Questions
8. Assume you have a singly linked list with no tail pointer. Implement removeTail(). Raise an...

8. Assume you have a singly linked list with no tail pointer. Implement removeTail(). Raise an exception of the method is called on an empty list.
template<typename Object> class LinkedList {
private:

class Node {

Object data;

Node* next;

};

Node *head;
public:

LinkedList() : head(nullptr) {}

Object removeTail(Object data);

};


9. What are iterators? What purpose do they serve?
10. What does it mean to invalidate an iterator?
11. Explain the difference between separate chaining and open addressing in hash tables.
12. Define load factor and explain its relevance to hash table performance.
13. What are collisions with respect to hash tables?
14. Which hash tables distinguish between slots that have never been used, and slots that once contained an item but has now been deleted.
15. List and explain the worst-case and average-case running times for each HashTable method below
(a) void insert(Key k, Value v)

(b) bool contains(Key k)

(c) Value get(Key k)

In: Computer Science

99% confidence interval of the difference (Height in feet) F Sig. t df Sig. (2-tailed) Mean...

99% confidence interval of the difference

(Height in feet) F Sig. t df Sig. (2-tailed) Mean difference Std. Error difference Lower upper
Equal variances assumed 2.854 .091 -1.608 3573 .108 -.032 .020 -.082 .019
International Student N Mean Std. Deviation Std. Error Mean
No 3280 5.05 .322 .006
Yes 295 5.09 .328 .019

This question has 10 parts. Each of the 10 parts (Part A - Part J) has a dropdown list of possible answers. Choose the best answer from the dropdown list for EACH part of the question below.

Your analysis will focus on the variables "Height in feet" (NQ49_FT) and "International student" (NQ55)

Note: Be careful NOT to use the different variables NQ49_IN (Height in inches) or HT_INCH (Height in Inches)

Investigators are wondering if there is a difference in the average height in feet of international students compared with non-international students at CSUN. To examine their research question of interest, they will use data from the sample of CSUN students contained in the HSCI390.sav dataset. Using SPSS, test whether there appears to be a difference in the average height in feet of international students at CSUN when compared to non-international students at CSUN, using an alpha level (α) of 0.01. Provide the following information:

You will use the information above to complete the question parts below.

Part A: Which of the following represents the appropriate null hypothesis (H0), given this research question of interest?

PART A ANSWER: H0:                            [ Select ]                       ["µ1 - µ2 = 5.5", "µ1 - µ2 = 6.1", "µ = 5.3", "µ1 - µ2 = 0", "µ ≠ 0.78"]      

Part B: Which of the following represents the appropriate alternative hypothesis (H1), given this research question of interest?

PART B ANSWER: H1:                            [ Select ]                       ["µ1 - µ2 ≠ 6.1", "µ1 - µ2 ≠ 0", "µ1 - µ2 = 5.5", "µ ≠ 5.3", "µ = 0.78"]      

Part C: What is the mean height in feet of international students ("International student"=Yes)?

PART C ANSWER:                            [ Select ]                       ["5.73", "5.56", "5.88", "5.09", "4.98"]      

Part D: What is the mean height in feet of non-international students ("International student"=No)?

PART D ANSWER:                            [ Select ]                       ["5.05", "5.14", "5.52", "5.28", "5.91"]      

Part E: How many people in your sample are international students ("International student"=Yes)?

PART E ANSWER:                            [ Select ]                       ["247", "295", "326", "385", "459"]      

Part F: How many people in your sample are non-international students ("International student"=No)?

PART F ANSWER:                            [ Select ]                       ["489", "3024", "3692", "2805", "3280"]      

Part G: What is your t statistic?

PART G ANSWER:                             [ Select ]                       ["-2.417", "-1.608", "-0.531", "-4.298", "1.972"]      

Part H: What is your degrees of freedom?

PART H ANSWER:                             [ Select ]                       ["2904", "3573", "1317", "3201", "2685"]      

Part I: What is the p-value associated with your test statistic?

PART I ANSWER:                             [ Select ]                       ["0.452", "0.006", "0.108", "0.722", "0.563"]      

Part J: What is your decision about the null hypothesis based on your test results?

PART J ANSWER:                             [ Select ]                       ["Reject the null", "Fail to reject (i.e., retain) the null"]      

In: Statistics and Probability

Suppose that a student in this class uses their personalized class data set to test the...

Suppose that a student in this class uses their personalized class data set to test the hypothesis that more than 50% of the people in this class are in Business, and rejects the null hypothesis at the 2% significance level. Consider the following statements.
(i) The p-value is greater than .02.
(ii) If another student in this class tested the same hypothesis with their personalized class data set, using the same significance level, then that student might not reject the null hypothesis.
(iii) The proportion of students in this class who are in business might not be greater than 50%.
(iv) A Type I error might have occurred.
(v) The probability of Type II error is greater than 2%.

Determine which of the above statements are true or false.

In: Statistics and Probability

The following table gives the weights, to the nearest kilogram, of randomly-selected male university students. 69...

The following table gives the weights, to the nearest kilogram, of randomly-selected male university students. 69 82 75 66 72 63 74 78 73 79 70 74 68 74 76 72 84 63 69 78 81 60 77 83 73 86 71 68 76 70 68 80 73 67 71 75 78 73 64 73 a. Using class intervals of size 5kg, construct a frequency distribution of the above data. b. Using the grouped data, calculate the following quantities: iv. Quartile number 1 v. Quartile number 3 vi. Variance vii. Standard Deviation (1 mark)

In: Statistics and Probability

Explain how loss to follow-up could bias findings in a cohort study of physical activity in...

