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1. no. this is because the are not opposite to each other.
2. no. they should lie on a straight line
3. yes. because they add upto 180 degrees.
4. no, because they add upto 180 degrees
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MAT 144 Grand Canyon University San Diego Homelessness Mathematics Worksheet
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MAT 144 Grand Canyon University San Diego Homelessness Mathematics Worksheet
Help with assignment!Important key details:- my project will be helping the homeless providing them with sanitary/hygiene products/non perishable food/ clean under garments (socks underwear bras) etc. - my organization will take place in San Diego Ca.
San Jose City College MINITAB and Statistics One Way ANOVA Lab Report
In this lab, you will use One
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San Jose City College MINITAB and Statistics One Way ANOVA Lab Report
In this lab, you will use One
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the same average.
Southern New Hampshire University Week 3 Use of the Moore Law Questions
Hint: The chart is taken from https://ourworldindata.org/technological-progress.From the chart, estimate (roughly) the num ...
Southern New Hampshire University Week 3 Use of the Moore Law Questions
Hint: The chart is taken from https://ourworldindata.org/technological-progress.From the chart, estimate (roughly) the number of transistors per IC in 2012. Using your estimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?In some applications, the variable being studied increases so quickly ("exponentially") that a regular graph isn't informative. There, a regular graph would show data close to 0 and then a sudden spike at the very end. Instead, for these applications, we often use logarithmic scales. We replace the y-axis tick marks of 1, 2, 3, 4, etc. with y-axis tick marks of 101 = 10, 102 = 100, 103 = 1000, 104 = 10000, etc. In other words, the logarithms of the new tick marks are equally spaced.Technology is one area where progress is extraordinarily rapid. Moore's Law states that the progress of technology (measured in different ways) doubles every 2 years. A common example counts the number of transitors per integrated circuit. A regular y-axis scale is appropriate when a trend is linear, i.e. 100 transistors, 200 transistors, 300 transistors, 400 transistors, etc. However, technology actually increased at a much quicker pace such as 100 transistors,.1,000 transistors, 10,000 transistors, 100,000 transistors, etc.The following is a plot of the number of transistors per integrated circuit over the period 1971 - 2008 taken from https://ourworldindata.org/technological-progress (that site contains a lot of data, not just for technology). At first, this graph seems to show a steady progression until you look carefully at the y-axis ... it's not linear. From the graph, it seems that from 1971 to 1981 the number of transistors went from about 1,000 to 40,000. Moore's Law predicts that in 10 years, it would double 5 times, i.e. go from 1,000 to 32,000, and the actual values (using very rough estimates) seem to support this.The following is the same plot but with the common logarithm of the y-axis shown. You can see that log(y) goes up uniformly.Questions to be answered in your Brightspace Discussion:Part a: The number of transistors per IC in 1972 seems to be about 4,000 (a rough estimate by eye). Using this estimate and Moore's Law, what would you predict the number of transistors per IC to be 20 years later, in 1992?Prediction = Part b: From the chart, estimate (roughly) the number of transistors per IC in 2012. Using your estimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?Part c: Do you think that your prediction in Part b is believable? Why or why not? This is all the material that you will need. Please let me know if you have any questions.
Week 7 Assignment1: Repeated Measures ANOVA in SPSS
To prepareReview the datasets provided.Construct a research question based on one of those datasets.Pay attention to the a ...
Week 7 Assignment1: Repeated Measures ANOVA in SPSS
To prepareReview the datasets provided.Construct a research question based on one of those datasets.Pay attention to the assumptions of this test, and ask, “Does it make sense to interpret the mean of this dependent variable?”By Day 7The AssignmentUse SPSS to answer the research question you constructed. Then, compose a 1- to 2-paragraph analysis in APA format in which you answer the following questions:What is the null hypothesis for your question?What research design(s) would align with this question?What dependent variable was used and how is it measured?What independent variable is used and how is it measured?If you found significance, what is the strength of the effect?What is the answer to your research question?What are the possible implications of social change?Be sure to include your data output with your analysis. See page 996 in your Warner textbook for an excellent APA-compliant write-up of a repeated-measures ANOVA.
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Most Popular Content
MAT 144 Grand Canyon University San Diego Homelessness Mathematics Worksheet
Help with assignment!Important key details:- my project will be helping the homeless providing them with sanitary/hygiene ...
MAT 144 Grand Canyon University San Diego Homelessness Mathematics Worksheet
Help with assignment!Important key details:- my project will be helping the homeless providing them with sanitary/hygiene products/non perishable food/ clean under garments (socks underwear bras) etc. - my organization will take place in San Diego Ca.
