I have a statistics assignment using rstudio and i have no idea what to do worksheet and data set attached

ling with two data sets

D NEED IT DONE TO RECEIVE POINTS FOR THESE CHALLENGE ACTIVITIES. I SEND THE QUESTIONS VIA UPLOADING EACH PROBLEM WITH A SCREENSHOT AS I CANNOT ACCESS THE NEXT QUESTION UNTIL THE CURRENT QUESTION IS ANSWERED RIGHT. I HAVE 3 FAILED ATTEMPTS WITH THIS QUESTION AND NOW NEED HELP WITH THE REMAINING PROBLEMS.

. I'm really close to completing it and I'm really stuck on this one situation and I don't know how to solve it. So right now I'm making a guessing game and every time you play the program tells the user how many guesses it took for them to get the answer. And what I need to do is to make sure that I get and isolate the lowest amount of guess and put it into the statistics function so that way it can print out the lowest amount of guesses that I got. Right now it isn't working and I really don't know why as it seems to be mostly adding up all the guesses until the last few. Here's my code: #include #include #include #include void haiku(){ printf("Welcome to the game.\n"); printf("Guess a number within range.\n"); printf("Win cool prizes here.\n\n"); } int compare(int guessiso){ int lowestvalue=0; int biggervalue=0; if(guessisooperand){ printf("It's lower.\n"); count++; isolatedcount++; } else if(user0){ lowguess=compare(x); x=one_game(count); count=x; printf("Do you want to play again?\n"); scanf("%d",&usertwo); userthree=usertwo; gamecount++; } statistics(gamecount,x,lowguess); }

ou have a lot of background in statistics and calculus, I would really appreciate your help.

problems we would go over. Thank you

ution, regression, decision trees Past paper has 5 questions (attached), we will have 4. Complexity of questions will be reduced slightly for decision trees and regression. Visualisation question – written in word file or hand-written and scanned or photographed. Normal distribution: Sketch using online normal distribution visualisation applet (add notes around this to discuss if necessary) or sketch by hand and scan or photograph. For mathematical workings, use formulae sheet, copy, paste and adapt, or scan / photograph your workings and upload. Decision tree – use Office smart shapes, or sketch by hand and scan or photograph. If formulae are required, then use formula sheet, copy, paste and adapt. Regression – written in word file or hand-written and scanned or photographed. MCDA – written in word file or hand-written and scanned or photographed. Remember if they appear, decision trees and regression will be a little less technical than they have been in the past. (To allow more of a buffer with regards to time available to complete and upload). Visualisation and MCDA questions will be more general (strengths and weaknesses, key messages, make some recommendations). Exam questions will be set so as to minimise practical and logistical difficulties in uploading answers.

multiple choice. It is a statistics year 1 university course and I have attached a file on the exam topics below. If you understand most of these concepts, I would greatly appreciate any help/tutoring you can provide during this during this test. Thank you so much!

, all multiple choice. It is a statistics year 1 university course and I have attached a file on the exam topics below. If you understand most of these concepts, I would greatly appreciate any help/tutoring you can provide during this during this test. I also attached a practice test as an example to see what kind of questions will be will be provided. Thank you so much!

ck accross different land use types. I also want to show relationships between soil organic carbon stock and other physical and chemical soil properties, across 8 sites and 2 soil depths

rently working on 1 d. Can anybody help? thank you, Mai

w-up moments, t1, t2 and t3. It is an ongoing study so not every patient is at t3 yet. Can i show the data in a table and say, there are n=13 at t2, n=3 at t3.... or is it better to make one variable t-follow up and report the last data available of every patient, with the mean follow up time?

d are linked to a higher risk of developing coronary heart diseases. A researcher is investigating two types of interventions (e.g. A, B) to reduce the cholesterol level. Study participants were randomized to receive either intervention A or B. Some subjects dropped from the study due to reasons not related to the interventions. In order to determine which intervention was more effective, the mean cholesterol concentrations were compared between the two groups at the end of the study. The total cholesterol levels for the patients undergoing the intervention A were: 240, 238, 245, 256, 289, 190, 189, 205, 200, 214, 237, 247, 254, 209, 211, 200 mg/dl. The total cholesterol levels for the patients undergoing the intervention B were: 213, 188, 199, 247, 248, 239, 256, 244, 206, 223, 241, 261, 226, and 231 mg/dl. Which intervention was more effective? Consider alpha=0.05. Intervention B was more effective. Intervention A was more effective. Impossible to tell based on the information provided. The two interventions were not statistically significant different.

lly Mann whitney u test, independent sample t-test as well as paired sample t-test. Please help cause I need to pass this module of inferential statistics in psychology in order to graduate Thanking you in advance

atistics. I attempted help with an online school tutor and he informed me that he could not help me because I had a Mac and he used windows! UGH!

example of how it suppose to look my topic that i would like to do it on is blood pressure

basics as well as the Chebychevs rule

s 1) Introduction to discrete probability distributions 2) Binomial distributions 3) Normal probability distributions 4) Central Limit Theoram Please let me know if there is a tutor comfortable with these chapters. Again the assignment is due by midnight

statistics. I have an exam tomorrow and really need help. The chapters are as follows 1) Discrete Probability Distributions 2) Binomial Distributions 3) Normal Probability Distributions 4) The Central Limit Theorem These are the chapters. Please I need help asap! Whoever is good at these chapters please contact me Thank you

A (refresher), linear regression, logistic regression, multivariate regression, chi square test (refresher), and more. CLT is a given, so are probability distributions; I eat MC simulations for breakfast. I only work in Excel; not so much interest in Crystal Ball and other add-ins; I have created my own VBA Excel functions such as Spearman(), triangularprobabilitydist() and PoissonInv(). So hit me with what you got, I am up to the challenge. looking for some fun and challenging time. Availability evenings and weekends; looking at 20+ hours of tutoring over next 6 weeks.

r that. Here the requirement my professor posted: 1. Statement of Abstract for the project. It must explain the scope of the research, and it must include your reasons for choosing this research 2.Statement (Detailed) of your Hypothesis before collecting your data 3. Description of the data you used in the research. This should include a statement describing each data item, its type and purpose. It should also contain a detailed description of how the data was obtained. THat is, was it obtained from interviews and if so, how many interviews were performed and where they were performed. If te data comes from other sources then document those sources 4. Description of Descriptive Statistics, and include copies of the Descriptive Statistics Output. You should also include the data analyzed and compared. What types of Descriptive were performed 5. Statistical Inference Tests (I.e. How your Hypothesis were tested) 6. Statements of your results from Descriptive Analysis and Statistical Inference Testing