Description
The Assignment
Based on the research question you created, complete the following tasks:
- Fit a multiple regression model, testing whether a mediating variable partly or completely mediates the effect of an initial causal variable on an outcome variable. Think about whether or not the model will meet assumptions.
- Fit the model, testing for mediation between two key variables.
- Analyze the output, determining whether mediation was significant and how to interpret that result.
- Reflect on possible implications of social change.
Write a 1- to 2-paragraph analysis in APA format that includes your data output and addresses each of the tasks listed above. See pages 683 and 684 in your Warner textbook for an excellent APA-compliant write-up of a mediation analysis.
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MATH145 Unit 3 Algebra Problem Situation Maximum Storage Area Project
Problem Situation:A construction company wishes to build a rectangular enclosure to store machinery and equipment. The sit ...
MATH145 Unit 3 Algebra Problem Situation Maximum Storage Area Project
Problem Situation:A construction company wishes to build a rectangular enclosure to store machinery and equipment. The site selected borders on a river that will be used as one of the sides of the rectangle. Fencing will be needed to form the other three sides. The company has 682 feet of 10-foot high chain-link fencing. The questions that follow should help you determine the dimensions of the rectangle that will produce the maximum area for the storage site. Assume that the company wishes to use all of the fencing, and that “width” refers to the measure of each of the two sides that are perpendicular to the river, and “length” refers to the measure of the side parallel to the river (see diagram). For the questions that follow, all measurement answers are to be given with the correct unit label, e.g. feet, square feet, etc. All of the questions are in the file
8 pages
Stat 200 Solution
According to the February 2008 Federal Trade Commission report on consumer fraud and identity theft, 23% of all complaints ...
Stat 200 Solution
According to the February 2008 Federal Trade Commission report on consumer fraud and identity theft, 23% of all complaints in 2007 were for identity ...
SNHU Median Housing Price Prediction Model for DM Pan Real Estate Company Plan
This assignment is an analysis on Real Estate Data. Attached is the Rubric along with the required documents
SNHU Median Housing Price Prediction Model for DM Pan Real Estate Company Plan
This assignment is an analysis on Real Estate Data. Attached is the Rubric along with the required documents
statistics ques
10.1.2Table
#10.1.6 contains the value of the house and the amount of rental income
in a year that the house brings in ...
statistics ques
10.1.2Table
#10.1.6 contains the value of the house and the amount of rental income
in a year that the house brings in ("Capital and rental," 2013). Create
a scatter plot and find a regression equation between house value and
rental income. Then use the regression equation to find the rental
income a house worth $230,000 and for a house worth $400,000. Which
rental income that you calculated do you think is closer to the true
rental income? Why?Table #10.1.6: Data of House Value versus Rental Value Rental Value Rental Value Rental Value Rental 81000 6656 77000 4576 75000 7280 67500 6864 95000 7904 94000 8736 90000 6240 85000 7072 121000 12064 115000 7904 110000 7072 104000 7904 135000 8320 130000 9776 126000 6240 125000 7904 145000 8320 140000 9568 140000 9152 135000 7488 165000 13312 165000 8528 155000 7488 148000 8320 178000 11856 174000 10400 170000 9568 170000 12688 200000 12272 200000 10608 194000 11232 190000 8320 214000 8528 208000 10400 200000 10400 200000 8320 240000 10192 240000 12064 240000 11648 225000 12480 289000 11648 270000 12896 262000 10192 244500 11232 325000 12480 310000 12480 303000 12272 300000 12480 10.1.4The
World Bank collected data on the percentage of GDP that a country
spends on health expenditures ("Health expenditure," 2013) and also the
percentage of woman receiving prenatal care ("Pregnant woman receiving,"
2013). The data for the countries where this information are available
for the year 2011 is in table #10.1.8. Create a scatter plot of the data
and find a regression equation between percentage spent on health
expenditure and the percentage of woman receiving prenatal care. Then
use the regression equation to find the percent of woman receiving
prenatal care for a country that spends 5.0% of GDP on health
expenditure and for a country that spends 12.0% of GDP. Which prenatal
care percentage that you calculated do you think is closer to the true
percentage? Why? Table #10.1.8: Data of Heath Expenditure versus Prenatal Care HealthExpenditure(% of GDP) PrenatalCare (%) 9.6 47.9 3.7 54.6 5.2 93.7 5.2 84.7 10.0 100.0 4.7 42.5 4.8 96.4 6.0 77.1 5.4 58.3 4.8 95.4 4.1 78.0 6.0 93.3 9.5 93.3 6.8 93.7 6.1 89.8 For
each problem, state the random variables. Also, look to see if there
