Question 1. (10 points) Trosset chapter 15.7 exercise 5.

Assume that the population of all sister-brother heights has a bivariate normal distribution and that the data in Table 14.4 were sampled from this distribution.(a) Compute the sample coefficient of determination, the proportion of variation “explained” by simple linear regression.(b) Let . Do these data provide convincing evidence that knowing a sister’s height helps one predict her brother’s height ?(c) Construct a 0.90-level confidence interval for the slope of the population regression line for predicting from .(d) Suppose that you are planning to conduct a more comprehensive study of sibling heights. Your goal is to better estimate the slope of the population regression line for predicting from . If you want to construct a 0.95-level confidence interval of length 0.1, then how many sister-brother pairs should you plan to observe?

A manufacturer of a new medication on the market for Parkinson’s disease

Question A manufacturer of a new medication on the market for Parkinson’s disease makes a claim that the medication is effective in 75% of people who have the disease. One hundred fifty individuals with Parkinson’s disease are given the medication, and 100 of them note the medication was effective. Does this finding provide statistical evidence at the 0.05 level that the effectiveness is less than the 75% claim the company made? Make sure to include parameter, conditions, calculations, and a conclusion in your answer.

Please read the essays in chapter one of the Enduring Debate book “What

Question Get Answer Please read the essays in chapter one of the Enduring Debate book “What Does It Mean to Be an American?” by Steven Warshawsky and “The Three Political Cultures” by Daniel Elazar. engage each and explain which values you think most distinctly define American culture and why. engage the central elements of each of the readings in an effort to illustrate your points.

20.A survey conducted among students in the school cafeteria asked a set of questions listed below.

Question 20.A survey conducted among students in the school cafeteria asked a set of questions listed below. Which survey question would produce a qualitative response? How many hours do you spend reading books every day?What is your favorite dish?How many cups of fruit juice do you drink daily?How many servings of fruit do you eat each day?21.A factory manufactures bolts. One of its employees, working in the quality control department, checks the first 20 bolts manufactured in a day for possible defects.This is what type of sampling?Voluntary response samplingSystematic samplingConvenience samplingStratified sampling22.A survey result shows that cell phone usage among teenagers rose from 63% in 2006 to 71% in 2008.Of the following choices, which statement about cell phone use among teenagers is true?Cell phone usage rose by 12.7%.Cell phone usage rose by 11.2 percentage points.Cell phone usage rose by 8%.Cell phone usage rose by 12.7 percentage points.23.Which of the following data types will be continuous? The number of students who like chocolate or strawberry or vanilla ice-cream flavorsThe amount of snow that fell last nightThe number of books in the school libraryThe letter grade Tyron received on an English test24.Rob sent an email survey to 2,000 cell phone owners asking about their satisfaction with their current plan. Only 256 people returned the survey and they were predominately 18-24 years old. Which of the following statements is true?Rob is ignoring the assumption that all survey participants will want to act independently. The survey suffers from census issues because only 256 people responded. Rob included too many people on the survey list, affecting the data collected.The survey likely has bias because the people who could not answer differ from those who did answer.25.A local bakery conducts a phone survey to find the most popular types of cakes. They selected 100 random phone numbers from the local telephone directory and called them.This type of sampling method is called __________.Simple random samplingMulti-stage samplingSystematic random samplingConvenience sampling26.Jenae changed the original coffee labels with plain white ones that had the flavor printed in bold black letters, and she placed them on the coffee pots for the week-long experiment.Jenae used an aspect of experimental design known as ________ when she created the labels to have the same appearance.a control randomizationa treatmentreplication28.Jay wants to study nutrition and performance in schools using available data.Which of the scenarios below will provide Jay with available data? Going to a local high school and asking the principal for information about students’ previous grades, then interviewing a random selection of students about their eating habits. Going to a local high school and asking the principal for information about students’ current and previous grades, then asking the health teacher for the results from a survey students took in health class.Going to a local college and asking current undergraduates to report their grades and eating habits from high school.Going to a local high school and asking the principal for information about students’ current and previous grades, then interviewing a random selection of students about their eating habits. 29.Which of these statements best defines a stratified random sample?It is a sample where the population is first broken into groups and then elements are randomly selected, in proportion, from each group.It is a sample where every nth element of the population is selected in a sequence.It is a sample in which every element has the same chance of being selected from the total population.It is a sample where the population is divided into roughly equal groups, and then elements are randomly selected from each group.

13.Mike wants to find out the approximate income for professors in Michigan.

