mathematics Locus of a Point
User Generated
pnzcoryy_fg
Mathematics
Description
2 tutors attempt to answer this with conflicting answers. i'd expect 2 linear answers
Find the equation of the locus of the point P that moves such that the distance from P to the line
3y - 4y + 1 = 0 and 12x + 5y + 3 = 0 is in the ratio 3:1
User generated content is uploaded by users for the purposes of learning and should be used following Studypool's honor code & terms of service.
This question has not been answered.
Create a free account to get help with this and any other question!
24/7 Homework Help
Stuck on a homework question? Our verified tutors can answer all questions, from basic math to advanced rocket science!
Most Popular Content
Res 710 discussion posts
PART 1. Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval can be enhanced by ...
Res 710 discussion posts
PART 1. Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval can be enhanced by increasing the sample size. Write a 250- to 300-word response to the following: What is the role of sample size in the calculation of confidence intervals? What factors might determine the size of an ideal sample in your dissertation study? Reference: Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: SAGE Publications, Inc. PART 2. Reply in 150 or more words Here is something I learned recently. I had a student who used a second party data collection cite. He received the data and sample size he needed but most of the data was filled out as all zeros or all 10s as the participant did not actually take the survey and just filled it out quickly. Do you think this data should count and what can we do if this occurs? PART 3 Write a 250- to 300-word response to the following: How can estimation errors threaten the validity of a study? Cite specific examples from your experience to support your response. PART 4 Reply In at least 150 words. When we look at estimating errors, this can be a key reflection of the validity of the sample data. For example, as systematic estimation errors increase validity decreases. Likewise, as systematic estimation errors decrease, validity increases. Why do you think that is?
6 pages
My Data For The Project
Changes in Online Grocery Shopping during the COVID-19 Pandemic The following are data collected from 37 people at my plac ...
My Data For The Project
Changes in Online Grocery Shopping during the COVID-19 Pandemic The following are data collected from 37 people at my place of work on much they spend
BMW Mini-Cooper 1500-2000 words
Third Individual Writing - Industrial Design Paper• The student should analyze the trademark issues facing industrialdes ...
BMW Mini-Cooper 1500-2000 words
Third Individual Writing - Industrial Design Paper• The student should analyze the trademark issues facing industrialdesign – BMW Mini-Cooper 4-door vs the Lifan 320– BMW Sells its Mini-Cooper 4-door in the US.– Assume that the Chinese auto manufacturer Lifan was selling its SUV in the US.– If BMW were claiming that Lifan infringes their trademark design in the US, would theywin?• Apply US Trademark Law in the context of sales / consumers in the U.S.• Format– Exec Summary / Main Body
Expected value, variance, and standard deviation of random variables
Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of r ...
Expected value, variance, and standard deviation of random variables
Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables
Moore College of Art and Design ANOVA F Test Using StatCrunch Project
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunc ...
Moore College of Art and Design ANOVA F Test Using StatCrunch Project
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test 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 discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the
frequency of the flicker is below a certain threshold, the eye detects
the flicker, and it is annoying!Different people have different flicker "threshold" frequencies (known as the critical flicker frequency, or CFF). The mean critical threshold frequency is important for product manufacturing as well as tests for ocular disease.In 1973, researchers conducted a study to answer the following question.Research question: Do people with different eye color have different threshold flicker sensitivity?The 1973 study ("The Effect of Iris Color on Critical Flicker Frequency," Journal of General Psychology [1973], 91–95) obtained the following data from a random sample of 19 subjects.
Color
ThresholdFrequency (CFF)
Blue
Brown
Green
Brown
26.8
25.7
26.8
26.4
Brown
27.9
27.2
27.9
24.2
Brown
23.7
29.9
23.7
28
Brown
25.0
28.5
25
26.9
Brown
26.3
29.4
26.3
29.1
Brown
24.8
28.3
24.8
Brown
25.7
25.7
Brown
24.5
24.5
Green
26.4
Green
24.2
Green
28.0
Green
26.9
Green
29.1
Blue
25.7
Blue
27.2
Blue
29.9
Blue
28.5
Blue
29.4
Blue
28.3
In this spreadsheet the data is presented in two formats.Stacked data: The quantitative data is stacked in one column. The first two columns show the data in a stacked format.
Each variable is a column (one column for the explanatory variable eye
color; one column for the response variable CFF) and each row is an
individual. For example, the first row is a brown-eyed person with a CFF
of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format.
In this format, each column is a group defined by a value of the
explanatory variable: one column for blue-eyed people, one column for
brown-eyed people and one column for green-eyed people. Each column
contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker. use the Data below PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters.
Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note:
To verify conditions, you will need to examine the distribution of CFF
scores for each sample (because the samples are small).
Use StatCrunch to create side-by-side dotplots, histograms or
boxplots (your choice) to examine the distribution of CFF scores for
each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data
in the the last three columns). To create the side-by-side graphs (for
either data format) see the list of StatCrunch directions below.
Download the StatCrunch output window (your graph), upload it to your Stats-Class
folder, and then embed the .png file (your graph) in your initial post.
To recall how to complete these tasks, see the list of StatCrunch
directions below.
You will also need to compare the sample standard deviations. Use
StatCrunch to find the summary statistics, means and standard deviations
for the comparison groups (select the the appropriate Descriptive
Statistics StatCrunch directions from the list below). Then copy and
paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.
Use StatCrunch to carry out the ANOVA F-test (select the appropriate
ANOVA StatCrunch directions from the following two options). Copy and paste the output table into your initial post.
State your conclusion in context of eye color and mean CFF.
Similar Content
simplify the expression
8(f+7)-2f-11...
California State University Abelian Group With Neutral Element Mathematics Questions
The required textbook for the course is A First Course in Abstract Algebra (7th edition) by John Fraleigh.
Complete using ...
can you please help with this
...
MAT 106 Lincoln University Mathematics Number Sets Worksheet
MAT - 106 - G1 Homework Spring 2021
Name____________________________________________________________________ Date:________...
BCC Statistics Covariance & Correlation Coefficient Problems
NAME
COURSE:
5% (awarded if you attempt all the problems)
Statistics
Final EXAM
Instructor:
Dan Sevall
Instructions:
...
need help with word problems
The winners store marked down a $96 cappuccino machine to $51. calculate the following ( if necessary, round your ans...
Trigonometry Answer
a) By the use of trigonometric ratios SOHCAHTOA (Nabie etl, 2018). Making s the subject of the formula (Wilson, 2016), we ...
Answer Objective
False (Its sign is changed i.e., positive to negative and negative to positive) False (It is not necessary that C is null....
Business Forecasting.edited
Forecasting is the act of predicting the future in a business field. On moving to new business areas, individuals may expe...
Related Tags
Book Guides
50 Shades of Grey
by E. L. James
Their Eyes Were Watching God
by Zora Neale Hurston
Blink
by Malcolm Gladwell
Twelve Years A Slave
by Solomon Northrup
The Power of Habit - Why We Do What We Do in Life and Business
by Charles Duhigg
The Outsiders
by S.E. Hinton
The Joy Luck Club
by Amy Tan
Treasure Island
by Robert Louis
100 Side Hustles
by Chris Guillebeau
Get 24/7
Homework help
Our tutors provide high quality explanations & answers.
Post question
Most Popular Content
Res 710 discussion posts
PART 1. Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval can be enhanced by ...
Res 710 discussion posts
PART 1. Frankfort-Nachmias and Leon-Guerrero (2018) noted that the precision of a confidence interval can be enhanced by increasing the sample size. Write a 250- to 300-word response to the following: What is the role of sample size in the calculation of confidence intervals? What factors might determine the size of an ideal sample in your dissertation study? Reference: Frankfort-Nachmias, C., & Leon-Guerrero, A. (2018). Social statistics for a diverse society (8th ed.). Thousand Oaks, CA: SAGE Publications, Inc. PART 2. Reply in 150 or more words Here is something I learned recently. I had a student who used a second party data collection cite. He received the data and sample size he needed but most of the data was filled out as all zeros or all 10s as the participant did not actually take the survey and just filled it out quickly. Do you think this data should count and what can we do if this occurs? PART 3 Write a 250- to 300-word response to the following: How can estimation errors threaten the validity of a study? Cite specific examples from your experience to support your response. PART 4 Reply In at least 150 words. When we look at estimating errors, this can be a key reflection of the validity of the sample data. For example, as systematic estimation errors increase validity decreases. Likewise, as systematic estimation errors decrease, validity increases. Why do you think that is?
6 pages
My Data For The Project
Changes in Online Grocery Shopping during the COVID-19 Pandemic The following are data collected from 37 people at my plac ...
My Data For The Project
Changes in Online Grocery Shopping during the COVID-19 Pandemic The following are data collected from 37 people at my place of work on much they spend
BMW Mini-Cooper 1500-2000 words
Third Individual Writing - Industrial Design Paper• The student should analyze the trademark issues facing industrialdes ...
