Q.1. Operating torques in analogue instruments are

(a) deflecting and control (b) deflecting and damping (c) deflecting, control and damping (d) vibration and balancing

Q.2. An instrument transformer is used to extend the range of

(a) induction instrument (b) electrostatic instrument (c) moving coil instrument (d) any of the above

Q.3. A power factor meter is based on the principle of

(a) electrostatic instrument (b) Electrodynamometer instrument (c) Electro thermo type instrument (d) Rectifier type instrument.

Q.4.When using the terms "accuracy" and "precision" for measurements

a. "precision" implies less measurement error than "accuracy" b. "accuracy" implies less measurement error than "precision" c. "precision" measures the repeatability of a measurement d. both terms mean the same thing

Q.5. The bridge method commonly used for finding mutual inductance is

(A) Heaviside Campbell bridge (B) Schering bridge (C) De Sauty bridge (D) Wien bridge

Q.6. The Q-meter works on the principle of

(A) mutual inductance (B) self inductance (C) series resonance (D) parallel resonance

Q.7. A digital-to-analog converter with a full-scale output voltage of 3.5 V has a resolution close to 14 mV. Its bit size is

(A) 4 (B) 8 (C) 16 (D) 32

Q.8.Which of the following has the best accuracy

(A).MI meter (B).Moving coil meter (C).Rectifier type meter (D).Thermocouple meter

Q.9.A 0-10 A ammeter has a guaranteed accuracy of 1% of FSD.The limiting error while reading 2.5A

(A).1% (B).2% (C).4% (D).none of the above

Q.10.In a transducer the observed output deviates from the correct value by constant factor the resulting error is called

(A).Zero Error (B).Sensitivity Error (C).Non-confirmity Error (D).Hysteresis error

Q.11. If the current in a capacitor leads the voltage by 80°, the loss angle of the capacitor is

(a) 10° (b) 80° (c) 120° (d) 170°

Q.12. To avoid the effect of stray magnetic field in A.C. bridges we can use

(a) magnetic screening (b) Wagner earthing device (c) wave filters (d) any of the above

Q.13. The disc of an instrument using eddy current damping should be of

(a) conducting and magnetic material (b) non-conducting and magnetic material (c) conducting and non-magnetic material (d) none of the above

Q.14. An induction meter can handle current upto

(a) 10 A (b) 30 A (c) 60 A (d) 100 A

Q.15. Which of the following devices may be used for extending the range of instruments ?

(a) Shunts (b) Multipliers (c) Current transformers (d) Potential transformers (e) All of the above

Exercise 1

Modify the List class of Figure 21.3 in the textbook to include a method that recursively searches a linked-list for a specified value. Ensure that the name of your method includes your last name. The method must return a reference to the value if it is found; otherwise, it must return null. Use your method in a test program that creates a list of integers. The program must prompt the user for a value to locate in the list.

My code... but not putting out the right output needed

import java.util.ArrayList;

import java.util.List;

import java.util.Scanner;

public class ListSearch {

public static <T> T search(List<T> list, T value, int index){

if(list == null || index == list.size())

return null;

if(value.equals(list.get(index)))

return list.get(index);

return search(list, value, index+1);

}

public static void main(String[] args) {

List<Integer> list = new ArrayList<>();

System.out.println("Enter integers(-1 to stop): 4, 11, 32, 16, 77, 44, 33, 10, -1 ");

int num;
  

Scanner sc = new Scanner(System.in);

while(true){

num = sc.nextInt();

if(num == -1)

break;

list.add(num);

}

System.out.print("Enter integer to search: ");

int key = sc.nextInt();

Integer res = search(list, key, 0);

if(res == null)

System.out.println(key+" is not in list");

else

System.out.println(key+" is available in list");

}

Show all work and answer steps in complete sentences please list them ex. Step 1 underline steps

Use a two-tailed test and α = .05.
Round up to two decimal places.

Dependent t-test
We want to test exercise on stress. A sample of participants reported their stress levels before and after exercising?Conduct four steps of hypothesis testing.

Before      After                   D
25              10                     15
25              17                      8
21              15                      6
25              14                     11

SSD = 46

Step 1 State your NULL and RESEARCH hypotheses completely
Step 2 What is the df?
Step 3 What are the cut-off points?
Step 4 What is the standard deviation of the D scores?
Step 5 What is the estimated standard error?
Step 6 What is the t-value?
Step 7 State your conclusion thoroughly.

Use a two-tailed test and α = .05.
Round up to two decimal places.

Independent t-teest
We want to compare the q scores between morning students and afternoon students. Is there a significant difference between two groups on the q scores? Conduct four steps of hypothesis testing.

AM       PM
8            7
7          1
9          1
6          8
3            8
9           11

SS for AM= 26
SS for PM = 84
Step 1 State your NULL and RESEARCH hypotheses completely.
Step 2 What is the df?
Step 3 What are the cut-off points?
Step 4 What is the pooled variance?

Step 5 What is the estimated standard error?
Step 6 What is the t-value?
Step 7 State your conclusion thoroughly.

1. In many animal species the males and females differ slightly in structure, coloring, and/or size. The hominid species Australopithecus is thought to have lived about 3.2 million years ago. (“Lucy,” the famous near complete skeleton discovered in 1974, is an Australopithecus .) Forensic anthropologists use partial skeletal remains to estimate the mass of an individual. The data below are estimates of masses from partial skeletal remains of this species found in sub-Saharan Africa. Appropriate graphical displays of the data indicate that it is reasonable to assume that the population distributions of mass are approximately normal for both males and females. You may also assume that these samples are representative of the respective populations. Estimates of mass (kg)

Males 51.0, 45.4, 45.6, 50.1, 41.3, 42.6, 40.2, 48.2, 38.4, 45.4, 40.7, 37.9, 41.3, 31.5

Females 27.1, 33.5, 28.0, 30.3, 32.7, 32.5, 34.2, 30.5, 27.5, 23.3,35.7

Do these data provide convincing evidence that the mean estimated masses differ for Australopithecus males and females? Provide appropriate statistical justification for your conclusion.

