Describe your approach to solving the problem below; solve the exercise; explain with calculations and verbiage each step of the hypothesis testing procedure, and then write a two-sentence summary of the conclusion based upon your solution.

9.46 The Washington Metropolitan Area Transit Authority has

set a bus fleet reliability goal of 8,000 bus-miles. Bus reliability is

measured specifically as the number of bus-miles traveled before

a mechanical breakdown that requires the bus to be removed from

service or deviate from the schedule. Suppose a sample of 64 buses

resulted in a sample mean of 8,210 bus-miles and a sample standard

deviation of 625 bus-miles.

a. Is there evidence that the population mean bus-miles is greater

than 8,000 bus-miles? (Use a 0.05 level of significance.)

b. Determine the p-value and interpret its meaning

# Category: Statistics homework help

When responding to your classmates, discuss possible suggestions for re-creating the study using the current standards used in research with human subjects.

A binomial probability experiment is an experiment with two possible outcomes like flipping a coin (the two possible outcomes are head or tails.)

1) Choose a binomial probability experiment. Decide which result is a success and which result is a failure. DO NOT choose to flip a coin. Please be creative. If you’re not sure if you have chosen a binomial probability experiment, then check with your professor before proceeding.

2) You are going to do the experiment 50 times and record your results in a table, but before you do the experiment 50 times, make a guess about the probability of success. That is, guess how many successes you will get before doing the experiment.

3) Calculate the empirical probability of success and compare it to your original guess.

4) Write a paragraph explaining how you did the experiment, state your guess and your calculated empirical probability as a fraction, decimal and as a percentage. Then, compare your results to your guess. Were you close or were you far off?

Explain why an increase in sample size will reduce the probability of a type II error, but such an increase will not impact the probability of a type I error.

Support your reasoning using a scholarly source. Visit the Strayer University Library for help.

Choose one of the causality models in Chapter 9 of the textbook and use it to explain the relationships between the risk factors associated with the leading cause of death you selected in Module Four and the outcome (death from that cause). How do Hill’s criteria for causation apply to these relationships? Remember to cite references where necessary.

Book website:

https://bncvirtual.com/vb_econtent.php?CSID=2M3JKQUKQJCQMKMTDMOMTCSMB&FVCUSNO=37315

DRAWING INFERENCES ABOUT POPULATION MEANS AND PROPORTIONS

Having developed the null and alternative hypotheses in the previous module, write a (2-3 pages) paper in which you:

Identify a test statistic to help you assess the evidence against the null hypothesis you developed in the previous module.

Explain why you have chosen the specific test statistic. Include in your discussion description of the test statistic.

Summarize your findings by creating a summary graph in which you display your data.

Discuss the total number of measurements (sample size), the possibility for measurement error, and whether it is large enough to paint an accurate picture.

DRAWING INFERENCES ABOUT POPULATION MEANS AND PROPORTIONS

Case Assignment

A researcher conducts a test on the effectiveness of a cholesterol treatment on 114 total subjects. Assuming the tails of distributions are normal distribution, is there evidence that the treatment is effective?

Cholesterol Decreased No Cholesterol Decrease Total

Treatment 38 18 56

No treatment 30 28 58

Total 68 46 114

Submit a (2-3 pages) paper before the end of the module that:

Briefly describe the procedure for testing hypotheses.

Formulate the null and alternative hypotheses.

Determine the test statistic that you will use.

Calculate the p-value. Show your work.

Discuss whether there is enough evidence to reject the null hypothesis.

For this assignment, review and analyze this article:

Exhausted parents: Sociodemographic, child-related, parent-related, parenting and family-functioning correlates of parental burnout.

Mikolajczak, M., Raes, M.-E., Avalosse, H., & Roskam, I. (2018). Exhausted parents: Sociodemographic, child-related, parent-related, parenting and family-functioning correlates of parental burnout. Journal of Child & Family Studies, 27(2), 602–614.

Read the Discussion, Limitations, and Future Research sections of the article. The section discusses the limitations and recommendations for future research. Select any one recommendation and explain how you would design a study based on that recommendation from the article. What are the variables? How would you measure those variables (level of measurement – nominal, ordinal, ratio, interval)? What will be the hypothesis? Determine which statistical analysis you would propose and explain why.

Describe the research question studied in the article.

What are the hypotheses for the study? If the researchers have not stated hypotheses, what will be your hypothesis for the study?

List and describe the variables of the study (e.g., independent and dependent variables). How were the variables measured? (nominal, interval, ratio, ordinal)

Discuss the sampling method, sample characteristics, and measures used.

Explain in detail the study design and methodology employed.

Review Tables and Figures carefully.

What do the descriptive statistics (Percentages, Mean, Standard deviation, Correlations) indicate? Looking at the Tables for descriptive statistics, what inferences can you draw related to the variables of the study? For example, if you selected the Hsu et al. (2016) article, was happiness found to be significantly different in the age groups? Looking at the means (Table 1), what conclusions can you make regarding the mood, friends/colleagues social support, social participation, quality of life, and trust?

How was hypothesis testing completed? What statistical analysis was carried out to test the hypotheses? What was the rationale for choosing a particular statistical test? What do the results indicate in terms of hypotheses? For example, if you selected the Hsu et al. (2016) article, look at (Table 2). Provide evidence using statistical findings to indicate if the hypothesis was supported or not supported. Use APA style to describe the results.

If there are any graphs or figures, what are these figures/graphs telling you in terms of variables?

Read the Discussion, Limitations, and Future Research sections of the article. The section discusses the limitations and recommendations for future research. Select any one recommendation and explain how you would design a study based on that recommendation from the article.What are the variables? How would you measure those variables (level of measurement – nominal, ordinal, ratio, interval)? What will be the hypothesis? Determine which statistical analysis you would propose and explain why.

Remember, the goal of this project is to show what you have learned in the course. Therefore, this project becomes a cumulative learning project where you can demonstrate what you have learned through all the previous assignments, readings, and video presentations that you have watched.

Length: 3-5 pages, not including title and reference pages

References: Include a minimum of 2 scholarly resources.

The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented in the course. The writing should integrate scholarly resources, reflect academic expectations and current APA standards, and adhere to Northcentral University’s Academic Integrity Policy.

INTRODUCTION TO HYPOTHESIS TESTING

For the third component of the Session Long Project, write a (2-3 pages) paper in which you: APA Format

Develop a null hypothesis and an alternative hypothesis based on the data you have collected.

Discuss why you have chosen the hypotheses you developed above. Be sure to discuss the concept of null hypothesis in your response.

Directions: Choose a quantitative variable. Measure it on two different samples of 10, drawn from two different populations. For example, you might ask the number of cups of coffee consumed daily by 10 men vs 10 women. Provide a description of the data selected, as well as the two different populations you chose.

Record the data, and for EACH sample, find the sample mean, the sample standard deviation and the five-number summary. Compare your two samples creating boxplots or histograms.

Summarize your results in a paragraph, including a description of how you collected your data and your interpretation of the results. Does it appear that the two populations are similar, or different? Submit one file and save your document as a pdf file.

I send an example file on it