are any outliers that need to be removed. Do the correlation analysis
with and without the suspected outlier points to determine if their
removal affects the correlation. The data sets in this section are in
section 10.1.10.2.2Table
#10.1.6 (from problem 10.1.2) contains the value of the house and the
amount of rental income in a year that the house brings in ("Capital and
rental," 2013). Find the correlation coefficient and coefficient of
determination and then interpret both.10.2.4The
World Bank collected data on the percentage of GDP that a country
spends on health expenditures ("Health expenditure," 2013) and also the
percentage of woman receiving prenatal care ("Pregnant woman receiving,"
2013). The data for the countries where this information is available
for the year 2011 are in table #10.1.8 (from problem 10.1.4). Find the
correlation coefficient and coefficient of determination and then
interpret both.For each problem, state the random
variables. The data sets in this section are in the homework for section
10.1 and were also used in section 10.2. If you removed any data points
as outliers in the other sections, remove them in this sections
homework too.10.3.2Table
#10.1.6 (from problem 10.1.2) contains the value of the house and the
amount of rental income in a year that the house brings in ("Capital and
rental," 2013).a.) Test at the 5% level for a positive correlation between house value and rental amount.b.) Find the standard error of the estimate.c.) Compute a 95% prediction interval for the rental income on a house worth $230,000.10.3.4The
World Bank collected data on the percentage of GDP that a country
spends on health expenditures ("Health expenditure," 2013) and also the
percentage of woman receiving prenatal care ("Pregnant woman receiving,"
2013). The data for the countries where this information is available
for the year 2011 are in table #10.1.8 (from problem 10.1.4).a.)
Test at the 5% level for a correlation between percentage spent on
health expenditure and the percentage of woman receiving prenatal care.b.) Find the standard error of the estimate.c.)
Compute a 95% prediction interval for the percentage of woman receiving
prenatal care for a country that spends 5.0 % of GDP on health
expenditure.In each problem show all steps of the
hypothesis test. If some of the assumptions are not met, note that the
results of the test may not be correct and then continue the process of
the hypothesis test.11.1.2Researchers
watched groups of dolphins off the coast of Ireland in 1998 to
determine what activities the dolphins partake in at certain times of
the day ("Activities of dolphin," 2013). The numbers in table #11.1.6
represent the number of groups of dolphins that were partaking in an
activity at certain times of days. Is there enough evidence to show that
the activity and the time period are independent for dolphins? Test at
the 1% level. Table #11.1.6: Dolphin Activity Activity Period RowTotal Morning Noon Afternoon Evening Travel 6 6 14 13 39 Feed 28 4 0 56 88 Social 38 5 9 10 62 ColumnTotal 72 15 23 79 189 11.1.4A
person’s educational attainment and age group was collected by the U.S.
Census Bureau in 1984 to see if age group and educational attainment
are related. The counts in thousands are in table #11.1.8 ("Education by
age," 2013). Do the data show that educational attainment and age are
independent? Test at the 5% level.Table #11.1.8: Educational Attainment and Age Group Education Age Group RowTotal 25-34 35-44 45-54 55-64 >64 Did not completeHS 5416 5030 5777 7606 13746 37575 CompletedHS 16431 1855 9435 8795 7558 44074 College 1-3year 8555 5576 3124 2524 2503 22282 College 4 or more years 9771 7596 3904 3109 2483 26863 ColumnTotal 40173 20057 22240 22034 26290 130794 In
each problem show all steps of the hypothesis test. If some of the
assumptions are not met, note that the results of the test may not be
correct and then continue the process of the hypothesis test.11.2.4In
Africa in 2011, the number of deaths of a female from cardiovascular
disease for different age groups are in table #11.2.6 ("Global health
observatory," 2013). In addition, the proportion of deaths of females
from all causes for the same age groups are also in table #11.2.6. Do
the data show that the death from cardiovascular disease are in the same
proportion as all deaths for the different age groups? Test at the 5%
level.Table #11.2.6: Deaths of Females for Different Age Groups Age 5-14 15-29 30-49 50-69 Total Cardiovascular Frequency 8 16 56 433 513 All Cause Proportion 0.10 0.12 0.26 0.52 11.2.6A
project conducted by the Australian Federal Office of Road Safety asked
people many questions about their cars. One question was the reason
that a person chooses a given car, and that data is in table #11.2.8
("Car preferences," 2013).Table #11.2.8: Reason for Choosing a Car Safety Reliability Cost Performance Comfort Looks 84 62 46 34 47 27 Do
the data show that the frequencies observed substantiate the claim that
the reason for choosing a car are equally likely? Test at the 5% level.
