations of breastfeeding score higher on IQ tests in later childhood.7.8 Each of the following pairs represents the number of licensed drivers (X ) and the number of cars (Y ) for seven houses in my neighborhood: Drivers (x): 5522312 Cars (y): 4322212(a) Construct a scatterplot to verify a lack of pronounced curvilinearity. (b) Determine the least squares equation for these data. (Remember, you will first have to calculate r, SSy and SSx) (c) Determine the standard error of estimate, sy|x, given that n = 7. (d) Predict the number of cars for each of two new families with two and five drivers
Learn By Doing
Learn by DoingIn this activity we practice the Chi-square Test for Independence in its entirety using StatCrunch.Some feat ...
Learn By Doing
Learn by DoingIn this activity we practice the Chi-square Test for Independence in its entirety using StatCrunch.Some features of this activity may not work well on a cell phone or tablet. We highly recommend that you complete this activity on a computer.Here are the directions and grading rubric for the Learn by Doing discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.Context - A Real Court CaseIn the early 1970s, a young man challenged an Oklahoma state law that prohibited the sale of 3.2% beer to males under age 21 but allowed its sale to females in the same age group. The case (Craig v. Boren, 429 U.S. 190, 1976) was ultimately heard by the U.S. Supreme Court. The state of Oklahoma argued that the law improved traffic safety. One of the three main pieces of data presented to the court was the result of a “random roadside survey.” This survey gathered information on gender and whether or not the driver had been drinking alcohol in the previous 2 hours. A total of 619 drivers under 21 years of age were included in the survey.PromptA test of independence may be appropriate if we are examining the relationship between two categorical variables in one population. For this situation what is the population? What is the explanatory variable? What is the response variable?What are the hypotheses for the Test of Independence? State hypotheses with reference to the context of the scenario.The spreadsheet of the data looked like this:
Roadside survey dataDriverGenderAlcohol in lasttwo hours?Driver 1MYesDriver 2FNoDriver 3FYes.........Driver 619MNo We will not use the raw data. Instead we will use the summarized data shown in the table below.
Roadside survey summaryDrank alcohol in last 2 hours?YesNoTotals Male77404481 Female16122138 Totals93526619Use StatCrunch to find expected counts, the Chi-square test statistic and the P-value. (directions) Copy and paste your StatCrunch table into your post. How many males in the sample are expected to answer yes to question about alcohol consumption in the last two hours? Show how to calculate this expected count and explain what it means relative to the hypotheses.Explain how we know that this data meets the conditions for use of a chi-square distribution.State a conclusion at a 5% level of significance. Do you think that the data supports the Oklahoma law that forbids sale of 3.2% beer to males and permits it to females?
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