assignment(50) 06 (1)

Help on all the parts including 2 cuz idk if it's correct

I need 41, 42, 43, and 44 please.

Please solve part d, e, f, g. In a certain jurisdiction, all students in Grade Three are required to take a standardized test to evaluate their math comprehension skills.The file contains these data resulting from a random sample of n=30 schools within this jurisdiction. From these data you wish to estimate the model Yi=β0+β1Xi+ei where Xi is the percentage of Grade Three students in School i who live below the poverty line and Yi is the average mathematics comprehension score for all Grade Three students in the same school, School i. The observed data for the X variable is labled perbelowpoverty and the observed data for the Y variable is labeled mathscore in the file.Import (either hand type or load the file) data into R Studio, then answer the following questions based on the data.(a) Create a scatterplot of the data. What can you say about the nature of the relationship between the percentage of Grade Three students living below the poverty line in a certain school and the school's…

File Edit View Home - myRCC History Female X A Male 13 Bookmarks Profiles Tab Window Help mylearning.suny.edu/d21/le/content/920969/viewContent/25846499/View Giving a test to a group of students, the grades and gender are summarized below B.1 HW-23FA STATISTICS (81 x B C Total 11 18 8 15 16 Total 21 26 34 Submit Question 42 39 81 If one student was chosen at random, find the probability that the student got a B. Give your answer as a fraction or decimal. Question Help: Video + A BLO O 23 MacBook Air

A professor at the University of Iowa was interested in evaluating whether domestic dispute calls were more dangerous to officers than other types of calls. Collecting information on call for service and whether the call resulted in officer injury. The data is displayed in the contingency table below.       Type of Call     Domestic Dispute Not a Domestic Dispute Officer Injury No 128 675   Yes 245 786     Using the information to complete Table 1 and answer the questions below.   Table 1. Chi-square (4 points, 1 per column) Category Observed Expected O – E (O – E)2 (O – E)2/E No, Domestic 128         No, Not Domestic 675         Yes, Domestic 245         Yes, Not Domestic 786                   What is the scale of measurement of the dependent variable?     What is the value for the chi-square?     Using an alpha level of 0.05, what is the critical…

I have attached the picture for review. Please answer section A, B, C.

Please circle your answers. Thank you in advanced!

iris is a built-in R data set (data frame). This data set contains gives the measurements in centimeters of the variables sepal length and width and petal length and width, respectively, for 50 flowers from each of 3 species of iris. The species are Iris setosa, versicolor, and virginica. We are interested in some descriptive statistics related to the Sepal.Width column of the data frame. We can access the data directly by using the assignment x <- iris$Sepal.Width (In R use ?iris for info on this dataset.)Remember: x <- iris$Sepal.Widtha.Calculate the sample median of x. b. Using the R quantile function, find the .80 quantile of x.(80th percentile) c. Calculate the interquartile range of x using R. d. Calculate the sample mean of x. e. Calculate a 4% trimmed mean for x. f. Calculate the sample variance of x. g. Calculate the sample standard deviation of x. h. What proportion of the x values are within 2.0 sample standard deviations from the sample mean i. Calculate the minimum…

Please answer part d, e, f, and g In a certain jurisdiction, all students in Grade Three are required to take a standardized test to evaluate their math comprehension skills.The attached contains these data resulting from a random sample of n=40 schools within this jurisdiction. From these data you wish to estimate the model Yi=β0+β1Xi+ei where Xi is the percentage of Grade Three students in School i who live below the poverty line and Yi is the average mathematics comprehension score for all Grade Three students in the same school, School i. The observed data for the X variable is labled perbelowpoverty and the obvserved data for the Y variable is labeled mathscore in the .csv file.Import (either hand type or load the file) data into R Studio, then answer the following questions based on the data.(a) Create a scatterplot of the data. What can you say about the nature of the relationship between the percentage of Grade Three students living below the poverty line in a certain school…

***given the calculations, how do I apply it to the data taken?***

PLEASE ANSWER PARTS D AND E ONLY. Thank you.

A sociologist wants to determine if the life expectancy of people in Africa is less than the life expectancy of people in Asia. The data obtained is shown in the table below. Africa Asia = 63.3 yr. 1 X,=65.2 yr. 2 o, = 9.1 yr. = 7.3 yr. n1 = 120 = 150

PART I: For this part, we will divide the data set into two groups: those who have infection and those who do not. Consider only those who have an infection.1. For these subjects only, construct a stemplot for the variable “heart rate”. (We will be making this into a back-to-back stemplot later, so leave room on the left side.)2. Discuss the shape of your stemplot. Is it symmetric? Positively skewed? Negatively skewed? None of these? Are there any outliers?3. How would you describe the center and the spread of this distribution?4. Find the five-number summary.5. Construct a box plot.

Please show me your solutions and interpretations. Show the completehypothesis-testing procedure.A manufacturing company produces bearings. One line of bearings is specified to be 1.64 centimeters (cm) in diameter. A major customer requires that the variance of the bearings be no more than 0.001 cm2. The producer is required to test the bearings before they are shipped, and so the diameters of 16 bearings are measured with a precise instrument, resulting in the following values:1.69 1.62 1.63 1.70 1.66 1.63 1.65 1.71 1.64 1.69 1.57 1.64 1.59 1.66 1.63 1.65Assume bearing diameters are normally distributed. Use the data and α = 0.025 to test the data to determine whether the population of these bearings is to be rejected because of too high variance.