Comparative boxplot for Exercise 58 Machine 2- 1- Dimension 85 95 105 115
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A company utilizes two different machines to manufacture
parts of a certain type. During a single shift, a sample
of n 5 20 parts produced by each machine is
obtained, and the value of a particular critical dimension
for each part is determined. The comparative boxplot at
the bottom of this page is constructed from the resulting
data. Compare and contrast the two samples.
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- The human body is a complex, highly organized structure of cells that work together to accomplish the specific functions necessary for sustaining life. Each human has individual characteristics that uniquely define who they are, but there are characteristics about the human body that have much less variability. One of these is the measurement around the calf muscle's widest part. For this dataset, N = 507 individuals in their twenties and thirties who exercised several hours each week measured around the widest part of both calf muscles and the average maximum girth in centimeters was recorded. We will use this data to get better acquainted with the Empirical Rule. Empirical Rule 68% of data 95% of data 99.7% of data -30 -20 -1o +1o 20 +30 For data that can be reasonably assumed to follow a normal distribution with mean u and standard deviation a, the Empirical Rule can be used to get a sense of where the data values are located in the distribution with regards to the mean. Refer to…During the COVID-19 pandemic, drive-up grocery delivery became very popular with customers. Two US retailers that provide this service are Target and Walmart. Many shoppers prefer to order from only one store to save time, but they wonder if they are spending more money shopping at one store rather than both. The data file Snacks has the prices for 20 identical snack items sold at both retailers in Mankato, Minnesota. Assume that µd is the mean difference (Target - Walmart) in the price of the items. Using α = .05, determine whether or not the price of these grocery items differed significantly. Perform your analysis using MegaStat. Download: Snacks a. What type of analysis should you use to analyze this data? Explain the reason for your choice. b. State the hypotheses for this analysis. c. Calculate the degrees of freedom for this analysis. d. State the Decision Rule for this analysis. e. Perform the analysis and identify the mean price of the Target items, the mean price of the…Suppose a researcher conducted a study examining the effectiveness of font type (OpenDyslexic vs. Times New Roman) on reading comprehension for 20 students with dyslexia. After reading a passage in one of the two fonts, 10 students in each of the two font conditions completed a brief reading comprehension test of 15 questions. The number of correctly answered questions for each student is given in the table below: Complete the following in the context of conducting data analysis/ a. Calculate the average number of correct test questions for each group b. Calculate the standard deviation for each group c. Calculate the median and mode for both groups d. Calculate the interquartile range for each group OpenDyslexic 10 9 11 8 24867 12 14 Times New Roman 6675 & Na 43 4 2 8 9
- An army that overhauls ground mobile radar systems is interested in improving its processes. One problem involves troubleshooting a particular component that has a high failure rate after it has been repaired and reinstalled in the system. The shop floor supervisor believes that having standard work procedures in place will reduce the time required for troubleshooting this component. Time (in minutes) required troubleshooting this component without and with the standard work procedure is recorded for a sample of 19 employess. In order to determine if having a standard work procedure in place reduces troubleshooting time, they should use: a test of two proportions a two-tailed test of two independent means. a one-tailed test of two indepedent means. a two-tailed paired t-test. a one-tailed paired t-testComment on one aspect of the comparison of data from the twodatasets that can be seen more easily on the histograms than onthe boxplots.A least squares line for a sample with 11 observations has an SSE = 192; calculate and s. Please show your work So i can understand how you arrived at the answer