San Jose City College MINITAB and Statistics One Way ANOVA Lab Report
In this lab, you will use One
Way Analysis of Variance Tests to determine whether 2 or more populations have
the same av ...
San Jose City College MINITAB and Statistics One Way ANOVA Lab Report
In this lab, you will use One
Way Analysis of Variance Tests to determine whether 2 or more populations have
the same average.
Southern New Hampshire University Week 3 Use of the Moore Law Questions
Hint: The chart is taken from https://ourworldindata.org/technological-progress.From the chart, estimate (roughly) the num ...
Southern New Hampshire University Week 3 Use of the Moore Law Questions
Hint: The chart is taken from https://ourworldindata.org/technological-progress.From the chart, estimate (roughly) the number of transistors per IC in 2012. Using your estimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?In some applications, the variable being studied increases so quickly ("exponentially") that a regular graph isn't informative. There, a regular graph would show data close to 0 and then a sudden spike at the very end. Instead, for these applications, we often use logarithmic scales. We replace the y-axis tick marks of 1, 2, 3, 4, etc. with y-axis tick marks of 101 = 10, 102 = 100, 103 = 1000, 104 = 10000, etc. In other words, the logarithms of the new tick marks are equally spaced.Technology is one area where progress is extraordinarily rapid. Moore's Law states that the progress of technology (measured in different ways) doubles every 2 years. A common example counts the number of transitors per integrated circuit. A regular y-axis scale is appropriate when a trend is linear, i.e. 100 transistors, 200 transistors, 300 transistors, 400 transistors, etc. However, technology actually increased at a much quicker pace such as 100 transistors,.1,000 transistors, 10,000 transistors, 100,000 transistors, etc.The following is a plot of the number of transistors per integrated circuit over the period 1971 - 2008 taken from https://ourworldindata.org/technological-progress (that site contains a lot of data, not just for technology). At first, this graph seems to show a steady progression until you look carefully at the y-axis ... it's not linear. From the graph, it seems that from 1971 to 1981 the number of transistors went from about 1,000 to 40,000. Moore's Law predicts that in 10 years, it would double 5 times, i.e. go from 1,000 to 32,000, and the actual values (using very rough estimates) seem to support this.The following is the same plot but with the common logarithm of the y-axis shown. You can see that log(y) goes up uniformly.Questions to be answered in your Brightspace Discussion:Part a: The number of transistors per IC in 1972 seems to be about 4,000 (a rough estimate by eye). Using this estimate and Moore's Law, what would you predict the number of transistors per IC to be 20 years later, in 1992?Prediction = Part b: From the chart, estimate (roughly) the number of transistors per IC in 2012. Using your estimate and Moore's Law, what would you predict the number of transistors per IC to be in 2040?Part c: Do you think that your prediction in Part b is believable? Why or why not? This is all the material that you will need. Please let me know if you have any questions.
Week 7 Assignment1: Repeated Measures ANOVA in SPSS
To prepareReview the datasets provided.Construct a research question based on one of those datasets.Pay attention to the a ...
Week 7 Assignment1: Repeated Measures ANOVA in SPSS
To prepareReview the datasets provided.Construct a research question based on one of those datasets.Pay attention to the assumptions of this test, and ask, “Does it make sense to interpret the mean of this dependent variable?”By Day 7The AssignmentUse SPSS to answer the research question you constructed. Then, compose a 1- to 2-paragraph analysis in APA format in which you answer the following questions:What is the null hypothesis for your question?What research design(s) would align with this question?What dependent variable was used and how is it measured?What independent variable is used and how is it measured?If you found significance, what is the strength of the effect?What is the answer to your research question?What are the possible implications of social change?Be sure to include your data output with your analysis. See page 996 in your Warner textbook for an excellent APA-compliant write-up of a repeated-measures ANOVA.
Statistical Significance
To prepare for this Discussion:Review the Learning Resources related to hypothesis testing, meaningfulness, and statistica ...
Statistical Significance
To prepare for this Discussion:Review the Learning Resources related to hypothesis testing, meaningfulness, and statistical significance.Review Magnusson’s web blog found in the Learning Resources to further your visualization and understanding of statistical power and significance testing.Review the American Statistical Association’s press release and consider the misconceptions and misuse of p-values.Consider the scenario:A research paper claims a meaningful contribution to the literature based on finding statistically significant relationships between predictor and response variables. In the footnotes, you see the following statement, “given this research was exploratory in nature, traditional levels of significance to reject the null hypotheses were relaxed to the .10 level.”By Day 3Post your response to the scenario in which you critically evaluate this footnote. As a reader/reviewer, what response would you provide to the authors about this footnote?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.
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