Description
prepare 1 l of a 80% alcohol from a 70% solution and a 100% solution. how much of each do you need to measure out?
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Explanation & Answer
70% alcohol 100% alcohol
80% alcohol
20% 10%
ratio= 2: 1
therefore to make 1000ml or 1 litre you would require
2/3*1000=666.67 mls
1/3*1000=333.3mls
please best my answer. thank you
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Linear Regression Project
In this project you will chose a data set that interests you and investigate a possible association between two variables ...
Linear Regression Project
In this project you will chose a data set that interests you and investigate a possible association between two variables within that data set. This project will give you an opportunity to use StatCrunch to apply the skills and techniques you have learned in this class and to produce a professional report. To produce a successful project you must:Read and follow the instructions carefully.Give yourself sufficient time to work on the project.Write clearly, using appropriate statistical terminology and correct mathematical notation. College-level writing is expected, as is the use of proper grammar.Use StatCrunch to complete all calculations and graphs.Create original work. The following link describes, in detail, plagiarism, fair use and HCC’s academic policy: Fair Use and Academic Honesty (Links to an external site.) Furthermore, this means that students who are repeating the course are expected to create an entirely new project using two new variables of interest.Submit a professional report that is typed and formatted and organized wellSubmit your project via Canvas as a PDF or Word file.PROJECT INSTRUCTIONSFor this project you are going to choose one data set from the list below that you find interesting and investigate an association between two variables within that data set. You will then examine the data and write a two page report. In your report you should:Introduce the data set and explain why you chose it.Describe the variables you chose and thoroughly explain what you are investigating. Be sure to define which variable is the explanatory variable and which is the response variable.Using StatCrunch, create an appropriate graph for the association you are investigating and calculate the correlation coefficient and the linear model. Be sure your graph is appropriately labeled and that it includes a title and then copy it into your paper.Report the correlation coefficient.Describe the association you are investigating using correct statistical terminology. Reference your graph and the correlation coefficient, and be sure to note any possible outliers.Report the linear model using correct notation.Interpret the slope and vertical intercept of your model, and discuss the appropriateness of your model.Summarize your findings and draw a conclusion.DATA SETSBelow is a list of data sets - choose one for your project. The links will not work directly, so please follow these directions: In Canvas, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website --> Open StatCrunch (yellow button at top of page, it will auto login)Then copy/paste a URL below into either the current tab or a new tabTo save your data and work, go to the Data tab and choose SaveTo Re-open your saved file, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website -->MyStatCrunch (on the right side)-->My DataMarriage vs. the Economy: https://www.statcrunch.com/app/index.php?dataid=28... This data set compares the number of marriages in the last 30 years to several factors of the economy. COMPLETION CHECKLISTUse the following checklist when proofreading your project.For each aspect below, an excellent report will: IntroductionGive the name of the data set chosen as well as some details describing the data set. (This may require following links or referencing the text)Include a clear justification for why the data set was chosen.Involve two quantitative variables.Clearly and thoroughly describe the variables chosen. (This may require following links or referencing the text)Clearly and correctly assign explanatory and response variables.Thoroughly explain the association being investigated and give a logical justification for why the author believes the association exists.GraphInclude an appropriate scatterplot generated using StatCrunch.Accurately assign and clearly label the axes for the scatterplot.Include an appropriate title for the scatterplot. Include the appropriate correlation coefficient for the association generated using StatCrunch.Include an accurate and thorough description of the association with reference to the graph, correlation coefficient and any outliers. Linear Association ModelInclude an appropriate linear regression model generated using StatCrunch and written using correct notation and typesetting.Give an accurate and detailed interpretation of the slope of the linear regression model.Give an accurate and detailed interpretation of the y-intercept of the linear regression model.Thoroughly discuss the appropriateness of the linear regression model with reference to other aspects of the report.ConclusionIncludes a summary of the findings and a clear conclusion regarding the association.Appear highly professional, be easy to read and comprehend, and use correct statistical vocabulary.
OP Maths Binary Minimum and Maximum Values to Decimal Notation Worksheet
Hello hello hello I’m back again lol how’s it going? Can you have a look through and see if you can answer these quest ...