Religion and Theology Assignment Writing ServiceQuestion 13.Mike wants to find out the approximate income for professors in Michigan. He decides to randomly select 50 professors who work for a college or university in Michigan and obtain their salaries.What are the sample and the population of Mike’s study? -All of the professors who work in Michigan are the sample, and the 50 professors that Mike interviews are the population. -The 50 professors that Mike interviews are his sample, and all of the professors who work in Michigan are the population. -The 50 professors that Mike interviews are his sample, and the professors that Mike does not interview are the population. -The professors in Michigan are the sample, and all the professors in the United States are the population. 14.Aaron has designed a trial to test a new energy drink. Fifty individuals in the treatment group try the new energy drink every day for two weeks, and they describe a moderate increase in their energy levels. Fifty individuals in the control group drink sugar water every day for two weeks, and they describe a significant increase in their energy levels.What has Aaron observed? -A confounding variable -A sampling error -The placebo effect -The margin of error15.Which of these random samples represents a representative sample of the number of students who enjoy science class? -30 students who participated in the science fair -30 students who received high grades in their science class last semester -30 students in the lunchroom -30 students who failed science class last year16.Several scientific and statistical studies have been done to determine whether or not pollutants in soil increase the incidence of cancer. A study based on many previous studies summarizes that there is no link between pollutants in soil and cancer.This kind of statistical study is called a __________. -Matched-pair design -Clinical trial -Prospective study -Retrospective study17.On a candy production line, 3% of bags are overfilled. An employee randomly selects 100 bags and finds that 5% are overfilled. A second employees takes another random sample of 250 bags and finds that 2% are overfilled.Which of the following explains why there is a difference between the two percentages? -The sample sizes were both too small, which is why they both obtained figures different than 3% -Random error; the numbers were different due to variability inherent in sampling. -The samples were not random samples. -Both samples suffered from non-response bias.18.Select the correct statement regarding experiments. -A researcher can neither control the environment nor observe the response. -A researcher can control the environment but cannot observe the response. -A researcher cannot control the environment but can observe the response. -A researcher can control the environment and observe the response.19.A researcher would like to determine which age groups (18-29, 30-49, 50-64, 65 or older) in the United States currently identify playing golf as their favorite pastime.Which statistical study would be most appropriate to answer this question? -A prospective observational study -A census -A single-blind experiment -A survey20.A survey conducted among students in the

Please answer both parts: n = 30, theta 0.3212466, y = 9,

Question Please answer both parts: n = 30, theta 0.3212466, y = 9, thetahat = 0.3theta0 = 0.5 observed value of likelihood ratio statistic = 4.936973 approximate p-value for testing hypothesis theta = theta0: 0.02628804 observed value of approximate Normal test statistic = 2.19089 approximate p-value for testing hypothesis theta = theta0: 0.02845974 exact p-value for testing hypothesis theta = theta0: 0.04277395 a) Compare the approximate p-values and explain any differences. b) Based on the approximate p-value calculated using the likelihood ratio statistic, state your conclusion regarding the hypothesis theta=theta0 using the following table:where ,

Please answer both parts: n = 40 , theta = 3.950485 thetahat = 4.025

Question Please answer both parts: n = 40 , theta = 3.950485 thetahat = 4.025 theta0 = 4.6 y = 9observed value of likelihood ratio statistic = 3.002892 approximate p-value for testing hypothesis theta = theta0: 0.08311605 observed value of approximate Normal test statistic = 1.695582 approximate p-value for testing hypothesis theta = theta0: 0.08996498 exact p-value for testing hypothesis theta = theta0: 0.09695202 a) Compare the approximate p-values and explain any differences. b) Based on the approximate p-value calculated using the approximate Normal test statistic, state your conclusion regarding the hypothesis theta=theta0 using :where ,

Please answer both parts: n = 35 theta = 9.542433

Question Please answer both parts: n = 35 theta = 9.542433 thetahat = 5.891461 theta0 = 2.7 observed value of likelihood ratio statistic = 28.12392 approximate p-value for testing hypothesis theta = theta0: 1.137905e-07 observed value of approximate Normal test statistic = 6.99294 approximate p-value for testing hypothesis theta = theta0: 2.691847e-12 exact p-value for testing hypothesis theta = theta0: 8.536653e-08 a) Compare the approximate p-values and explain any differences. b) Based on the approximate p-value calculated using the likelihood ratio statistic, state your conclusion regarding the hypothesis theta=theta0 using:where:

USING SPSS This exercise requires use of a computer package. The accompanying

Question Get Answer USING SPSS This exercise requires use of a computer package. The accompanying n = 25 observations on y = catch at intake (number of fish), x1 = water temperature (°C), x2 = minimum tide height (m), x3 = number of pumps running, x4 = speed (knots), and x5 = wind-range of direction (degrees) constitute a subset of the data that appeared in the article “Multiple Regression Analysis for Forecasting Critical Fish Influxes at Power Station Intakes” (Journal of Applied Ecology [1983]: 33- 42). Use the variable selection procedures discussed in this section to formulate a model. y x1 x2 x3 x4 x517 6.7 0.5 4 1 0 5042 7.8 1.0 4 24 301 9.9 1.2 4 17 12011 10.1 0.5 4 23 308 10.0 0.9 4 18 2030 8.7 0.8 4 9 1602 10.3 1.5 4 13 406 10.5 0.3 4 10 150 11 11.0 1.2 3 9 5014 11.2 0.6 3 7 10053 12.9 1.8 3 10 909 13.2 0.2 3 12 504 16.2 0.7 3 6 80 3 15.8 1.6 3 7 1207 16.2 0.4 3 10 509 15.8 1.2 3 9 6010 16.0 0.8 3 12 907 16.2 1.2 3 5 16012 17.1 0.7 3 10 9012 17.5 0.8 3 12 11026 17.5 1.2 3 18 130 14 17.4 0.8 3 9 6018 17.4 1.1 3 13 3014 17.8 0.5 3 81 605 18.0 1.6 3 10 40

A camera manufacturer just shipped a batch of 36 digital cameras to local

Question A camera manufacturer just shipped a batch of 36 digital cameras to local retailers and seven of the cameras have a defective sensor. Cutler Electronics received eight of these digital cameras. What is the probability that three or four of the cameras shipped to Cutler are defective? A) 0.1649 B) 0.2366 C) 0.3417 D) 0.4782

The World Bank collected data on the percentage of GDP that a country

Question The World Bank collected data on the percentage of GDP that a country spends on health expenditures (“Health expenditure,” 2013) and also the percentage of women receiving prenatal care (“Pregnant woman receiving,” 2013). The data for the countries where this information is available for the year 2011 are in table #10.1.8. Find the correlation coefficient and coefficient of determination and then interpret both.

Get Answer R CodingQuestion 1

(a) Use the setwd() function to set your directory to a folder that you

Question Get Answer R CodingQuestion 1

(a) Use the setwd() function to set your directory to a folder that you will be using for this assignment [2] (b) Think of any 5 statistical distributions and the domain of their pdf’s. Type out x1, x2, . . .,x5 as 5 different vectors. Also type out the parameters for each of these distributions θ1, θ2, . . ., θ5. Type out the formula for the outputs y1, y2, . . .,y5 as a function of xi and θi . Some of the distributions you choose will have more than one parameter. [5] (c) For each of the distributions above, write function that inputs only the parameters, and a vector of x values as arguments. Name the parameters accordingly. The function must return a list of y, x, n, and the parameter. [Hint: ?return, function, ?list, ?seq] [10] (d) Provide short description of how you can extract values returned by a function after you have run a function with its arguments. Also explain why it would be necessary to extract these values. [5]Question 2 Double click to open the following and use the following dataset (extracted from Excel) to answer the questions that follow: Names,Surnames,Student Number John ,,2O02112201 Sara,Jones, 20182OO123 James,Hannes,2018654781 Ntokozo,Ali, Mohammed ,Smith,2018876554 Palesa,Rapelang,2018673074 (a) Save this dataset (Excel format) to your working folder and read the dataset into R using an appropriate name. [2] (b) Input function that takes the a dataframe as an argument and cleans the the data. The function must return the following: 1. A vector (“list”) of missing names Page 1 of 2 2. A vector (“list”) of missing surnames 3. A vector (“list”) of missing student numbers [Hint:?which, ?is.na, df[which(some_statement), some_column]] (c) Besides missing student numbers, describe errors that you see in the student number column. (d) In the same function, clean the student numbers. Find the errors and then correct them. [hint: ?ifelse]

The Brady

Question The Brady

The average live weight of a farmer’s steers prior to slaughter was

Question Get Answer The average live weight of a farmer’s steers prior to slaughter was 380 pounds and the standard deviation was 35 pounds, before a new diet was introduced. Suppose you are planning an experiment to investigate the effect of this new diet on steer weight. You plan to feed the standard diet to a randomly selected sample of steers and feed the new diet to an independent sample of randomly selected steers. You anticipate using a two-tailed test at α = 0.05. Suppose you have decided that a 10% increase in the mean weight would be important, and so you want to have good power (90%) to detect a difference of this magnitude. How many steers should you have in each group?

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