The following data are the monthly salaries y and the
grade point averages x for students who obtained a
bachelor's degree in business administration.
| GPA | Monthly Salary ($) |
| 2.6 | 3,600 |
| 3.4 | 3,900 |
| 3.6 | 4,300 |
| 3.2 | 3,700 |
| 3.5 | 4,200 |
| 2.9 | 2,200 |
The estimated regression equation for these data is = -414.9 + 1,270.3x and MSE =425,236
A) Develop a point estimate of the starting salary for a student with a GPA of 3.0 (to 1 decimal).
B) Develop a 95% confidence interval for the mean starting salary for all students with a 3.0 GPA (to 2 decimals).
C) Develop a 95% prediction interval for Ryan Dailey, a student with a GPA of 3.0 (to 2 decimals).
In: Statistics and Probability
Shannon is a graduate student studying health economics. One of her projects was to study the effects of tobacco product taxation on the frequency of smoking among college students. She hypothesized that the taxation would decrease the frequency of smoking. Using a survey analysis and a known frequency in a recently reported publication, she conducted a hypothesis test to determine if students were less likely to smoke if the tax rate went up by $0.25 per cigarette pack. She used a significance level of 2%.
Determine the critical value or values for a one-mean z-test at the 2% significance level if the hypothesis test is left-tailed (Ha:μ<μ0).
z0.160.994z0.081.405z0.041.751z0.022.054z0.012.326
In: Statistics and Probability
**MATLAB
8)The structure for students' quiz data for a class is organized as below
| ID number | Quiz |
| 44 | 7 |
| 33 | 5.5 |
| 37 | 8 |
write a script to print the students' data by ascending order of ID number. The index vector method must be used and the MATLAB functions for sorting CANNOT be used.
9)In a physics measurement, the density of the water is measured at different depth. Here are the depth vector and density vector.
depth=[100,200,300,400,500]
density=[6.1,6.9,8.0,8.8,10.2]
USE polyfit to fit the data with 1,2, and 3 degree curves and use subplot to over plot your fitting curves on your original data.
In: Advanced Math
Randomly selected statistics students participated in an experiment to test their ability to determine when 60 seconds has passed. Forty-six students yield a sample mean=57.43 seconds with a sample standard deviation=9.04 seconds. Use α=0.05 as a significance level to test the claim that the population mean equals to 60 seconds.
Группа выборов ответов
p-value=0.06, evidence support claim
p-value=0.6, evidence not support claim
p-value=0.06, evidence not support claim
p-value=0.06, evidence support claim
p-value=0.06, evidence not support claim
In: Statistics and Probability
A movie monopolist sells to college students and other adults,
as in Worked-Out Problem 18.2 (page 635). The demand function for
students is
QdS=1,000−100P,
and the demand function for other adults is
QdA=4,500−100P.
Marginal cost is $2 per ticket.
Instructions: Round your answers to 2 decimal
places.
a. What prices will the monopolist set when she can discriminate?
How will discrimination affect the monopolist's profit?
Pstudent = $ per
ticket.
Padult = $ per
ticket.
Profit = $.
b. What prices will the monopolist set when she cannot
discriminate? How will it affect her profit?
Peveryone = $ per
ticket.
Profit = $.
In: Advanced Math
1) In a sample of 10 randomly selected individuals, The average hours a person spent smoking cigarettes in a month is 3.6 hours with a standard deviation of 1.2. Determine a 90% confidence interval for the population mean.
2)You recently read an article about a new youth program. This article claimed that at least 45% of high school students encounter some level of bullying on a daily basis. You are shocked at these findings and decide to test this yourself. You sample 200 high school students and find 87 admit to being bullied. Perform a statistical test at the 0.05 level of significance to determine if the article’s claim is true.
In: Statistics and Probability
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?
In: Statistics and Probability
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.
In: Physics
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.
In: Operations Management
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.
In: Statistics and Probability