OP Maths Binary Minimum and Maximum Values to Decimal Notation Worksheet
Hello hello hello I’m back again lol how’s it going? Can you have a look through and see if you can answer these questions ok? I would rather give you the business than open it up to the floor
This question part asks you to apply what you have learned to a new situation.One way of dealing with the imprecision of floating-point numbers is to ‘sandwich’ the exact value between the two closest values on either side. So, for example, in a decimal system that can represent exactly 4 digits beyond the decimal point, the value 0.333333… would be ‘sandwiched’ between 0.3333 and 0.3334. When a calculation is performed, it is repeated with each of the sandwich values to give a range within which the exact result of the calculation lies. For example, the exact value of 3 × 0.333333... is somewhere between 0.3333 × 3 and 0.3334 × 3, so between the values 0.9999 and 1.0002. Although this does not give us the exact value of the calculation, this method tells us a minimum and maximum value for it, within the limits of the precision of the system.
i.Show that 0.0100112 is the binary representation of 0.29687510
ii.A computer system allows only 4 binary digits after the decimal point. Write the two binary values with exactly 4 digits after the decimal point that ‘sandwich’ 0.0100112.
iii.Using the two binary ‘sandwich’ values that you found in (ii), write down the minimum and maximum binary values that sandwich the result of 0.0100112 + 0.0100112
iv.Convert each of the binary values you found in (iii) to decimal notation. Give the minimum and maximum values in decimal notation.
v.Calculate, in decimal, the value of 0.29687510 + 0.29687510 (Your answer is the actual value so it should not be rounded). By what percentage, rounded to the nearest whole percent, does the maximum value exceed the actual value? Your answer should show the actual value, the percentage and your workings for full marks.
(10 marks)
c.This question part is based on truth tables and assesses your ability to form logic expressions.During the Coronavirus pandemic in 2020, a supermarket puts restrictions on fruit and veg combinations that people can leave the supermarket with on a Thursday. In particular, for apples (A), bananas (B) and carrots (C), the following two rules are issued:
Rule 1: No apples allowed. (translated into the logic expression NOT A)
Rule 2: Bananas or carrots are allowed. (translated into the logic expression B OR C)
To avoid any misinterpretation, the rules have been translated into logic expressions (as shown above).
i.Complete the following truth table. In the final column, show purchases that are acceptable on a Thursday according to both Rule 1 and Rule 2.
ABCNOT AB OR CACCEPTABLE000001010011100101110111
ii.Find a logic expression which is logically equivalent to the logic expression A?B in the following table. (Here, A?B is a logic expression featuring a new operation that we have named ‘?’.) Follow the method that is described in Block 1 Part 1. To obtain the logic expression for A?B, first obtain the logic expressions for the relevant rows of the table below. Then construct the logic expression for A?B from that. For full marks, show your working.
ABA?BLogic expression001011100110
(6 marks)
(Total 22 marks)
This part of the question involves calculations. For full marks, you must include your workings and explanations.
Consider the following two processors:
Processor 1 has a clock speed of 4.0 GHz with 32 KiB of L1 cache.
Processor 2 has a clock speed of 2.0 GHz with 64 KiB of L1 cache.
In order to decide which to buy, you estimate the time each processor will take to load a program with 10,000 RISC instructions into the processor’s registers and the time to execute the instructions.
Each RISC instruction has a size of 4 bytes.
Each RISC instruction takes one clock pulse to execute once it is in the registers.
i.Show that a program consisting of 10,000 RISC instructions will fit into 64 KiB of L1 cache, but will not fit into 32 KiB of L1 cache.
ii.It takes 1 nanosecond (1 x 10-9 s) to move an instruction from L1 cache to the registers and 9 nanoseconds to move an instruction from L2 cache to the L1 cache. Assume that for Processor 2, all of the instructions can be found in L1 cache and for Processor 1, all of the instructions that won’t fit in L1 cache can be found in L2 cache. How much time is needed to load all 10,000 instructions into the registers for each processor? Write your answers in seconds, using scientific notation.
iii.For each processor, calculate the time it takes to execute 10,000 RISC instructions. You should not include the time to load the instructions into the registers here. Write your answers in seconds, using scientific notation.