- Food deserts have become a particularly hot topic in the public health community as anexplanation for a variety of negative health outcomes in disadvantaged areas. Aresearcher is interested in comparing the average shelf space provided by supermarkets,convenience stores, and corner stores in two different communities in order to address thegrowing concern for food deserts. Assume the following table reports the summary statistics for shelf space dedicated to fresh fruits and vegetables (meters) obtained from SRSs of a variety of different stores that supply groceries from each community. Community Average Shelf Space For Fruits and Veg. (m) Sample Standard Deviation Sample Size "Food Desert" 13.7 2.4 12 Other Community 89.4 14.6 14 a) Carry out the appropriate statistical test in order to determine if there is a significant difference in mean shelf space between the two communities at the alpha level of 0.05. Assume all conditions for the test are met. Do not assume equal…A research team is interested in investigating the effectiveness of a new medication intended to reduce resting heart rate (beats per minute, BPM) in overweight patients. In order to test the medication, the researcher organizes a clinical trial with participants randomly assigned to receive either the new medication or a placebo. Suppose the following table represents the heart rates for a SRS from both groups. Data for the placebo group are {71, 71, 68, 67, 68, 69, 70, 70, 69, 72, 73} Data for the treatment group are {67, 66, 64, 64, 65, 64, 59, 63, 71, 64} Sample standard deviation for the placebo group is: 1.834 Sample standard deviation for the treatment group is: 3.057 What is the confidence interval? (alpha=0.05) Group of answer choices (0.969492 to 9.266508) (2.31312 to 7.92288) (2.598132 to 7.637868) (-1.796934 to 12.032934)(5) A certain educational institute has 15 centers located at different places in a city. There are three telephone operators in each center. The manager wanted to estimate the average number of calls received per telephone per week for this institute. He decided to select four centers and the number of calls received on last week for each operator were recorded. The data collected are given in Table 02. Answer the following questions. Table 02: Number of calls received for each operator 25, 15, 30 18, 12, 10 20, 18, 22 15, 20, 18 Center 1 4 (i) (ii) What is the sampling method used in this study? Justify your answer. Estimate the average number of telephone calls received per telephone operator.
- A research team is interested in investigating the effectiveness of a new medication intended to reduce resting heart rate (beats per minute, BPM) in overweight patients. In order to test the medication, the researcher organizes a clinical trial with participants randomly assigned to receive either the new medication or a placebo. Suppose the following table represents the heart rates for a SRS from both groups. Data for the placebo group are {71, 71, 68, 67, 68, 69, 70, 70, 69, 72, 73} Data for the treatment group are {67, 66, 64, 64, 65, 64, 59, 63, 71, 64} Sample standard deviation for the placebo group is: 1.834 Sample standard deviation for the treatment group is: 3.057 What is the Standard Error of the Mean Difference? (alpha=0.05) Group of answer choices 1.834 1.240 1.114 3.057A research team is interested in investigating the effectiveness of a new medication intended to reduce resting heart rate (beats per minute, BPM) in overweight patients. In order to test the medication, the researcher organizes a clinical trial with participants randomly assigned to receive either the new medication or a placebo. Suppose the following table represents the heart rates for a SRS from both groups. Data for the placebo group are {71, 71, 68, 67, 68, 69, 70, 70, 69, 72, 73} Data for the treatment group are {67, 66, 64, 64, 65, 64, 59, 63, 71, 64} Sample standard deviation for the placebo group is: 1.834 Sample standard deviation for the treatment group is: 3.057 What is the test statistics (tstat)? (alpha=0.05) Group of answer choices 4.127 2.791 1.674 4.594The authors of a paper compared two different methods for measuring body fat percentage. One method uses ultrasound, and the other method uses X-ray technology. The table gives body fat percentages for 16 athletes using each of these methods (a subset of the data given in a graph that appeared in the paper). For purposes of this exercise, you can assume that the 16 athletes who participated in this study are representative of the population of athletes. Athlete 0 Ho: Md = Ha: Md 0 < 0 5 6 7 8 9 10 11 12 13 14 15 16 X-ray 4.75 7.00 9.25 12.00 17.25 29.50 5.50 6.00 8.00 8.50 9.25 11.00 12.00 14.00 17.00 18.00 USE SALT Ultrasound 4.75 4.00 9.00 11.75 17.00 27.75 6.50 6.75 8.75 9.75 9.50 12.00 12.25 15.75 18.00 18.50 X Find the test statistic and P-value. (Use a table or SALT. Round your test statistic to one decimal place and your P-value to three decimal places.) t = P-value = 0.000 Mx-ray ultrasound.)
