Objective:
In: Nursing
A local statistician is interested in the proportion of high school students that drink coffee. Suppose that 20% of all high school students drink coffee. A sample of 75 high school students are asked if they drink coffee.
What is the probability that out of these 75 people, 14 or more drink coffee?
In: Statistics and Probability
You believe a higher percentage of students receive “passed advanced” in your school as opposed to a neighboring school. A random sample of 84 students from your school showed that 19 were pass advanced, and a random sample of 156 students from a neighboring school showed that 31 were pass advanced. If appropriate, test your hypothesis at the significance level .05.
A: Are the assumptions met?
B: State the hypotheses
C:What is the test statistic?
D: What is the p-value?
E:What is your conclusion?
In: Statistics and Probability
There are 68% of students drive to school in one university. Here is a sample of 20 students.
1) What is the probability that only 12 students drive to school?
2)What is the probability that no more than 15 students drive to school?
3) What is the probability that no more than 10 students drive to school?
4) What is the mean and standard deviation?
5) What is the percentage falling with 1 standard deviation? Does it satisfy the Empirical Rule?
Please explain with reasoning/steps please.
In: Statistics and Probability
Choose a young adult (age 25 to 34 years) at random. The probability is 0.11 that the person chosen did not complete high school, 0.34 that the person has a high school diploma but no further education, and 0.24 that the person has at least a bachelor
What must be the probability that a randomly chosen young adult
has some education beyond high school but does not have a
bachelor's degree?
(b) What is the probability that a randomly chosen young adult has
at least a high school education?
In: Statistics and Probability
Consider the following data regarding students' college GPAs and
high school GPAs. The estimated regression equation is
Estimated College GPA=0.67+0.6551(High School GPA).Estimated
College GPA=0.67+0.6551(High School GPA).
Compute the sum of squared errors (SSESSE) for the model. Round
your answer to four decimal places.
| College GPA | High School GPA |
|---|---|
| 2.022.02 | 3.293.29 |
| 2.812.81 | 3.113.11 |
| 2.532.53 | 3.303.30 |
| 3.763.76 | 4.974.97 |
| 3.083.08 | 3.003.00 |
| 3.963.96 | 3.873.87 |
In: Statistics and Probability
The Tvet college is interested in the relationship between
anxiety level and the need to succeed in school. A random sample of
400 students took a test that measured anxiety level and need to
succeed in school. Need to succeed in school vs Anxiety level Need
to succeed High Med–High Medium Med–Low Low in school Anxiety
Anxiety Anxiety Anxiety Anxiety High Need 35 42 53 15 10 Medium
Need 18 48 63 33 31 Low Need 4 5 11 15 17 Which one of the
following statements is incorrect?
1. The column total for a high anxiety level is 57:
2. The row total for high need to succeed in school is 155:
3. The expected number of students who have a high anxiety level
and a high need to succeed in school is about 51:
4. The expected number of students who have a low need to succeed
in school and a med–low level of anxiety is 8:19:
5. The expected number of students who have a medium need to
succeed in school and a medium anxiety is 61:28:
the critical value of 2 at 10% significance level equals.
1. 17:535
2. 13:362
3. 20:090
4. 2:733
5. 15:98
In: Statistics and Probability
A) A worker named Hastings lives for two periods (year 0 and year 1) and has to choose his optimal level of education. He has two choices. He can choose to go to school during year 0, in which case he has no earnings during that period; however, in year 1 he earns $220. Alternatively, he can choose not to go to school, in which case he earns $110 in both periods.
Part1. What is Hastings’ present discounted value (PDV) of lifetime earnings if he chooses not to go to school? Assume a discount rate of 10%.
Part2. What is Hastings’ present discounted value of lifetime earnings if he chooses to go to school in year 0? Assume a discount rate of 10%.
Part3. Given your answers to (1) and (2), should Hastings choose to go to school or not? Why?
Part4. Hastings’ sister Patience also lives 2 periods and if she decides not to go to school she also makes $110 in each period. However, if she decides to go to school, she can work part time and earn $50 in year 0 and then earn $220 in year 1. Patience has a discount rate of 0%. Should Patience attend school or not? Show your work
In: Finance
A town contains 4 people who repair televisions. If 5 sets break down, and each
repairer is equally likely to be called, what is the probability that
(1) exactly 2 of the repairers are called?
(2) exactly 3 of the repairers are called?
In: Statistics and Probability
Each person in random samples of 227 male and 283 female working adults living in a certain town in Canada was asked how long, in minutes, his or her typical daily commute was. (Use a statistical computer package to calculate the P-value. Use μmales − μfemales. Round your test statistic to two decimal places, your df down to the nearest whole number, and your P-value to three decimal places.)
| Males | Females | ||||
| Sample size |
x | s | Sample size |
x | s |
| 227 | 30.6 | 24.0 | 283 | 28.3 | 24.3 |
| t | = |
| df | = |
| P-value | = |
Is there enough evidence to show that there is a difference in mean
commute times for male and female working residents of this town?
Use a significance level of 0.05.
YesNo
In: Statistics and Probability