Based on your answers to parts i and ii of this question, you should now be able to make an estimate of which processor is faster overall, although you don’t need to provide your estimate in answer to this question.
(12 marks)
A program is required to compare three numbers to see if any of them is equal to the product of the other two.
The program will take three integers, between 1 and 100 inclusive.
The program should output one of the following strings:
a = b * c
b = a * c
c = a * b
No number is the product of the others
You are given the following test data and an incomplete and error-filled program.
Test Number
Inputs
Expected Outputabc1623a = b * c2362b = a * c3326c = a * b4789No number is product of the others
# Problem: Check if any of three numbers is product of others # Input: a as an integer from 1 to 100 # Input: b as an integer from 1 to 100 # Input: c as an integer from 1 to 100 a = 6 b = 2 c = 3 # Output: answer, a string if a == b + c answer = 'a = b * c' if b == a * c answer = 'b = a * c' if c == a + b : answer = 'c = a * b' if (a != b * c) and (b != a * c) and (c != a * b): answer = 'No number is product of others' print (answer)
a.
i.What are the inputs and outputs of this problem and their types?
ii.What are the admissible values for the inputs?
(5 marks)
b.
i.What are the syntax errors in this program? Consider no other errors at this point.
ii.Once they are corrected, which of the above tests would the program still fail and why? Refer to test cases using their Test Number from the first column.
iii.Give an explanation for the choice of input values in the test table.
(8 marks)
Week 5 Statistical Significance & Meaningfulness on Sample Statements Paper
Part of your task as a scholar-practitioner is to act as a
critical consumer of research and ask informed ques ...
Week 5 Statistical Significance & Meaningfulness on Sample Statements Paper
Part of your task as a scholar-practitioner is to act as a
critical consumer of research and ask informed questions of published
material. Sometimes, claims are made that do not match the results of
the analysis. Unfortunately, this is why statistics is sometimes
unfairly associated with telling lies. These misalignments might not be
solely attributable to statistical nonsense, but also “user error.” One
of the greatest areas of user error is within the practice of hypothesis
testing and interpreting statistical significance. As you continue to
consume research, be sure and read everything with a critical eye and
call out statements that do not match the results.
For this Assignment, you will examine statistical significance and meaningfulness based on sample statements.To prepare for this Assignment:Review the Week 5 Scenarios found in this week’s Learning Resources and select two of the four scenarios for this Assignment. For additional support, review the Skill Builder: Evaluating P Values and the Skill Builder: Statistical Power,
which you can find by navigating back to your Blackboard Course Home
Page. From there, locate the Skill Builder link in the left navigation
pane. For this Assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.Week 5 Scenarios:1.The p-value was slightly above conventional threshold, but was described as “rapidly approaching significance” (i.e., p=.06). An independent samples t test was used to determine whether student satisfaction levels in a quantitative reasoning course differed between the traditional classroom and on-line environments.The samples consisted of students in four face-to-face classes at a traditional state university (n=65) and four online classes offered at the same university (n=69). Students reported their level of satisfaction on a five-point scale, with higher values indicating higher levels of satisfaction.Since the study was exploratory in nature, levels of significance were relaxed to the .10 level. The test was significant t(132) = 1.8, p= .074, wherein students in the face-to-face class reported lower levels of satisfaction (M= 3.39, SD= 1.8)than did those in the online sections (M= 3.89, SD= 1.4).We therefore conclude that on average, students in online quantitative reasoning classes have higher levels of satisfaction.The results of this study are significant because they provide educators with evidence of what medium works better in producing quantitatively knowledgeable practitioners.2.A results report that does not find any effect and also has small sample size (possibly no effect detected due to lack of power). A one-way analysis of variance was used to test whether a relationship exists between educational attainment and race. The dependent variable of education was measured as number of years of education completed. The race factor had three attributes of European American (n=36), African American (n=23) and Hispanic (n=18). Descriptive statistics indicate that on average, European Americans have higher levels of education (M=16.4, SD=4.6), with African Americans slightly trailing (M= 15.5, SD=6.8) and Hispanics having on average lower levels of educational attainment (M=13.3, SD=6.1). The ANOVA was not significant F(2,74) = 1.789, p= .175, indicating there are no differences in educational attainment across these three races in the population.The results of this study are significant because they shed light on the current social conversation about inequality. 