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Car A travels an at average speed of 65 miles per hour. Car B travels at an average speed of 45 miles per hour. In the time it takes car B to travel a certain distance d, car A travels 180 miles farther. Find the distance that each car travels and the time of its trip.
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University of California Los Angeles Statistics Question
Hypothesis testing is used in business to test assumptions and theories. These assumptions are tested against evidence pro ...
University of California Los Angeles Statistics Question
Hypothesis testing is used in business to test assumptions and theories. These assumptions are tested against evidence provided by actual, observed data. A statistical hypothesis is a statement about the value of a population parameter that we are interested in. Hypothesis testing is a process followed to arrive at a decision between 2 competing, mutually exclusive, collective exhaustive statements about the parameter’s value.Consider the following scenario: An industrial seller of grass seeds packages its product in 50-pound bags. A customer has recently filed a complained alleging that the bags are underfilled. A production manager randomly samples a batch and measures the following weights:Weight, (lbs)45.6 49.547.7 46.747.6 48.850.5 48.650.2 51.546.9 50.247.8 49.949.3 49.853.1 49.349.5 50.1To determine whether the bags are indeed being underfilled by the machinery, the manager must conduct a test of mean with a significance level α = 0.05.In a minimum of 175 words, respond to the following:State appropriate null (Ho) and alternative (H1) hypotheses.What is the critical value if we work with a significant level α = 0.05?What is the decision rule?Calculate the test statistic.Are the bags indeed being underfilled?Should machinery be recalibrated?
Testing for One-Way ANOVA
For this Assignment, you will examine the one-way ANOVA based on a research question.To prepare for this Assignment:Review ...
Testing for One-Way ANOVA
For this Assignment, you will examine the one-way ANOVA based on a research question.To prepare for this Assignment:Review this week’s Learning Resources and media program related to one-way ANOVA testing.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.Based on the dataset you chose, construct a research question that can be answered with a one-way ANOVA.Once you perform your one-way ANOVA analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Assignment:Write a 2- to 3-paragraph analysis of your one-way ANOVA results for your research question. Include any post-hoc tests with an analysis of the strength of any relationship found (effect size). Also, in your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.
University of Texas at Arlington Statistics LOS and Visitor Frequency Questions
Homework 3Homework 3 focuses on the application of concepts addressed in Exercises 13 and 28. Homework 3 is due SUNDAY at ...
University of Texas at Arlington Statistics LOS and Visitor Frequency Questions
Homework 3Homework 3 focuses on the application of concepts addressed in Exercises 13 and 28. Homework 3 is due SUNDAY at 11:59pm.Homework 3 involves survey data from the Centers for Disease Control (CDC) that focused on residential care facilities in the United States in 2010 (CDC, 2010). Residential care facilities primarily consist of persons in assisted living communities who receive housing and supportive services because they cannot live independently but generally do not require the skilled level of care provided by nursing homes. The focus of the first national study of acute care use in residential care facilities by Kahveci and Cipher (2014) was on acute care use (emergency department visits and hospitalizations) among persons in various disease categories, and information regarding the residents’ length of stay and visitor frequency was also collected. Length of stay in the facility was coded as 1 =0 to 3 months; 2 =3 to 6 months; 3= 6 months to a year; 4= 1 to 3 years; 5 =3 to 5 years; 6 =More than 5 years. Visitor frequency was coded as 1 =Every day; 2 =At least several times a week; 3 =About once a week; 4 =Several times in past month; 5 =At least once in past month; 6 =Not at all in the last 30 days. Therefore, higher values of the length of stay variable represent longer stays in the facility. Higher values of visitor frequency represent fewer visitor frequencies, which are considered inverse scoring.The null hypothesis is “There is no correlation between length of stay and visitor frequency among residents of residential care facilities.” The data are presented in HW3.sav. A subset of 15 residents was randomly selected for this example so that the computations would be small and manageable. In actuality, studies involving Pearson correlations need to be adequately powered (Aberson, 2010; Cohen, 1988) and in the case of CDC survey data, adjusted for complex sampling. Download the file: HW3.savOpen in SPSS. Use the dataset to answer the following questions.Calculate the Pearson r between LOS and visitor frequency, using the formula presented in Exercise 28. List the SOLVED numerator and the denominator. See attached for starter calculations. HW3 Starter Calculations.xlsxCompute the Pearson r with SPSS. Paste the correlation matrix table into your homework.What was the exact likelihood of obtaining the r value at least as extreme or as close to the one that was actually observed, assuming that the null hypothesis is true? (this question is asking you for the exact p value, converted to a percentage.) How would you characterize the magnitude of the effect between length of stay and visitor frequency? Refer to Table 28-1 for the size of the effect. State your rationale. Write your interpretation of the results, as you would in an APA-formatted journal. Remember that visitor frequency is REVERSE coded, with larger values represented FEWER visitors.Help for Homework 3:Please watch my video ‘What is a p value‘ in Module 2. When comparing the obtained r to the tabled r, the obtained must be higher than the tabled r to achieve significance. The other way to determine significance is to look at the exact p value presented in statistical software output. If the exact p is LESS THAN .05 thenthe result is significant.