  1. Explain how loss to follow-up could bias findings in a cohort study of physical activity in college and subsequent diagnosis of diabetes.
  2. Explain how recall bias could affect a case-control study of type 2 diabetes diagnosed in adults age 45 to 64 years and physical activity during young adulthood (while age 18 to 24 years)
  3. Explain how selection bias could affect a case-control study of type 2 diabetes diagnosed in adults age 45 to 64 years and physical activity during young adulthood. Assume cases are identified as adult diabetic patients attending a diabetes management seminar at a local hospital and controls are selected from non-diabetic patients admitted to the hospital during the week the seminar was offered. Further assume that cases and controls are matched on age and sex.

In: Advanced Math

Below are the data you collect, based on a prospective cohort study in which non-obese children...

  1. Below are the data you collect, based on a prospective cohort study in which non-obese children were followed over 10 years. Children in the top 25th percentile of self-reported SSB consumption during the first year of the study were categorized as SSB consumers. All other children were categorized as non-SSB consumers. Blood was drawn from the children at enrollment, and all were tested for the presence of the genetic variant. Calculate the appropriate measures of the crude association between SSB consumption and obesity status, with 95% confidence intervals.

Obese

Not obese

Total

SSB consumer

125

125

250

Non-SSB consumer

250

500

750

Total

375

625

1000

In: Statistics and Probability

Question 1 of 4 A family plans to have 3 children. For each birth, assume that...

Question 1 of 4

A family plans to have 3 children. For each birth, assume that the probability of a boy is the same as the probability of a girl.

What is the probability that they will have three children of the same gender?

A- 0.5

B- 0.25

C- 0.375

D-0.125

E-none of these

Question 2 of 4

A person in a casino decides to play blackjack until he loses a game, but he will not play more than 3 games. Let L denote a loss and W denote a win.

What is the sample space for this random experiment?

A- S = {LLL, LLW, LWL, LWW, WLL, WLW, WWL, WWW}

B- S = {L, LW, LLW, LLL}

C- S = {L, LL, LLL}

D- S = {L, WL, WWL, WWW}

F- S = {L, WL, WWL}

Question 3 of 4

A person in a casino decides to play 3 games of blackjack. Let L denote a loss and W denote a win. Define the event A as "the person loses at least one game of blackjack."

What are the possible outcomes for this event?

A- {LLL, LLW, LWL, LWW, WLL, WLW, WWL}

B- {LLL, LLW, LWL, LWW, WLL, WLW, WWL, WWW}

C-{LWW, WLW, WWL}

D- {L, WL, WWL}

E-{L, LL, LLL}

Question 4 of 4

Four students attempt to register online at the same time for an Introductory Statistics class that is full. Two are on the football team and two are on the basketball team. They are put on a wait list. Prior to the start of the semester, two enrolled students drop the course, so the professor randomly selects two of the four wait list students and gives them seats in the class.

What is the probability that both students selected play the same sport?

A, 1/12

B, 1/6

C, 1/3

C, 1/2

D, It is impossible to tell because the outcomes are not equally likely.

In: Statistics and Probability

Determine the missing properties for refrigerant R134a (CF3CH2F) for each state given. Show your three step...

Determine the missing properties for refrigerant R134a (CF3CH2F) for each state given. Show your three step decision process: i.e. 1) list two known properties, 2) determine the phase, 3) look up/interpolate properties from the correct table and show all calculations made for each case.

Phase/quality T P v u h
Phase name/X celcius kPa m^3/kg kJ/kg kJ/kg
Sat. liquid 520
10 0.012
73 685
375 120

In: Mechanical Engineering

The following is a list of economic events: i) Purchased inventory on account ii) Paid dividends...

The following is a list of economic events:

i) Purchased inventory on account

ii) Paid dividends at the end of the year

iii) Received cash in payment for services

iv) Issued shares (contributed equity) for cash

v) Paid rent in cash

vi) Received a bill for electricity used

vii) Bought equipment for cash

viii) Billed customers for services

to make consistent with other answer formats change to:

a) indicate the accounts that would be affected by each transaction

b) Indicate whether each transaction increases, decreases or has no effect on assets liabilities or shareholders equity.

In: Accounting

77) According to the National Institute on Alcohol Abuse and Alcoholism (NIAAA) and the National Institutes...

77) According to the National Institute on Alcohol Abuse and Alcoholism (NIAAA) and the National Institutes of Health (NIH), 41% of college students nationwide engage in "binge-drinking" behavior: having five or more drinks on one occasion during the past two weeks. A college president wonders if the proportion of students enrolled at her college who binge drink is actually lower than the national proportion. In a commissioned study, 347 students are selected randomly from a list of all students enrolled at the college. Of these, 130 admit to having engaged in binge drinking. The college president is more interested in testing her belief that the proportion of students at her college who engage in binge drinking is lower than the national proportion of 0.41. What is the P-value? (Round your answer to four decimal places.)
P-value =

78) The Dow Jones Industrial Average (DJIA) high values and the total number of points scores in the Super Bowl were recorded for 20 different years. Software was used to find that the value of the linear correlation coefficient is r = 0.83.

Is there a linear correlation at the α = .05 level between DJIA high value and Super Bowl points?

A) Yes, because the absolute value of 0.83 is less than the critical value.

B) Yes, because the absolute value of 0.83 is greater than the critical value.  

C) No, because the absolute value of 0.83 is less than the critical value.

D) No, because the absolute value of 0.83 is greater than the critical value

In: Statistics and Probability