3.Statistical significance is found in a study, but the effect in reality is very small (i.e., there was a very minor difference in attitude between men and women). Were the results meaningful?An independent samples t test was conducted to determine whether differences exist between men and women on cultural competency scores. The samples consisted of 663 women and 650 men taken from a convenience sample of public, private,and non-profit organizations. Each participant was administered an instrument that measured his or her current levels of cultural competency. The © 2016 Laureate Education, Inc. Page 2of 2cultural competency score ranges from 0 to 10,with higher scores indicating higher levels of cultural competency. The descriptive statistics indicate women have higher levels of cultural competency (M= 9.2, SD= 3.2) than men (M= 8.9, SD=2.1). The results were significant t(1311) = 2.0, p<.05, indicating that women are more culturally competent than are men. These results tell us that gender-specific interventions targeted toward men may assist in bolstering cultural competency. 4.A study has results that seem fine, but there is no clear association to social change. What is missing? A correlation test was conducted to determine whether a relationship exists between level of income and job satisfaction. The sample consisted of 432 employees equally represented across public, private,and non-profit sectors. The results of the test demonstrate a strong positive correlation between the two variables,r=.87, p<.01, showing that as level of income increases, job satisfaction increases as well.
62 pages
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This Mathematical Formulae handbook has been prepared in response to a request from the Physics Consultative Committee, with the hope that it will be useful to those studying physics. It is to some extent modelled on a similar document issued by the Department of Engineering, but obviously reflects the particular interests of physicists.
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Linear Regression Project
In this project you will chose a data set that interests you and investigate a possible association between two variables ...
Linear Regression Project
In this project you will chose a data set that interests you and investigate a possible association between two variables within that data set. This project will give you an opportunity to use StatCrunch to apply the skills and techniques you have learned in this class and to produce a professional report. To produce a successful project you must:Read and follow the instructions carefully.Give yourself sufficient time to work on the project.Write clearly, using appropriate statistical terminology and correct mathematical notation. College-level writing is expected, as is the use of proper grammar.Use StatCrunch to complete all calculations and graphs.Create original work. The following link describes, in detail, plagiarism, fair use and HCC’s academic policy: Fair Use and Academic Honesty (Links to an external site.) Furthermore, this means that students who are repeating the course are expected to create an entirely new project using two new variables of interest.Submit a professional report that is typed and formatted and organized wellSubmit your project via Canvas as a PDF or Word file.PROJECT INSTRUCTIONSFor this project you are going to choose one data set from the list below that you find interesting and investigate an association between two variables within that data set. You will then examine the data and write a two page report. In your report you should:Introduce the data set and explain why you chose it.Describe the variables you chose and thoroughly explain what you are investigating. Be sure to define which variable is the explanatory variable and which is the response variable.Using StatCrunch, create an appropriate graph for the association you are investigating and calculate the correlation coefficient and the linear model. Be sure your graph is appropriately labeled and that it includes a title and then copy it into your paper.Report the correlation coefficient.Describe the association you are investigating using correct statistical terminology. Reference your graph and the correlation coefficient, and be sure to note any possible outliers.Report the linear model using correct notation.Interpret the slope and vertical intercept of your model, and discuss the appropriateness of your model.Summarize your findings and draw a conclusion.DATA SETSBelow is a list of data sets - choose one for your project. The links will not work directly, so please follow these directions: In Canvas, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website --> Open StatCrunch (yellow button at top of page, it will auto login)Then copy/paste a URL below into either the current tab or a new tabTo