Statistics help
When one thinks of the normal distribution, the first thing that comes to mind is the bell curve and grades. While this is ...
Statistics help
When one thinks of the normal distribution, the first thing that comes to mind is the bell curve and grades. While this is one example of a normal curve that is widely recognized, it is not the only one. Come up with a unique normal distribution from literature that your classmates have not posted about already. Explain your normal curve with items such as the mean and standard deviation. What do the areas in the intervals µ - σ to µ + σ, µ - 2σ to µ + 2σ and µ - 3σ to µ + 3σ represent as far as areas under the normal curve? With the mean and standard deviation, calculate what the actual intervals are for your normal curve. Please include any citations regarding where you obtained the data for your curve.
6 pages
Attachment 1 1
➢ In this study, data of a sample size of 4434 participants ➢Larger variation was observed in the amount of serum Note ...
Attachment 1 1
➢ In this study, data of a sample size of 4434 participants ➢Larger variation was observed in the amount of serum Note: Red highlight in p-value ...
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University of California Los Angeles Statistics Question
Hypothesis testing is used in business to test assumptions and theories. These assumptions are tested against evidence pro ...
University of California Los Angeles Statistics Question
Hypothesis testing is used in business to test assumptions and theories. These assumptions are tested against evidence provided by actual, observed data. A statistical hypothesis is a statement about the value of a population parameter that we are interested in. Hypothesis testing is a process followed to arrive at a decision between 2 competing, mutually exclusive, collective exhaustive statements about the parameter’s value.Consider the following scenario: An industrial seller of grass seeds packages its product in 50-pound bags. A customer has recently filed a complained alleging that the bags are underfilled. A production manager randomly samples a batch and measures the following weights:Weight, (lbs)45.6 49.547.7 46.747.6 48.850.5 48.650.2 51.546.9 50.247.8 49.949.3 49.853.1 49.349.5 50.1To determine whether the bags are indeed being underfilled by the machinery, the manager must conduct a test of mean with a significance level α = 0.05.In a minimum of 175 words, respond to the following:State appropriate null (Ho) and alternative (H1) hypotheses.What is the critical value if we work with a significant level α = 0.05?What is the decision rule?Calculate the test statistic.Are the bags indeed being underfilled?Should machinery be recalibrated?
Testing for One-Way ANOVA
For this Assignment, you will examine the one-way ANOVA based on a research question.To prepare for this Assignment:Review ...
Testing for One-Way ANOVA
For this Assignment, you will examine the one-way ANOVA based on a research question.To prepare for this Assignment:Review this week’s Learning Resources and media program related to one-way ANOVA testing.Using the SPSS software, open the Afrobarometer dataset or the High School Longitudinal Study dataset (whichever you choose) found in the Learning Resources for this week.Based on the dataset you chose, construct a research question that can be answered with a one-way ANOVA.Once you perform your one-way ANOVA analysis, review Chapter 11 of the Wagner text to understand how to copy and paste your output into your Word document.For this Assignment:Write a 2- to 3-paragraph analysis of your one-way ANOVA results for your research question. Include any post-hoc tests with an analysis of the strength of any relationship found (effect size). Also, in your analysis, display the data for the output. Based on your results, provide an explanation of what the implications of social change might be.Use proper APA format, citations, and referencing for your analysis, research question, and display of output.