Grossmont College Proportion & Probability Worksheet
Variables
Math: Math SAT score
Verbal: Verbal SAT score
Credits: Number of credits the student is registered for
...
Grossmont College Proportion & Probability Worksheet
Variables
Math: Math SAT score
Verbal: Verbal SAT score
Credits: Number of credits the student is registered for
Year: Year in college (1=Freshman, 2=Sophomore, 3=Junior, 4=Senior)
Exercise: Time (in minutes) spent exercising in a typical day
Sleep: Time (in hours) spent sleeping in a typical day
Veg: Are you a vegetarian (yes, no, some)
Cell: Do you own a smart phone (yes, no)
Data
If you have not done so already, download the cell-phones datafile. As always, if you are prompted to login, just close the prompt and continue with the download.
Upload the datafile into StatCrunch. Note: the symbol * in the spreadsheet indicates a missing value; this means that the associated individual did not answer the question.
Context
In 2015 college students at a large state university completed a survey about their academic and personal life. Questions ranged from "How many credits are you registered for this semester?" to "Would you define yourself as a vegetarian?"
The researcher randomly selected 325 students from the university; 312 responded to the survey.
Prompt
The cell-phone datafile is available in the Data section below.
Once again, here is the research question for this lab.
Based on a recent study, roughly 80% of college students in the U.S. own a smartphone. Is the proportion of smartphone owners lower at this university?
Respond to each of the following in your initial post.
State your hypotheses in symbolic form and in words. (The following should be clear in your answer: the population of interest and the meaning of the proportion p in terms of the variable Cell.)
StatCrunch uses a normal model to estimate the P-value probability. Verify that normality conditions are met.
Use StatCrunch to conduct the hypothesis test. (directions)
Copy and paste the results (the StatCrunch output window) into your initial post.
Give your P-value and interpret its meaning as a conditional probability.
State a conclusion that answers the research question. Use a significance level of 5%. (Your answer should include the P-value and reference the population and the variable Cell.)
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MATH145 Unit 3 Algebra Problem Situation Maximum Storage Area Project
Problem Situation:A construction company wishes to build a rectangular enclosure to store machinery and equipment. The sit ...
MATH145 Unit 3 Algebra Problem Situation Maximum Storage Area Project
Problem Situation:A construction company wishes to build a rectangular enclosure to store machinery and equipment. The site selected borders on a river that will be used as one of the sides of the rectangle. Fencing will be needed to form the other three sides. The company has 682 feet of 10-foot high chain-link fencing. The questions that follow should help you determine the dimensions of the rectangle that will produce the maximum area for the storage site. Assume that the company wishes to use all of the fencing, and that “width” refers to the measure of each of the two sides that are perpendicular to the river, and “length” refers to the measure of the side parallel to the river (see diagram). For the questions that follow, all measurement answers are to be given with the correct unit label, e.g. feet, square feet, etc. All of the questions are in the file
8 pages
Stat 200 Solution
According to the February 2008 Federal Trade Commission report on consumer fraud and identity theft, 23% of all complaints ...
Stat 200 Solution
According to the February 2008 Federal Trade Commission report on consumer fraud and identity theft, 23% of all complaints in 2007 were for identity ...
SNHU Median Housing Price Prediction Model for DM Pan Real Estate Company Plan
This assignment is an analysis on Real Estate Data. Attached is the Rubric along with the required documents
SNHU Median Housing Price Prediction Model for DM Pan Real Estate Company Plan
This assignment is an analysis on Real Estate Data. Attached is the Rubric along with the required documents
statistics ques
10.1.2Table
#10.1.6 contains the value of the house and the amount of rental income
in a year that the house brings in ...