2. In an introductory marketing class students were presented with 6 items they could bid on in an auction. They were asked to bid privately and also estimate the “typical” bid for each item by their classmates. The items were randomly selected from a large list of items that students might purchase. An initial analysis of the data established the plausibility that the distribution of differences (estimated – actual) is approximately normal.

Construct a 95% confidence interval for the mean difference between the actual bid and the estimated “typical” bid for the population of items.

During the registration at the State University every semester, students in the college of business must have their courses approved by the college adviser. It takes the adviser an average of 2 minutes to approve each schedule, and students arrive at the adviser’s office at the rate of 28 per hour.

Question 6: How long does a student spend waiting on average for the adviser?

How many students on average will be waiting for the adviser (round to the closest integer)? (1 point)

What percentage of the time during his office hours will the adviser be busy working with students’ schedules?

The dean of the college has received complaints from students about the length of time they must wait to have their schedules approved. The dean feels that waiting time should be no more than 10 minutes. Each assistant the dean assigns to the adviser’s office will reduce the average time required to approve a student schedule by 0.25 minute, down to a minimum time of 1 minute to approve a schedule. How many assistants should the dean assign to the adviser?

1. Curious AP Statistics students wanted to know if there was a relationship between dress code violations and disciplinary actions: did students who violated the dress code receive more suspensions, detention, and work detail. In a blind survey, so the identities of the subjects were unknown to the AP students, the AP Statistics students randomly selected 185 students and were given the results of their survey from school administration regarding dress code violations and disciplinary actions. The results are below:
   

1. To the table below, add marginal values and next to the observed counts enter the expected counts. (4 points)
   

2. Write the null and alternative hypotheses for a chi-square test of independence on these data (2 points).

3. State and verify the conditions for carrying out the chi-squared test for independence. (2 points)
   
   
   

4. Determine the test statistic, the degrees of freedom, and the P-value. (6 points)
   
   
   
   
5. State your conclusion (6 points):

3. It is frequently difficult for graduate schools to compare students from different undergraduate programs since universities have vastly different scales of assessment. Some schools, for example, are known to in ate grades while others maintain more rigorous grading standards. Say that you are a graduate school admissions officer charged with selecting those applicants that have the best undergraduate grades relative to their peers. You must decide between two students - one from Princeton and one from Temple. The Princeton student has a 3.9 grade point average (GPA), and the Temple student has a 3.4 average (GPA). At Princeton, the mean GPA is 3.65 with a standard deviation of .3, while at Temple the mean GPA is 3.15 with a standard deviation of .27. At both schools, GPAs are Normally distributed. Answer the following questions, and show how you arrived at these conclusions. (14 points)

a. If you are interested in selecting the student with the better record compared to the other students at his/her university, which student do you select and why? Make sure to back up your decision with evidence produced by your quantitative toolkit so that you're able to compare both students despite the fact that their schools are quite different.

b. What proportion of Temple students have a higher GPA than this Temple student (who is applying to graduate school in the above problem)?

High school seniors with strong academic records apply to the nation's most selective colleges in greater numbers each year. Because the number of slots remains relatively stable, some colleges reject more early applicants. Suppose that for a recent admissions class, an Ivy League college received 2851 applications for early admission. Of this group, it admitted 1033 students early, rejected 854 outright, and deferred 964 to the regular admission pool for further consideration. In the past, this school has admitted 18% of the deferred early admisiion applicants during the regular admission process. Counting the students admitted early and the students admitted during the regular admission process, the total class size was 2375. Let E, R, and D represent the events that a student who applies for early admissions is admitted early, rejected outright, or deferred to the regular admissions pool. A) Use data to estimate P(E), P(R), and P(D). B) Are events E and D mutually exclusive? Find P(EUD). C) For the 2375 students who were admitted, what is the probability that a randomly selected student was accepted during early admission? D) SUppose a student applies for early admission. What is the probability that the students will be admitted for early admission or be deferred and later admitted during the regular admission process?

The Weschler Intelligence Scale for Children (WISC) is an intelligence test designed for children between the ages of 6 and 16. The test is standardized so that the mean score for all children is 100 and the standard deviation is 15.

Suppose that the administrators of a very large and competitive school district wish to estimate the mean WISC score for all students enrolled in their programs for gifted and talented children. They obtained a random sample of 40 students currently enrolled in at least one program for gifted and talented children. The test scores for this sample are as follows:

106,142,110,123,135,114,119,118,121,95,154,119,109,131,130,98,117,105,143,94,106,142,110,123,135,114,119,118,121,95,154,119,109,131,130,98,117,105,143,94,

110,167,117,98,125,133,122,98,116,126,127,114,124,134,133,102,125,109,124,109110,167,117,98,125,133,122,98,116,126,127,114,124,134,133,102,125,109,124,109

Click to download the data in your preferred format.  

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Use this data to calculate the mean WISC score,x¯, for these 40 students. Next, compute the standard deviation, SD, of the sampling distribution of the sample mean, assuming that the standard deviation of WISC scores for students in the district is the same as for the population as a whole. Finally, determine both the lower and upper limits of a 95% ?-confidence interval for μ, the mean score for all students in the school district who are enrolled in gifted and talented programs.

Give x¯ and the limits of the confidence interval precise to one decimal place, but give the standard deviation to at least three decimal places in order avoid rounding errors when computing the limits.

x¯=

SD =

Lower limit =

Upper limit =