save your data and work, go to the Data tab and choose SaveTo Re-open your saved file, click on MyLab and Mastering --> Open My Lab and Mastering --> StatCrunch (on the left) --> Visit the StatCrunch Website -->MyStatCrunch (on the right side)-->My DataMarriage vs. the Economy: https://www.statcrunch.com/app/index.php?dataid=28... This data set compares the number of marriages in the last 30 years to several factors of the economy. COMPLETION CHECKLISTUse the following checklist when proofreading your project.For each aspect below, an excellent report will: IntroductionGive the name of the data set chosen as well as some details describing the data set. (This may require following links or referencing the text)Include a clear justification for why the data set was chosen.Involve two quantitative variables.Clearly and thoroughly describe the variables chosen. (This may require following links or referencing the text)Clearly and correctly assign explanatory and response variables.Thoroughly explain the association being investigated and give a logical justification for why the author believes the association exists.GraphInclude an appropriate scatterplot generated using StatCrunch.Accurately assign and clearly label the axes for the scatterplot.Include an appropriate title for the scatterplot. Include the appropriate correlation coefficient for the association generated using StatCrunch.Include an accurate and thorough description of the association with reference to the graph, correlation coefficient and any outliers. Linear Association ModelInclude an appropriate linear regression model generated using StatCrunch and written using correct notation and typesetting.Give an accurate and detailed interpretation of the slope of the linear regression model.Give an accurate and detailed interpretation of the y-intercept of the linear regression model.Thoroughly discuss the appropriateness of the linear regression model with reference to other aspects of the report.ConclusionIncludes a summary of the findings and a clear conclusion regarding the association.Appear highly professional, be easy to read and comprehend, and use correct statistical vocabulary.
OP Maths Binary Minimum and Maximum Values to Decimal Notation Worksheet
Hello hello hello I’m back again lol how’s it going? Can you have a look through and see if you can answer these quest ...
OP Maths Binary Minimum and Maximum Values to Decimal Notation Worksheet
Hello hello hello I’m back again lol how’s it going? Can you have a look through and see if you can answer these questions ok? I would rather give you the business than open it up to the floor
This question part asks you to apply what you have learned to a new situation.One way of dealing with the imprecision of floating-point numbers is to ‘sandwich’ the exact value between the two closest values on either side. So, for example, in a decimal system that can represent exactly 4 digits beyond the decimal point, the value 0.333333… would be ‘sandwiched’ between 0.3333 and 0.3334. When a calculation is performed, it is repeated with each of the sandwich values to give a range within which the exact result of the calculation lies. For example, the exact value of 3 × 0.333333... is somewhere between 0.3333 × 3 and 0.3334 × 3, so between the values 0.9999 and 1.0002. Although this does not give us the exact value of the calculation, this method tells us a minimum and maximum value for it, within the limits of the precision of the system.
i.Show that 0.0100112 is the binary representation of 0.29687510
ii.A computer system allows only 4 binary digits after the decimal point. Write the two binary values with exactly 4 digits after the decimal point that ‘sandwich’ 0.0100112.
iii.Using the two binary ‘sandwich’ values that you found in (ii), write down the minimum and maximum binary values that sandwich the result of 0.0100112 + 0.0100112
iv.Convert each of the binary values you found in (iii) to decimal notation. Give the minimum and maximum values in decimal notation.
v.Calculate, in decimal, the value of 0.29687510 + 0.29687510 (Your answer is the actual value so it should not be rounded). By what percentage, rounded to the nearest whole percent, does the maximum value exceed the actual value? Your answer should show the actual value, the percentage and your workings for full marks.
(10 marks)
c.This question part is based on truth tables and assesses your ability to form logic expressions.During the Coronavirus pandemic in 2020, a supermarket puts restrictions on fruit and veg combinations that people can leave the supermarket with on a Thursday. In particular, for apples (A), bananas (B) and carrots (C), the following two rules are issued:
Rule 1: No apples allowed. (translated into the logic expression NOT A)
Rule 2: Bananas or carrots are allowed. (translated into the logic expression B OR C)
To avoid any misinterpretation, the rules have been translated into logic expressions (as shown above).
i.Complete the following truth table. In the final column, show purchases that are acceptable on a Thursday according to both Rule 1 and Rule 2.
