Calculating Relative Risk and Odds Ratios Your final answers should be rounded to one decimal point. Developed depressive Symptoms Did not develop depressive symptoms Total Experienced Bullying 237 1,715 1,952 Did not experience bullying 22 629 651 Total 259 2,344 2,603 1.What is the relative risk of developing depressive symptoms as an adult if that person was bullied as an adolescent in high school? 2.What is the risk (per 1,000 persons) of developing depressive symptoms that is attributable to bullying? 3.What percent of the risk of developing depressive symptoms as an adult is due to being bullied in high school? 4.How much of the incidence (per 1,000 persons) of developing depressive symptoms among the adult population is due to being bullied in high school? 5. What percentage of the depressive symptomology in the adult population is due to being bullied in high school?
In: Biology
Write a C program that creates a structure and displays its content. • Create a struct that will be used to hold a student's name, age, and year in school (Freshman, Sophomore, Junior, or Senior) • Within function main, dynamically allocate space to hold the structure and assign a pointer to point to the memory space allocated • Read in (from the keyboard) the student's name, age, and year in school • Create a separate function with the prototype: void display (struct student *) that can be used to display the contents of a single structure • Call this function twice - once for the original contents of the structure and again when the structure has been modified (Display year in school as indicated above, not 1, 2, 3, 4) • Increase the student's age by one and upgrade their year in school one level (unless they are already a Senior) • Free up the memory space before exiting
In: Computer Science
Use the following for the next 4 questions: A nationwide survey of college students was conducted and found that students spend two hours per class hour studying. A professor at your school wants to determine whether the time students spend at your school is significantly different from the two hours. A random sample of fifteen statistics students is carried out and the findings indicate an average of 2.1 hours with a standard deviation of 0.24 hours. Using the 0.10 level of significance, can we conclude that the time students spend studying at your school is different from 2 hours?
H0: U= 2 Min
H1: U=/ 2 Min
1) What Kind of test is this?
One-tail (left tail)
Two-tail
One-tail (right tail)
2) What is the critical value? State the positive one.
3) What is the value of the test statistic? Round to three decimal places.
4) What is your decision regarding the null hypothesis?
e) What is your conclusion?
1) There is not a difference in amount of time spent studying at your school
2) There is a difference in the amount of time spent studying at your school
In: Statistics and Probability
The College Board National Office recently reported that in 2011–2012, the 547,038 high school juniors who took the ACT achieved a mean score of 515 with a standard deviation of 129 on the mathematics portion of the test (http://media.collegeboard.com/digitalServices/pdf/research/2013/TotalGroup-2013.pdf). Assume these test scores are normally distributed.
In: Math
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Problem Set 1: Chi Square Test of Goodness of Fit Research Scenario: A political psychologist is curious about the effects of a town hall meeting on people’s intentions to support a state proposition that would legalize gambling. He interviews people as they leave and asks them whether their opinion about the proposition has changed as a result of the meeting. He records these frequencies in the table below. Using this table, enter the data into a new SPSS data file and run a Chi Square Test of Goodness of Fit to test whether the frequencies are equal across the categories. Create a bar chart to show the relationship between the variables. |
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Less likely to support |
No change |
More likely to support |
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25 |
12 |
9 |
In: Statistics and Probability
a. For the experiment in which the number of computers in use at a six - computer lab is observed, let B, C be the events defined as B = {3, 4, 5, 6}, and C = {1, 3, 5}. Give the event (B ^ C) using set notation (i.e using { } ).
b. Suppose that the probability of a person getting a certain rare disease is 0.0004 . Consider a town of 10,000 people. What is the approximate probability of seeing more than 3 new cases in a year?
c. To get to work, a commuter must cross train tracks. The time the train arrives varies slightly from day to day, but the commuter estimates he will be stopped 10% of work days. During a certain 5 - day work week, what is the probability that he gets stopped at least once during the week?
d. Suppose occurrences of sales on a small company’s website are modeled by a Poisson model with λ = 6/hour. What is the probability that the next sale will happen in the next 12 minutes?
In: Statistics and Probability
a. For the experiment in which the number of computers in use at a six - computer lab is observed, let B, C be the events defined as B = {3, 4, 5, 6}, and C = {1, 3, 5}. Give the event (B ^ C) using set notation (i.e using { } ).
b. Suppose that the probability of a person getting a certain rare disease is 0.0004 . Consider a town of 10,000 people. What is the approximate probability of seeing more than 3 new cases in a year?
c. To get to work, a commuter must cross train tracks. The time the train arrives varies slightly from day to day, but the commuter estimates he will be stopped 10% of work days. During a certain 5 - day work week, what is the probability that he gets stopped at least once during the week?
d. Suppose occurrences of sales on a small company’s website are modeled by a Poisson model with λ = 6/hour. What is the probability that the next sale will happen in the next 12 minutes?
In: Statistics and Probability
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Problem Set 1: Chi Square Test of Goodness of Fit Research Scenario: A political psychologist is curious about the effects of a town hall meeting on people’s intentions to support a state proposition that would legalize gambling. He interviews people as they leave and asks them whether their opinion about the proposition has changed as a result of the meeting. He records these frequencies in the table below. Using this table, enter the data into a new SPSS data file and run a Chi Square Test of Goodness of Fit to test whether the frequencies are equal across the categories. Create a bar chart to show the relationship between the variables. |
|
Less likely to support |
No change |
More likely to support |
|
25 |
12 |
9 |
In: Statistics and Probability
1. Suppose we would like to determine if the typical amount spent per customer for dinner at a new restaurant in town is more than $20.00. A sample of 49 customers over a three-week period was randomly selected and the average amount spent was $22.60. Assume that the standard deviation is known to be $2.50.
•Using a 95% confidence level of significance, would we conclude the typical amount spent per customer is more than $20.00?
•Discuss your interpretation of your findings.
2. Suppose an editor of a publishing company claims that the mean time to write a textbook is at most 15 months. A sample of 16 textbook authors is randomly selected and it is found that the mean time taken by them to write a textbook was 12.5. Assume also that the standard deviation is known to be 3.6 months.
•Assuming the time to write a textbook is normally distributed and using a 95% confidence level of significance, would you conclude the editor’s claim is true?
•Discuss your interpretation of your findings.
**Please show all work**
In: Statistics and Probability
You have decided to purchase a small tract of land for building a new home on the outskirts of town. You have some money available but need a loan of $18,000 to make the purchase. The land will be owner-financed over 4 years with end-of-year payments. The interest rate is 9%.
For each of the payback methods given, determine the present worth of the loan payments made by the borrower, using TVOM rates of 5%, 9%, and 13%
Method 1: Pay the accumulated interest at the end of each interest period and repay the principal at the end of the loan period.
Method 2: Make equal principal payments, plus interest on the unpaid balance at the end of the period.
Method 3: Make equal end-of-period payments.
Method 4: Make a single payment of principal and interest at the end of the loan period.
Method 5: Pay $3,000 principal at the end of the first year, then $4,000, $5,000, and $6,000 at the end of years 2, 3, 4, plus the accumulated interest at the end of each interest period.
In: Accounting