In order to restructure its entertainment activities, Bear Valley University wanted an estimate of the amount of US dollars spent by all its undergraduate students on entertainment expenses.
To do so, it took a sample of 25 undergraduates. Students in the sample reported spending the following US dollar amounts for entertainment expenses last year:
| 741 | 754 | 771 | 773 | 680 | 682 | 728 | 775 | 708 | 700 | 714 | 731 | 756 |
| 699 | 772 | 683 | 778 | 739 | 769 | 713 | 746 | 758 | 710 | 771 | 696 | |
(Round your answers to 2 decimal places.)
Find the point estimate for the population mean, the point estimate for the population median, and the point estimate for the population mode.
In: Statistics and Probability
A teacher puts 10,000 lolly pops into a chest weighing 10 pounds and drops it down a well. A group of students are trying to get the lolly pops out the well. A student decided to attach to the chest a 100 ft long chain weighing 10 pounds. Several other students, at the top of the well, start lifting the chest out of the well by pulling on the chain in a hand over hand fashion. As the chest is being lifted, lolly pops fall from an opening in the chest at a constant rate such that the chest will be empty when it reaches the top of the well. Given that an individual lolly Pop weight 0.6 ounces, find the work done in raising the chest to the top of the well. Show integration steps.
In: Advanced Math
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 | 3,800 |
| 3.6 | 4,300 |
| 3.2 | 3,700 |
| 3.4 | 4,100 |
| 3 | 2,400 |
The estimated regression equation for these data is y= 350 +
1031.3x and MSE = 383594.
Use Table 1 of Appendix B.
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
Case study: Ian is a CST with several years of experience, working at a large urban hospital. Ian often serves as a preceptor (a CST who trains students during their clinical experience) for surgical Technology students from the local community college. Today, a new student is working with Ian in orthopedic OR. They have just completed positioning the patient when the circulator asks Ian if he will prep the patient's leg while she performs the final check of the video monitors.
Questions
1. What role is Ian performing, and are there any restrictions to
that role?
2. What are the roles of the various OR team members, and how do they interrelate?
3. What extra responsibilities is Ian assuming by helping to train the student?
In: Nursing
Answer the following questions Q1. A student in a large lecture section asked students how much they paid for a used copy of the text. The n = 38 responses yielded
Summation Xi=3230.84 Summation (Xi - Xbar)^2= 2028.35
a A test of the hypothesis that the mean amount students paid for a used copy of the text is different from 82 is being conducted at a 5% significant level. . What is the P-value of the test? (5 points) i. Based on any one of (f) and (g) above, what is your decision for the test? Justify your answer. (4 points) j. Draw your conclusion on the test. (2 points)
I just need help with the bolded sections
In: Statistics and Probability
can you paraphrase this please!! thank you!
"The students have fixed number of hours in a week to choose between studying and working, it is completely incorrect in saying that whether it is the study that causes work or work causes study. It is generally assumed that students always choose total hours as a mix of studying and working depending on their rational behavior. This would help them maximizing their utility subject to the constraint of limited fixed hours in a week. However, one can later apply the statistical method to measure the relationship between weekly hours spent studying and weekly hours spent working. But yes, one would not be claiming that one variable “causes” the other. It is the matter of interest of each student"
In: Economics
Michael is the owner of several successful bars and restaurants in central Melbourne. Recently, Michael was invited to make a guest appearance on a new hit television show about small business success stories. For his efforts, Michael received a one-off payment of $15,000. Michael feels he should be allowed to exclude this payment from his usual business income.
Required
Do you agree with Michael’s conclusion?
Students must give reasons for their answer. This discussion must include an analysis of the pertinent sections of the relevant legislation, rulings, and the relevant case law. If relevant, students must show calculations.
NOTE: It references to Australian Taxation law, please provide the reasons with their supportive sections number as well.
In: Accounting
Monthly rent paid by undergraduates and graduate students.
| Undergraduate Student Rents (n = 10) | ||||
| 810 | 770 | 870 | 710 | 730 |
| 830 | 820 | 660 | 980 | 700 |
| Graduate Student Rents (n = 12) | |||||
| 1,150 | 910 | 920 | 860 | 780 | 910 |
| 740 | 820 | 940 | 920 | 830 | 880 |
(a) Construct a 90 percent confidence interval for
the difference of mean monthly rent paid by undergraduates and
graduate students, using the assumption of unequal variances with
Welch's formula for d.f. (Do not round the
intermediate calculations. Round your final
answers to 3 decimal places. Negative values should be indicated by
a minus sign.)
The 90% confidence interval is from which number to which
number?
In: Statistics and Probability
3.28. Adam is studying the relationship between hours of sleep and students GPA's. He passes a survey amongst his 17 students and the data he gathered is as follows
| GPA avg | Hours of sleep per night |
| 3.87 | 5 |
| 2.50 | 8 |
| 2.98 | 10 |
| 3.37 | 6 |
| 3.1 | 5 |
| 3.1 | 4 |
| 3.9 | 7 |
| 3.5 | 8 |
| 2.1 | 5 |
| 3.97 | 6 |
| 3.6 | 10 |
| 3.45 | 6 |
| 2.1 | 5 |
| 0.0 | 9 |
| 3.2 | 11 |
| 3.18 | 6 |
| 3.87 | 4 |
A.) Find the frequency distribution(S)
B.) Descriptive statistics (mean, medium, mode, range and standard deviation)
C.) Choose between t-Test and Z-Test
In: Statistics and Probability
The following table shows the number of fifth and sixth grade teachers in a school district and the number of students in each of those grades. The number of teachers for each of the grade levels was determined by using the Huntington-Hill apportionment method. The district has decided to hire a new teacher for either the fifth or sixth grade.
|
Number of teachers |
Number of students |
|
|---|---|---|
| Fifth grade | 19 | 607 |
| Sixth grade | 23 | 739 |
(a) Use the apportionment principle to determine to which grade the new teacher should be assigned.
(b) Use the Huntington-Hill apportionment principle to determine to
which grade the new teacher should be assigned.
How does this result compare with the result in part (a)?
same result or different result
In: Advanced Math