How would I use my collected data to perform a Bonferri-Holm to examine all pairwise comparisons?
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- Fast-food restaurants may be able to decrease yearly expenses simply by decreasing the size of the paper napkins they provide to patrons. Papel Paper Products is considering pitching the smaller-napkin idea to potential restaurant clients. To determine the receptiveness of different restaurants to the idea, Papel surveyed 400 fast-food establishments chosen at random, and looked at the data according to two variables: type of fast-food restaurant ("burger/sandwich", "Chinese/Mexican", or "other") and attitude toward the smaller-napkin idea ("receptive" or "not receptive.") The data are summarized in the contingency table below. Each of the 6 cells of the table contains three numbers: the first number is the observed cell frequency (f); the second number is the expected cell frequency (f) under the assumption that the two variables type of fast-food restaurant and attitude toward the smaller-napkin idea are not associated; and the third number is the following value. (fo-ƒE)² JE…I need help with this assaigmentA state fisheries commission wants to estimate the number of bass caught in a given lake during a season in order to restock the lake with the appropriate number of young fish. The commission could get a fairly accurate assessment of the seasonal catch by extensive “netting sweeps" of the lake before and after a season, but this technique is much too expensive to be done routinely. Therefore, the commission samples a number of lakes and record the seasonal catch (thousands of bass per square mile of lake area) and size of lake (square miles). A simple linear regression was performed and the following R output obtained. Estimate Std. Error t value Pr(>|t|) (Intercept) 2.5463 0.4427 5.7513 0.0000 size 0.0667 0.3672 0.1818 0.8578 If a scatterplot showed a non-linear relationship between the response and explanatory variables, what should be done? O Nothing. Continue the analysis as is. Stop the analysis. Perform a natural log transformation on the response variable first. O Perform a…
- A researcher is interested in examining whether doctors are as accurate at diagnosing certain illnesses via telehealth as they are in person. She randomly assigns a sample of doctors to either see patients via telehealth or in person, and assesses their diagnostic accuracy. What is the independent variable for the scenario A)The doctors B)Type of visit (telehealth vs in person) C)The patients D)Accuracy of diagnosis E)There is no IV for this type of analysisanswer part 2 , 3 , 4 fully.A study was conducted to determine whether big-city and small-town dwellers differed in their helpfulness to strangers. In this study, the investigators rang the doorbells of strangers living in a large City or small towns in the vicinity. They explained they had misplaced the address of a friend living in the neighbourhood and asked to use the phone. The following data show the number of individuals who admitted or did not admit the strangers (the investigators) into their homes: Helpfulness to strangers Admitted strangers into their home Didnot admit strangers into their home Big city dwellers 60 90 Small town dwellers 70 30 State the dependent and independent variable Is this a directional or non directional
- An ad agency tracks the complaints, by week received, about the billboards in its city: Week 1 2 3 4 6 No. of Complaints 8 4 11 16 8 9 This exercise contains only parts a, b, and c. a) The type of control chart that is best to monitor this process is c- chart b) Using z = 3, the control chart limits for this process are (assume that the historical complaints rate is unknown): = UCLC = 18.49 complaints per week (round your response to two decimal places). LCLC complaints per week (round your response to two decimal places and if your answer is negative, enter this value as 0).I need Help with this question please. Heres what I need: A) Identify the Population and Population parameter of interest B) Decribe the Sample and Sample statistic for the study C) Identify the type of study D) Discuss what additional facts you would want to know before you believed the study or acted on the results of the study.Katy is interested to understand the of herd immunity concept for Singapore's COVID-19 cases. She noted that 95% of adult population in Singapore's is fully vaccinated by the end of October 2021. She want to compare difference of COVID-19 death cases in Singapore's before Singapore's achieve herd immunity and after Singapore's achieve herd immunity. She collects the data of death cases in Singapore's two weeks in the early of October 2021 (to represent before herd immunity) and two weeks in the end of November 2021 (to represent after herd immunity). Assume the variable is approximately normally distributed. The data are presented as below. Before herd immunity After herd immunity 121 109 118 76 117 105 132 53 40 68 55 45 41 24 78 74 64 93 103 68 88 63 47 37 48 45 40 29 a) What test is appropriate to be used in this question? State why. b) Find sample mean and sample standard deviation of the above data. c) Can Katy concluded that the before herd immunity death cases is lower than the…
- 5. Ten competitors in a beauty contest are ranked by three judges in the following order. Judge I: 1 6 5 10 3 2 4 9 7 8 CS Scanned with CamScannerA medical researcher conducted an observational study to understand the recovery rate forpatients infected with the COVID-19 in Malaysia. The researcher contacted thirteen COVID-19 survivors and interviewed them regarding their recovery experience. Two of the questionsasked are the recovery period (in days) and the number of days that have passed since receivingthe second dose of COVID-19 vaccine prior to infection. The recorded data is summarized as i) Identify the dependent variable in the study. ii) Calculate the correlation coefficient and interpret its value. iii) Estimate the regression model parameters and write the estimated linear regressionmodel. iv) Based on your answer in iii), predict the recovery period if a person is infected withCOVID-19 after 200 days of receiving second dose of COVID-19 vaccine. v) Table 1 represents the incomplete ANOVA table of the study. Find the values of P, Q,R and S. vi) Test the linearity between the two variables at 4% significance level.1) Answer the question using daily COVID-19 cases rate data Obtain the first quartile (Q1), third quartile (Q3) and interquartile range (IQR). Interpretthe value of Q1 and Q3