statistics ques
10.1.2Table
#10.1.6 contains the value of the house and the amount of rental income
in a year that the house brings in ("Capital and rental," 2013). Create
a scatter plot and find a regression equation between house value and
rental income. Then use the regression equation to find the rental
income a house worth $230,000 and for a house worth $400,000. Which
rental income that you calculated do you think is closer to the true
rental income? Why?Table #10.1.6: Data of House Value versus Rental Value Rental Value Rental Value Rental Value Rental 81000 6656 77000 4576 75000 7280 67500 6864 95000 7904 94000 8736 90000 6240 85000 7072 121000 12064 115000 7904 110000 7072 104000 7904 135000 8320 130000 9776 126000 6240 125000 7904 145000 8320 140000 9568 140000 9152 135000 7488 165000 13312 165000 8528 155000 7488 148000 8320 178000 11856 174000 10400 170000 9568 170000 12688 200000 12272 200000 10608 194000 11232 190000 8320 214000 8528 208000 10400 200000 10400 200000 8320 240000 10192 240000 12064 240000 11648 225000 12480 289000 11648 270000 12896 262000 10192 244500 11232 325000 12480 310000 12480 303000 12272 300000 12480 10.1.4The
World Bank collected data on the percentage of GDP that a country
spends on health expenditures ("Health expenditure," 2013) and also the
percentage of woman receiving prenatal care ("Pregnant woman receiving,"
2013). The data for the countries where this information are available
for the year 2011 is in table #10.1.8. Create a scatter plot of the data
and find a regression equation between percentage spent on health
expenditure and the percentage of woman receiving prenatal care. Then
use the regression equation to find the percent of woman receiving
prenatal care for a country that spends 5.0% of GDP on health
expenditure and for a country that spends 12.0% of GDP. Which prenatal
care percentage that you calculated do you think is closer to the true
percentage? Why? Table #10.1.8: Data of Heath Expenditure versus Prenatal Care HealthExpenditure(% of GDP) PrenatalCare (%) 9.6 47.9 3.7 54.6 5.2 93.7 5.2 84.7 10.0 100.0 4.7 42.5 4.8 96.4 6.0 77.1 5.4 58.3 4.8 95.4 4.1 78.0 6.0 93.3 9.5 93.3 6.8 93.7 6.1 89.8 For
each problem, state the random variables. Also, look to see if there
are any outliers that need to be removed. Do the correlation analysis
with and without the suspected outlier points to determine if their
removal affects the correlation. The data sets in this section are in
section 10.1.10.2.2Table
#10.1.6 (from problem 10.1.2) contains the value of the house and the
amount of rental income in a year that the house brings in ("Capital and
rental," 2013). Find the correlation coefficient and coefficient of
determination and then interpret both.10.2.4The
World Bank collected data on the percentage of GDP that a country
spends on health expenditures ("Health expenditure," 2013) and also the
percentage of woman receiving prenatal care ("Pregnant woman receiving,"
2013). The data for the countries where this information is available
for the year 2011 are in table #10.1.8 (from problem 10.1.4). Find the
correlation coefficient and coefficient of determination and then
interpret both.For each problem, state the random
variables. The data sets in this section are in the homework for section
10.1 and were also used in section 10.2. If you removed any data points
as outliers in the other sections, remove them in this sections
homework too.10.3.2Table
#10.1.6 (from problem 10.1.2) contains the value of the house and the
amount of rental income in a year that the house brings in ("Capital and
rental," 2013).a.) Test at the 5% level for a positive correlation between house value and rental amount.b.) Find the standard error of the estimate.c.) Compute a 95% prediction interval for the rental income on a house worth $230,000.10.3.4The
World Bank collected data on the percentage of GDP that a country
spends on health expenditures ("Health expenditure," 2013) and also the
percentage of woman receiving prenatal care ("Pregnant woman receiving,"
2013). The data for the countries where this information is available
for the year 2011 are in table #10.1.8 (from problem 10.1.4).a.)
Test at the 5% level for a correlation between percentage spent on
health expenditure and the percentage of woman receiving prenatal care.b.) Find the standard error of the estimate.c.)
