From the following data compute Quartile Deviation : Size : 4- 7 8-10 11-13 14-16 17-19 Frequency 14 24 38 20 4 :
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- Find QerivasiveAn epidemiologist is trying to discover the cause of a certain kind of cancer. He studies a group of 10,000 peo-ple for five years, measuring 48 different “factors” involv-ing eating habits, drinking habits, smoking, exercise, and so on. His object is to determine if there are any differ-ences in the means of these factors (variables) between those who developed the given cancer and those who didnot. He assumes that these variables are independent,even though there may be evidence to the contrary. Inan effort to be cautiously conservative, he uses the 0.01level of significance in all his statistical tests.(a) What is the probability that one of these factors willbe “associated with” the cancer, even if none of them is acausative factor?(b) What is the probability that more than one of thesefactors will be associated with the cancer, even if none ofthem is a causative factor?pid-1149495-dt-content-rid-2812777_1/courses/MTH2210C_FS2020/Special%20MTH%202210-C%20Assie 1. A seven-year medical research study reported that women whose mothers took the drug DES during pregnancy were twice as likely to develop tissue abnormalities that might lead to cancer as were women whose mothers did not take the drug. a. This study compared two populations. What were the populations? Explain b. Do you suppose the data were obtained in a survey or an experiment? Explain C. For the population of women whose mothers took the drug DES during pregnancy, a sample of 3980 women showed that 63 developed tissue abnormalities that might lead to cancer. Provide a descriptive statistic that could be used to estimate the number of women out of 1000 in this population who have tissue abnormalities. d. For the population of women whose mothers did not take the drug DES during pregnancy, what is the estimate of the number of women out of 1000 who would be expected to have tissue…
- #Original immigrant datax = c(61159, 57524,56186,52254,54884,51869,29743,39877,50086,53672,65707,73861) #Age of labor dataage_over_16 = x*0.95 #Illegal immigrant data of employede1 = age_over_16*0.65 #Illegal immigrant data of unemployede2 = age_over_16*0.04 #Illegal immigrant data of Not in the labor forcee3 = age_over_16*0.30 What linear regression model should I use in R? Thanks.What is the general purpose of a tukey HSD test12 LI %23 ider/instance/62430fc2e83f3405364c9985/student/624334970e2d0b1b8a1f3e3a#screenld%3Dc8daf9ae-4b98-4053-89fd-39c92db87ef2 Translate the Eqyptian numbers into Base-10 numbers 图 Submit Submit U 666 J J J}} }} U 666J J }JJ JJ I| U U UU 6 66 00 Ř Ř 3. 2. 4. 5 6. 7. 014 end R. 8. Insert 6. delete backspace num P. K 99 enter
- Suppose a UQDS is already organized using an equal width grouped FDT. After a while, some missed observations are added to the dataset and another equal width grouped FDT is constructed based on the new dataset. Assuming the range of the dataset doesn't change (after adding those missed observations), if the number of classes in the new grouped FDT is increased by (100p) % (0 < p < 1), then the width of the new grouped FDT decreases by (100)% None decreases by (100(1-P))% 1+p increases by (100(1-P)) % 100p 1+p increases by (10) % decreases by (100) % increases by Time left 8:00:58 %My data sets were given in picture which I sent in front of my nameQuestion 2: Using Microsoft Excel: (Excel file Assignment10_R1.xlsx on the Exercise1_Excel_Built-in f.xlsx worksheet) Times Late/Absent Final Exam Grade 1 4 84.00 2 6 92.50 3 16 46.00 4 2 93.00 5 11 95.50 6 24 20.00 7 7 39.00 8 10 46.00 9 19 63.00 10 2 73.50 11 2 98.00 12 17 24.50 13 8 73.00 14 20 69.50 15 19 49.00 16 23 68.50 17 6 70.00 18 4 75.50 19 2 78.00 20 7 97.00 21 2 100.00 22 2 93.50 Count the number of XY variables. Calculate the mean and sample standard deviation of both the independent and dependent variables. Calculate the correlation coefficient, r, using Excel’s CORREL function. Explain what it means. Calculate the coefficient of determination, r2, using Excel’s RSQ function. Explain what it means.
- The 2020 Sabah state election took place on 26 September 2020. The collected data is tabulated in Table Q6 below. It shows the detected COVID-19 cases nationwide and in Selangor state in Malaysia after the election. The cases in Sabah have contributed significantly to the increase in Malaysia COVID-19 cases during this period. We want to know whether cases in Selangor have contributed significantly to the whole COVID-19 cases in the country or not in given period. (refer to the uploaded image) i. Determine the regression line equation from the given data. ii. Calculate the coefficient of Pearson correlation from the given data.ii. Conclude the correlation between COVID-19 case data collected for daily new COVID-19 case in Malaysia and Selangor State. From the correlation, do you think the cases in Selangor strongly affect the number of COVID-19 cases in the country in the given 10 days? Please justify your answer.can you make a questionnaire of minimum 50 medical students to know Covid-19 safety Protocol awereness among practicing ENT?Over the last Ten months, the following numbers of absences have been reported: 39, 12, 8, 12, 1, 31 , 22, 23, 12 and 39. What is the mode number of monthly absences?