University of Texas at Arlington Statistics LOS and Visitor Frequency Questions
Homework 3Homework 3 focuses on the application of concepts addressed in Exercises 13 and 28. Homework 3 is due SUNDAY at ...
University of Texas at Arlington Statistics LOS and Visitor Frequency Questions
Homework 3Homework 3 focuses on the application of concepts addressed in Exercises 13 and 28. Homework 3 is due SUNDAY at 11:59pm.Homework 3 involves survey data from the Centers for Disease Control (CDC) that focused on residential care facilities in the United States in 2010 (CDC, 2010). Residential care facilities primarily consist of persons in assisted living communities who receive housing and supportive services because they cannot live independently but generally do not require the skilled level of care provided by nursing homes. The focus of the first national study of acute care use in residential care facilities by Kahveci and Cipher (2014) was on acute care use (emergency department visits and hospitalizations) among persons in various disease categories, and information regarding the residents’ length of stay and visitor frequency was also collected. Length of stay in the facility was coded as 1 =0 to 3 months; 2 =3 to 6 months; 3= 6 months to a year; 4= 1 to 3 years; 5 =3 to 5 years; 6 =More than 5 years. Visitor frequency was coded as 1 =Every day; 2 =At least several times a week; 3 =About once a week; 4 =Several times in past month; 5 =At least once in past month; 6 =Not at all in the last 30 days. Therefore, higher values of the length of stay variable represent longer stays in the facility. Higher values of visitor frequency represent fewer visitor frequencies, which are considered inverse scoring.The null hypothesis is “There is no correlation between length of stay and visitor frequency among residents of residential care facilities.” The data are presented in HW3.sav. A subset of 15 residents was randomly selected for this example so that the computations would be small and manageable. In actuality, studies involving Pearson correlations need to be adequately powered (Aberson, 2010; Cohen, 1988) and in the case of CDC survey data, adjusted for complex sampling. Download the file: HW3.savOpen in SPSS. Use the dataset to answer the following questions.Calculate the Pearson r between LOS and visitor frequency, using the formula presented in Exercise 28. List the SOLVED numerator and the denominator. See attached for starter calculations. HW3 Starter Calculations.xlsxCompute the Pearson r with SPSS. Paste the correlation matrix table into your homework.What was the exact likelihood of obtaining the r value at least as extreme or as close to the one that was actually observed, assuming that the null hypothesis is true? (this question is asking you for the exact p value, converted to a percentage.) How would you characterize the magnitude of the effect between length of stay and visitor frequency? Refer to Table 28-1 for the size of the effect. State your rationale. Write your interpretation of the results, as you would in an APA-formatted journal. Remember that visitor frequency is REVERSE coded, with larger values represented FEWER visitors.Help for Homework 3:Please watch my video ‘What is a p value‘ in Module 2. When comparing the obtained r to the tabled r, the obtained must be higher than the tabled r to achieve significance. The other way to determine significance is to look at the exact p value presented in statistical software output. If the exact p is LESS THAN .05 thenthe result is significant.
Statistics help
When one thinks of the normal distribution, the first thing that comes to mind is the bell curve and grades. While this is ...
Statistics help
When one thinks of the normal distribution, the first thing that comes to mind is the bell curve and grades. While this is one example of a normal curve that is widely recognized, it is not the only one. Come up with a unique normal distribution from literature that your classmates have not posted about already. Explain your normal curve with items such as the mean and standard deviation. What do the areas in the intervals µ - σ to µ + σ, µ - 2σ to µ + 2σ and µ - 3σ to µ + 3σ represent as far as areas under the normal curve? With the mean and standard deviation, calculate what the actual intervals are for your normal curve. Please include any citations regarding where you obtained the data for your curve.
6 pages
Attachment 1 1
➢ In this study, data of a sample size of 4434 participants ➢Larger variation was observed in the amount of serum Note ...
Attachment 1 1
➢ In this study, data of a sample size of 4434 participants ➢Larger variation was observed in the amount of serum Note: Red highlight in p-value ...
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