Whether we are conducting a hypothesis test with regards to a one population parameter or two population parameters (usually the difference between two population parameters), the concept of p-value is extremely important in making a decision with respect to the null hypothesis. A very common mistake in elementary statistics is interpreting the p-value of a hypothesis test. Many students think that the p-value is the probability that the null hypothesis is true or that it is the probability of rejecting the null hypothesis: Explain why you think many students erroneously come to these conclusions. In your own words, explain what the p-value represents. What pages of the reading in OLI support your explanation?

As a physics demonstration, you want a special bowling ball made to demonstrate exactly 1 kg·m2, so that your students can rotate the ball about its center of mass to get a "feel" for how "big" 1 kg·m2 is. The bowling balls most familiar to your students has a weight of 15.4 pounds and have a circumference of 25.5 inches, but do not have a moment-of-inertia equal to 1 kg·m2. Since the sporting goods manufacturer has no understanding of how \"big\" 1 kg·m2 is, calculate the diameter of the demo bowling ball (in inches) it will need to manufacture. Assume that bowling balls are solid, with a constant density.

I need a good topic for the Quality Improvement Report, it's for my operational management class. Any suggestions...

You will complete a Quality Improvement Report after identifying a deficiency in the workplace or home environment and developing a plan to address the issue(s). The self-selected location and short overview of the deficiency will be submitted to the instructor for approval in Week 2. Using various components of the Total Quality Management (TQM) Philosophy, students will create a plan that serves the purpose of demonstrating knowledge and understanding of TQM tools, techniques, and processes and how to apply them appropriately to a demonstrated deficiency. The report will also prepare students to communicate in a professional setting.

4. In a study of caffeine and stress, college students indicate how many cups of coffee they drink per day and their stress level on a scale of 1 to 10 (with higher scores indicating greater stress). Data is collected from a sample of 10 students. The Pearson correlation coefficient for the relationship between these 2 variables is r = .43.

(a) Set up your hypotheses using the correct notation

(b) What statistical decision should the researcher make? JUSTIFY YOUR ANSWER

(c) What should the researcher conclude?

Can you please show all of your work for all three parts please.

5. It is of interest to Starbucks on campus, the average spending of students in one week, this with the aim of creating a promotion for their students. It is said that they spend 163 pesos on average and it is known from experience that the standard deviation in spending is 52 pesos. a. What is the probability of a student on campus spending at least 180 pesos?

6. The following are the partial ratings of the group: 79, 87, 90, 74, 83, 72, 80, 56, 84, 83, 92, 70, 65, 69, 87, 88, 74, 72, 82, 91, 63. a. Draw up a basic frequency distribution table (1 pts.) b with the grades. Make a histogram

Two random samples are taken, one from among UVA students and the other from among UNC students. Both groups are asked if academics are their top priority. A summary of the sample sizes and proportions of each group answering yes'' are given below:

UVA (Pop. 1):n1=80, p̂ 1=0.72

UNC (Pop. 2):n2=81, p̂ 2=0.64

Find a 97.7% confidence interval for the difference p1−p2 of the population proportions.

Confidence interval = ?????

-any chance you can also explain how this is done on a calculator? If not possible, I understand. Please help me solve it.

The Kalamazoo Michigan Symphony once advertised a "Mozart for Minors" program with this statement: "Question: Which students scored 51 points higher in verbal skills and 30 points higher in math? Answer: Students who had experience in music."

a) Is the following statement true or false: Does this mean that studying music causes a student to score higher in verbal skills and math? Please explain your answer. Your answer needs to include what possible causation is possible.

b) Draw a diagram that explains your answer. (Possible diagrams are causation, common response, or confounding). Be sure to label all variables in the diagram.

1. How are efficiency and dispersion related?

2. What are the assumptions to justify the use of hypothesis testing?

3. If the null hypothesis is rejected, what can we conclude? If we know that 60% of ASU students like the parking and 50% of the community as a whole likes the parking, and the difference between the sample and population are tested, with the null rejected, what do we conclude? Is the difference significant? Not significant? Are ASU students significantly more likely or less likely to like the parking? Are they equally likely?

7. In order to reject the null when using a t distribution with small samples, what is needed? Consider size of the test statistic. Why?

Due to distance learning and less homework load in Peach Elementary School, parents are complaining that the average screen time is more than 3 hours per day for students in Grade 1 to Grade 3. The principal randomly selected 36 students from Grade 1 - Grade 3 and statistical summary is shown below. min 3 avg 5 max 8 std 2.5

Write the hypothesis in symbols or words Check the two conditions for CLT. Calculate the test statistics and the associated degrees of freedom Use the p-value or critical value approach to make your conclusion at 5% significance level.

From a survey of 120 students attending a university, it was found that 48 were living off campus, 57 were undergraduates, and 25 were undergraduates living off campus. One student is selected at random.
Let event A be “The student is an undergraduate”

Let event B be “The student is living off campus”.

a. Sketch the Venn diagram and show number of students for all parts of the diagram

b. Find the probability that selected person is an undergraduate student or he/she lives off campus

c. Find the probability that selected student is an undergraduate living on campus

d. Selected person is a graduate student living on campus.