ABCNOT AB OR CACCEPTABLE000001010011100101110111
ii.Find a logic expression which is logically equivalent to the logic expression A?B in the following table. (Here, A?B is a logic expression featuring a new operation that we have named ‘?’.) Follow the method that is described in Block 1 Part 1. To obtain the logic expression for A?B, first obtain the logic expressions for the relevant rows of the table below. Then construct the logic expression for A?B from that. For full marks, show your working.
ABA?BLogic expression001011100110
(6 marks)
(Total 22 marks)
This part of the question involves calculations. For full marks, you must include your workings and explanations.
Consider the following two processors:
Processor 1 has a clock speed of 4.0 GHz with 32 KiB of L1 cache.
Processor 2 has a clock speed of 2.0 GHz with 64 KiB of L1 cache.
In order to decide which to buy, you estimate the time each processor will take to load a program with 10,000 RISC instructions into the processor’s registers and the time to execute the instructions.
Each RISC instruction has a size of 4 bytes.
Each RISC instruction takes one clock pulse to execute once it is in the registers.
i.Show that a program consisting of 10,000 RISC instructions will fit into 64 KiB of L1 cache, but will not fit into 32 KiB of L1 cache.
ii.It takes 1 nanosecond (1 x 10-9 s) to move an instruction from L1 cache to the registers and 9 nanoseconds to move an instruction from L2 cache to the L1 cache. Assume that for Processor 2, all of the instructions can be found in L1 cache and for Processor 1, all of the instructions that won’t fit in L1 cache can be found in L2 cache. How much time is needed to load all 10,000 instructions into the registers for each processor? Write your answers in seconds, using scientific notation.
iii.For each processor, calculate the time it takes to execute 10,000 RISC instructions. You should not include the time to load the instructions into the registers here. Write your answers in seconds, using scientific notation.
Based on your answers to parts i and ii of this question, you should now be able to make an estimate of which processor is faster overall, although you don’t need to provide your estimate in answer to this question.
(12 marks)
A program is required to compare three numbers to see if any of them is equal to the product of the other two.
The program will take three integers, between 1 and 100 inclusive.
The program should output one of the following strings:
a = b * c
b = a * c
c = a * b
No number is the product of the others
You are given the following test data and an incomplete and error-filled program.
Test Number
Inputs
Expected Outputabc1623a = b * c2362b = a * c3326c = a * b4789No number is product of the others
# Problem: Check if any of three numbers is product of others # Input: a as an integer from 1 to 100 # Input: b as an integer from 1 to 100 # Input: c as an integer from 1 to 100 a = 6 b = 2 c = 3 # Output: answer, a string if a == b + c answer = 'a = b * c' if b == a * c answer = 'b = a * c' if c == a + b : answer = 'c = a * b' if (a != b * c) and (b != a * c) and (c != a * b): answer = 'No number is product of others' print (answer)
a.
i.What are the inputs and outputs of this problem and their types?
ii.What are the admissible values for the inputs?
(5 marks)
b.
i.What are the syntax errors in this program? Consider no other errors at this point.
ii.Once they are corrected, which of the above tests would the program still fail and why? Refer to test cases using their Test Number from the first column.
iii.Give an explanation for the choice of input values in the test table.
(8 marks)
Week 5 Statistical Significance & Meaningfulness on Sample Statements Paper
Part of your task as a scholar-practitioner is to act as a
critical consumer of research and ask informed ques ...
Week 5 Statistical Significance & Meaningfulness on Sample Statements Paper
Part of your task as a scholar-practitioner is to act as a
critical consumer of research and ask informed questions of published
material. Sometimes, claims are made that do not match the results of
the analysis. Unfortunately, this is why statistics is sometimes
unfairly associated with telling lies. These misalignments might not be
solely attributable to statistical nonsense, but also “user error.” One
of the greatest areas of user error is within the practice of hypothesis
testing and interpreting statistical significance. As you continue to
consume research, be sure and read everything with a critical eye and
call out statements that do not match the results.