Compute a 95% prediction interval for the percentage of woman receiving
prenatal care for a country that spends 5.0 % of GDP on health
expenditure.In each problem show all steps of the
hypothesis test. If some of the assumptions are not met, note that the
results of the test may not be correct and then continue the process of
the hypothesis test.11.1.2Researchers
watched groups of dolphins off the coast of Ireland in 1998 to
determine what activities the dolphins partake in at certain times of
the day ("Activities of dolphin," 2013). The numbers in table #11.1.6
represent the number of groups of dolphins that were partaking in an
activity at certain times of days. Is there enough evidence to show that
the activity and the time period are independent for dolphins? Test at
the 1% level. Table #11.1.6: Dolphin Activity Activity Period RowTotal Morning Noon Afternoon Evening Travel 6 6 14 13 39 Feed 28 4 0 56 88 Social 38 5 9 10 62 ColumnTotal 72 15 23 79 189 11.1.4A
person’s educational attainment and age group was collected by the U.S.
Census Bureau in 1984 to see if age group and educational attainment
are related. The counts in thousands are in table #11.1.8 ("Education by
age," 2013). Do the data show that educational attainment and age are
independent? Test at the 5% level.Table #11.1.8: Educational Attainment and Age Group Education Age Group RowTotal 25-34 35-44 45-54 55-64 >64 Did not completeHS 5416 5030 5777 7606 13746 37575 CompletedHS 16431 1855 9435 8795 7558 44074 College 1-3year 8555 5576 3124 2524 2503 22282 College 4 or more years 9771 7596 3904 3109 2483 26863 ColumnTotal 40173 20057 22240 22034 26290 130794 In
each problem show all steps of the hypothesis test. If some of the
assumptions are not met, note that the results of the test may not be
correct and then continue the process of the hypothesis test.11.2.4In
Africa in 2011, the number of deaths of a female from cardiovascular
disease for different age groups are in table #11.2.6 ("Global health
observatory," 2013). In addition, the proportion of deaths of females
from all causes for the same age groups are also in table #11.2.6. Do
the data show that the death from cardiovascular disease are in the same
proportion as all deaths for the different age groups? Test at the 5%
level.Table #11.2.6: Deaths of Females for Different Age Groups Age 5-14 15-29 30-49 50-69 Total Cardiovascular Frequency 8 16 56 433 513 All Cause Proportion 0.10 0.12 0.26 0.52 11.2.6A
project conducted by the Australian Federal Office of Road Safety asked
people many questions about their cars. One question was the reason
that a person chooses a given car, and that data is in table #11.2.8
("Car preferences," 2013).Table #11.2.8: Reason for Choosing a Car Safety Reliability Cost Performance Comfort Looks 84 62 46 34 47 27 Do
the data show that the frequencies observed substantiate the claim that
the reason for choosing a car are equally likely? Test at the 5% level.
Grossmont College Proportion & Probability Worksheet
Variables
Math: Math SAT score
Verbal: Verbal SAT score
Credits: Number of credits the student is registered for
...
Grossmont College Proportion & Probability Worksheet
Variables
Math: Math SAT score
Verbal: Verbal SAT score
Credits: Number of credits the student is registered for
Year: Year in college (1=Freshman, 2=Sophomore, 3=Junior, 4=Senior)
Exercise: Time (in minutes) spent exercising in a typical day
Sleep: Time (in hours) spent sleeping in a typical day
Veg: Are you a vegetarian (yes, no, some)
Cell: Do you own a smart phone (yes, no)
Data
If you have not done so already, download the cell-phones datafile. As always, if you are prompted to login, just close the prompt and continue with the download.
Upload the datafile into StatCrunch. Note: the symbol * in the spreadsheet indicates a missing value; this means that the associated individual did not answer the question.
Context
In 2015 college students at a large state university completed a survey about their academic and personal life. Questions ranged from "How many credits are you registered for this semester?" to "Would you define yourself as a vegetarian?"
The researcher randomly selected 325 students from the university; 312 responded to the survey.
Prompt
The cell-phone datafile is available in the Data section below.
Once again, here is the research question for this lab.
Based on a recent study, roughly 80% of college students in the U.S. own a smartphone. Is the proportion of smartphone owners lower at this university?
Respond to each of the following in your initial post.
State your hypotheses in symbolic form and in words. (The following should be clear in your answer: the population of interest and the meaning of the proportion p in terms of the variable Cell.)
StatCrunch uses a normal model to estimate the P-value probability. Verify that normality conditions are met.
Use StatCrunch to conduct the hypothesis test. (directions)
Copy and paste the results (the StatCrunch output window) into your initial post.
Give your P-value and interpret its meaning as a conditional probability.
State a conclusion that answers the research question. Use a significance level of 5%. (Your answer should include the P-value and reference the population and the variable Cell.)
Earn money selling
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