BMW Mini-Cooper 1500-2000 words
Third Individual Writing - Industrial Design Paper• The student should analyze the trademark issues facing industrialdesign – BMW Mini-Cooper 4-door vs the Lifan 320– BMW Sells its Mini-Cooper 4-door in the US.– Assume that the Chinese auto manufacturer Lifan was selling its SUV in the US.– If BMW were claiming that Lifan infringes their trademark design in the US, would theywin?• Apply US Trademark Law in the context of sales / consumers in the U.S.• Format– Exec Summary / Main Body
Expected value, variance, and standard deviation of random variables
Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of r ...
Expected value, variance, and standard deviation of random variables
Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables Expected value, variance, and standard deviation of random variables
Moore College of Art and Design ANOVA F Test Using StatCrunch Project
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test using StatCrunc ...
Moore College of Art and Design ANOVA F Test Using StatCrunch Project
Learn by DoingThe purpose of this activity is to give you guided practice in carrying out the ANOVA F-test 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 discussion board exercises. A list of StatCrunch directions is provided at the bottom of this page.ContextCritical flicker frequency (CFF) and eye colorComputer screens and fluorescent bulbs flicker. If the
frequency of the flicker is below a certain threshold, the eye detects
the flicker, and it is annoying!Different people have different flicker "threshold" frequencies (known as the critical flicker frequency, or CFF). The mean critical threshold frequency is important for product manufacturing as well as tests for ocular disease.In 1973, researchers conducted a study to answer the following question.Research question: Do people with different eye color have different threshold flicker sensitivity?The 1973 study ("The Effect of Iris Color on Critical Flicker Frequency," Journal of General Psychology [1973], 91–95) obtained the following data from a random sample of 19 subjects.
Color
ThresholdFrequency (CFF)
Blue
Brown
Green
Brown
26.8
25.7
26.8
26.4
Brown
27.9
27.2
27.9
24.2
Brown
23.7
29.9
23.7
28
Brown
25.0
28.5
25
26.9
Brown
26.3
29.4
26.3
29.1
Brown
24.8
28.3
24.8
Brown
25.7
25.7
Brown
24.5
24.5
Green
26.4
Green
24.2
Green
28.0
Green
26.9
Green
29.1
Blue
25.7
Blue
27.2
Blue
29.9
Blue
28.5
Blue
29.4
Blue
28.3
In this spreadsheet the data is presented in two formats.Stacked data: The quantitative data is stacked in one column. The first two columns show the data in a stacked format.
Each variable is a column (one column for the explanatory variable eye
color; one column for the response variable CFF) and each row is an
individual. For example, the first row is a brown-eyed person with a CFF
of 26.8.Unstacked data: The quantitative data is distributed across the groups in multiple columns. The last three columns show the same data in an unstacked format.
In this format, each column is a group defined by a value of the
explanatory variable: one column for blue-eyed people, one column for
brown-eyed people and one column for green-eyed people. Each column
contains the response values (CFF) for that group.The format of the data in the spreadsheet affects how we use StatCrunch to analyze it.VariablesColor: This is the explanatory variable. The categorical data represents the groups we will compare.CFF (flicker threshold sensitivity): This is the response variable. The quantitative data represents the frequency threshold at which the subject sees the flicker. use the Data below PromptWe will conduct an ANOVA F-test for the variables Color and CFF. The flicker datafile is available in the Data section below. Also, the StatCrunch directions are provided in the list a the bottom of this page.What are the hypotheses for the ANOVA test? Be sure that you define clearly the parameters.
Are the conditions that allow us to safely use the ANOVA F-test met? Explain.Note:
To verify conditions, you will need to examine the distribution of CFF
scores for each sample (because the samples are small).
Use StatCrunch to create side-by-side dotplots, histograms or
boxplots (your choice) to examine the distribution of CFF scores for
each sample. You can use either data format; choose one (stacked data in the first two columns; or unstacked data
in the the last three columns). To create the side-by-side graphs (for
either data format) see the list of StatCrunch directions below.
Download the StatCrunch output window (your graph), upload it to your Stats-Class
folder, and then embed the .png file (your graph) in your initial post.
To recall how to complete these tasks, see the list of StatCrunch
directions below.
You will also need to compare the sample standard deviations. Use
StatCrunch to find the summary statistics, means and standard deviations
for the comparison groups (select the the appropriate Descriptive
Statistics StatCrunch directions from the list below). Then copy and
paste the table into your initial post and explain how the rule of thumb for comparing standard deviations is met.
Use StatCrunch to carry out the ANOVA F-test (select the appropriate
ANOVA StatCrunch directions from the following two options). Copy and paste the output table into your initial post.
State your conclusion in context of eye color and mean CFF.
Earn money selling
your Study Documents