School A would like to get more high school students to ride the school bus rather than driving to school each day to reduce traffic congestion around the school. To try to encourage more students to ride the bus, the school decides to raise the daily rate for parking in the school parking lot.
1. Design and describe a study that uses an interrupted time series design to provide evidence as to whether the parking rate increase led to an increase in daily school bus ridership. What evidence would support the idea that the parking rate increase in the School A caused an increase in school bus ridership?
2. Suppose you conclude that school bus ridership increased when the parking rate increased. Identify and describe an example of a threat to internal validity that exists that would limit your ability to attribute the increased ridership to the increase in the parking rate?
3. Describe how you could change the study to utilize a control series design to answer the same question about the relationship between the parking rate increase and school bus ridership. If a study were conducted using a control series design, what results would support the idea that the parking rate increase in the School A (rather than some other factor) caused an increase in school bus ridership?
In: Statistics and Probability
PLEASE SOLVE İT :)
-Attachment styles founded by Bowlby. So, What are the attachment styles first described by Bowlby, and later elaborated upon by Hazan and Shaver?
And How each attachment style looks like, and What are the similarities seen in infant-caregiver and adult attachment styles? please explain all things.
In: Psychology
Please show work, do not copy the solution founded. show your solution! if you can not answer this question, then do not attempt to copy others' work.
In: Other
2-3 paragraph response. Describe two distinct reasons why someone who has never used a drug in his or her life might refuse a test at work. Convert those reasons into well-founded ethical arguments. Meaningful response is needed to at least two of your peers.
In: Operations Management
Algebra scores in a school district are normally distributed with a mean of 74 and standard deviation 6. A new teaching-and-learning system, intended to increase average scores, is introduced to a random sample of 30 students, and in the first year the average was 76.
(a) What is the probability that an average as high as 76 would have been obtained under the old system?
(b) What is the null hypothesis for testing the new system, and what is the alternative hypothesis?
(c) Is the test significant at the 0.05 level? What about the 0.01 level? Explain your answers.
In: Statistics and Probability
A vehicle quality survey asked new owners a variety of questions about their recently purchased automobile. One question asked for the owner’s rating of the vehicle using categorical responses of average, outstanding, and exceptional. Another question asked for the owner’s education level with the categorical responses some high school, high school graduate, some college, and college graduate. Assume the sample data below are for owners who had recently purchased an automobile.
| Education | ||||
| Quality Rating | Some HS | HS Grad | Some College | College Grad |
|---|---|---|---|---|
| Average | 30 | 35 | 20 | 60 |
| Outstanding | 45 | 45 | 50 | 95 |
| Exceptional | 25 | 20 | 30 | 45 |
a. Use a level of significance and a test of independence to determine if a new owner's vehicle quality rating is independent of the owner's education.
Compute the value of the test statistic (to 2 decimals).
The -value is - Select your answer -less than .01between .01 and .025between .025 and .05between .05 and .10greater than .10Item 2
What is your conclusion?
- Select your answer -Cannot concludeConcludeItem 3 that the quality rating is not independent of the education of the owner.
b. Use the overall percentage of average, outstanding, and exceptional ratings to comment upon how new owners rate the quality of their recently purchased automobiles.
| Average | |
| Outstanding | |
| Exceptional |
New owners - Select your answer -do not appearappearItem 7 to be satisfied with the recent purchase of their automobile. of owners rated their automobile as Outstanding or Exceptional.
In: Statistics and Probability
A vehicle quality survey asked new owners a variety of questions about their recently purchased automobile. One question asked for the owner’s rating of the vehicle using categorical responses of average, outstanding, and exceptional. Another question asked for the owner’s education level with the categorical responses some high school, high school graduate, some college, and college graduate. Assume the sample data below are for owners who had recently purchased an automobile.
| Education | ||||
| Quality Rating | Some HS | HS Grad | Some College | College Grad |
|---|---|---|---|---|
| Average | 35 | 30 | 20 | 60 |
| Outstanding | 50 | 50 | 55 | 90 |
| Exceptional | 15 | 20 | 25 | 50 |
a. Use a level of significance and a test of independence to determine if a new owner's vehicle quality rating is independent of the owner's education.
Compute the value of the test statistic (to 2 decimals).
The -value is - Select your answer -between .01 and .025between .025 and .05between .05 and .10greater than .10less than .01Item 2
What is your conclusion?
- Select your answer -Cannot concludeConcludeItem 3 that the quality rating is not independent of the education of the owner.
b. Use the overall percentage of average, outstanding, and exceptional ratings to comment upon how new owners rate the quality of their recently purchased automobiles.
| Average % | |
| Outstanding % | |
| Exceptional % |
New owners - Select your answer -do not appearappearItem 7 to be satisfied with the recent purchase of their automobile. of owners rated their automobile as Outstanding or Exceptional.
In: Statistics and Probability
A vehicle quality survey asked new owners a variety of questions about their recently purchased automobile. One question asked for the owner’s rating of the vehicle using categorical responses of average, outstanding, and exceptional. Another question asked for the owner’s education level with the categorical responses some high school, high school graduate, some college, and college graduate. Assume the sample data below are for owners who had recently purchased an automobile.
| Education | ||||
| Quality Rating | Some HS | HS Grad | Some College | College Grad |
|---|---|---|---|---|
| Average | 30 | 25 | 25 | 60 |
| Outstanding | 50 | 50 | 45 | 90 |
| Exceptional | 20 | 25 | 30 | 50 |
a. Use a level of significance and a test of independence to determine if a new owner's vehicle quality rating is independent of the owner's education.
Compute the value of the test statistic (to 2 decimals).
The -value is - Select your answer -between .01 and .025between .025 and .05between .05 and .10greater than .10less than .01Item 2
What is your conclusion?
- Select your answer -Cannot concludeConcludeItem 3 that the quality rating is not independent of the education of the owner.
b. Use the overall percentage of average, outstanding, and exceptional ratings to comment upon how new owners rate the quality of their recently purchased automobiles.
| Average | |
| Outstanding | |
| Exceptional |
New owners - Select your answer -do not appearappearItem 7 to be satisfied with the recent purchase of their automobile. of owners rated their automobile as Outstanding or Exceptional.
In: Math
The superintendent of the Middletown school district wants to know which of the districts three schools has the lowest rate of parent satisfaction. He distributes a survey to 1,000 parents in each district which asks if the parent is satisfied with their child’s school, and all of these parents respond. Here are the results school
|
school A |
school B |
school C |
total |
|
|
not satisfied |
248 |
250 |
300 |
798 |
|
satisfied |
752 |
750 |
700 |
2202 |
|
Total |
1000 |
1000 |
1000 |
3000 |
a. Percentage the table in a way that best answers the superintendent’s question
b. Calculate the percentage point difference between the rate of satisfaction at school A and school B, between the rate of satisfaction at school A and school C, and between the rate of satisfaction at school B and school C. Explain what these numbers mean in English.
c. Calculate the chi square value of this table
d. Are the differences shown in this table statistically significant at the 95% level?
e. Based on what you found in (b) and (d), and using your own judgement, how would you answer the superintendent’s question?
In: Math
Write a policy brief making a recommendation to your town on implementing alternative revenue methods in order to NOT depend on federal or state aid.
In: Economics