Objective:

1. Identify the educational requirements and role of the Certified School Nurse, RN & LPN in the school setting.

For the following questions, identify the type of test that should be used. Simply use the corresponding letter: A) One-sample z test (for a mean); B) One-sample t-test; C) One-sample z-test for a proportion (or a chi-squared goodness-of-fit); D) Chi-square goodness of fit (and a z-test is not appropriate); E) Two-sample z-test for a difference between proportions (or a chi-squared test for independence); F) Chi-square test for independence (and a z-test is not appropriate); G) Simple regression; H) Multiple regression; I) Two-independent samples t-test (with homogeneity of variance); J) Two-independent samples t-test (without homogeneity of variance);       K) Two-related samples t-test; L) One-way (independent measures) ANOVA; M) One-way Repeated measures ANOVA; N) Two-way ANOVA (independent, mixed, or repeated measures); O) Mann-Whitney; P) Wilcoxon; Q) Kruskal-Wallis; R) Friedman; If you are going down the interval/ratio branch, it is safe to use parametric measures, unless something is directly stated that clearly indicates otherwise, or unless the data strongly and unambiguously indicates otherwise. Similarly, it is safe to assume homogeneity of variance unless it is clearly indicated otherwise. Do not try to analyze whether or not the experiment is tenable or practical or flawless. This is not your concern right now. Almost all of the below were written by students in this class.

4.         A manufacturer claims that only 5% of the goods he produces are defective. Zoe takes a sample of 500 products and finds that 45 are defective.

5.         Tegan wants to know if there 10C or 10B is the harder class or are they equally hard. She gets a sample of eight students who took both classes and records what score they got on the 10B final, and she then records what the same students got on the 10C sample.

     10B:                 50                     70                     100                   120                   140                   115                   85                     85

    10C:                 92                     72                     109                   82                     138                   136                   88                     67        

6.         A professor wants to know if more boys are likely to speak out in class or whether girls are more likely to speak out in class.

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?

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?

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.

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?

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.

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

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

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?