For this Assignment, you will examine statistical significance and meaningfulness based on sample statements.To prepare for this Assignment:Review the Week 5 Scenarios found in this week’s Learning Resources and select two of the four scenarios for this Assignment. For additional support, review the Skill Builder: Evaluating P Values and the Skill Builder: Statistical Power,
which you can find by navigating back to your Blackboard Course Home
Page. From there, locate the Skill Builder link in the left navigation
pane. For this Assignment:Critically evaluate the two scenarios you selected based upon the following points:Critically evaluate the sample size.Critically evaluate the statements for meaningfulness.Critically evaluate the statements for statistical significance.Based on your evaluation, provide an explanation of the implications for social change.Use proper APA format and citations, and referencing.Week 5 Scenarios:1.The p-value was slightly above conventional threshold, but was described as “rapidly approaching significance” (i.e., p=.06). An independent samples t test was used to determine whether student satisfaction levels in a quantitative reasoning course differed between the traditional classroom and on-line environments.The samples consisted of students in four face-to-face classes at a traditional state university (n=65) and four online classes offered at the same university (n=69). Students reported their level of satisfaction on a five-point scale, with higher values indicating higher levels of satisfaction.Since the study was exploratory in nature, levels of significance were relaxed to the .10 level. The test was significant t(132) = 1.8, p= .074, wherein students in the face-to-face class reported lower levels of satisfaction (M= 3.39, SD= 1.8)than did those in the online sections (M= 3.89, SD= 1.4).We therefore conclude that on average, students in online quantitative reasoning classes have higher levels of satisfaction.The results of this study are significant because they provide educators with evidence of what medium works better in producing quantitatively knowledgeable practitioners.2.A results report that does not find any effect and also has small sample size (possibly no effect detected due to lack of power). A one-way analysis of variance was used to test whether a relationship exists between educational attainment and race. The dependent variable of education was measured as number of years of education completed. The race factor had three attributes of European American (n=36), African American (n=23) and Hispanic (n=18). Descriptive statistics indicate that on average, European Americans have higher levels of education (M=16.4, SD=4.6), with African Americans slightly trailing (M= 15.5, SD=6.8) and Hispanics having on average lower levels of educational attainment (M=13.3, SD=6.1). The ANOVA was not significant F(2,74) = 1.789, p= .175, indicating there are no differences in educational attainment across these three races in the population.The results of this study are significant because they shed light on the current social conversation about inequality. 3.Statistical significance is found in a study, but the effect in reality is very small (i.e., there was a very minor difference in attitude between men and women). Were the results meaningful?An independent samples t test was conducted to determine whether differences exist between men and women on cultural competency scores. The samples consisted of 663 women and 650 men taken from a convenience sample of public, private,and non-profit organizations. Each participant was administered an instrument that measured his or her current levels of cultural competency. The © 2016 Laureate Education, Inc. Page 2of 2cultural competency score ranges from 0 to 10,with higher scores indicating higher levels of cultural competency. The descriptive statistics indicate women have higher levels of cultural competency (M= 9.2, SD= 3.2) than men (M= 8.9, SD=2.1). The results were significant t(1311) = 2.0, p<.05, indicating that women are more culturally competent than are men. These results tell us that gender-specific interventions targeted toward men may assist in bolstering cultural competency. 4.A study has results that seem fine, but there is no clear association to social change. What is missing? A correlation test was conducted to determine whether a relationship exists between level of income and job satisfaction. The sample consisted of 432 employees equally represented across public, private,and non-profit sectors. The results of the test demonstrate a strong positive correlation between the two variables,r=.87, p<.01, showing that as level of income increases, job satisfaction increases as well.
62 pages
mathematical formula
This Mathematical Formulae handbook has been prepared in response to a request from the Physics Consultative Committee, wi ...
mathematical formula
This Mathematical Formulae handbook has been prepared in response to a request from the Physics Consultative Committee, with the hope that it will be useful to those studying physics. It is to some extent modelled on a similar document issued by the Department of Engineering, but obviously reflects the particular interests of physicists.
5 pages
Introstats
• The student will demonstrate the simple random, systematic, stratified, and cluster sampling techniques. • The stude ...
Introstats
• The student will demonstrate the simple random, systematic, stratified, and cluster sampling techniques. • The student will explain the details ...
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