Open the Excel file "Bacteria Count Comparison". Would creating runcharts be appropriate in this case?O No, because we are not told if the data were collected in a time-orientedmanner.Yes, because we know the data were collected in a time-oriented manner.Yes, because we can create run charts for any given set of data.O No, because the sample sizes are much too small. Bacteria Count - Colony forming units per milliliter (cfu/ml)Temp 22 сTemp 37 с121151136137117128131136125117134131114148128139135147121138133155115130119132123127128137125137127145

Option (I) is correct. No, because we are not told if the data were collected in a time oriented…

Answered: e "Bacteria Count Comparison".

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Aspirin III: Decision and Conclusion Regarding the experiment in the data frame Aspirin from the abd package, the researchers wanted to know whether or not taking aspirin affects one's risk of developing cancer. Recall that they defined their parameters as follows: p1 = the proportion of ALL individuals who would develop cancer, if all of them were to take aspirin like the subjects in the Aspirin group did. p2 = the proportion of ALL individuals who would develop cancer, if all of them were to take a placebo, like the subjects in the placebo group did. They ran the code for a two-sided significance test and got the following results: ## ## ## Inferential Procedures for the Difference of Two Proportions p1-p2:## cancer grouped by treatment ## ## ## Descriptive Results:## ## yes n estimated.prop## Aspirin 1438 19934 0.07214## Placebo 1427 19942 0.07156## ## ## Inferential Results:## ## Estimate of p1-p2: 0.0005805 ## SE(p1.hat - p2.hat): 0.002586 ## ##…
|| Find the (Q1,Q2,Q3) for the data below? class fi 50-69 3. 70-89 7. 90-109 4 110-129 4 130-149
7:08 iTECH Part V ork.potsdam.edu Part VI © 4G37% 5 What graphical display is appropriate for comparing the distribution of patient death rates between hospitals that use computer systems and those that rely on the âlpaperâ system? A. A scatterplot. B. A bar chart. C. A stem-and-leaf display. D. Side-by-side boxplots. 4 Mr. Prudence read about the study results and concluded from there that hospitals should adopt computerized automation of notes and records because it increases patientsâ chance of survival. Which of the following is a correct statement about Mr. Prudenceâs conclusion? A. It is a valid conclusion because the study was based on a very large number of patients. B. It is a valid conclusion because the study results showed that hospitals which use computerized systems have a lower patient death rate. C. It is an invalid conclusion because this study does not necessarily prove a causal relationship between the use of ||| computerized system and hospital mortality. D. Both A)…
Judy Holmes Textiles has decided to use a c-Chart to monitor the number of defects per pair of jeans produced by their manufacturing process. The c-Chart should be constructed with 3-sigma control limits. The operations manager randomly samples one pair of jeans at 10 successively selected time periods and counts the number of defects on the pair of jeans. Answer Table O In Control Control Chart Step 4 of 7: At the next time period, 23 defects were detected on the randomly selected pair of jeans. Determine if the process is "In Control" or "Out of Control". O Out of Control Copy Table Tables Keypad Keyboard Shortcuts Previous step answers Updated Control Chart
Are the average number of times a month an adult eats out the same for all age groups? Use the data below to determine if they are all the same. 44-56 7 18-30 31-43 6 4 8 1 3 2 5 5 4 2 4 6 6 Assume all requirements are met. Run the test at a .10 level. 57-69 8 3517
A group of university researchers wanted to determine the relationship that exists between the number of hours spent by a student in social media in a day (X) and their grade weighted average (Y). Twelve randomly selected students produced the following findings: Number of GWA Hours 4.0 95 8.0 85 87 89 91 85 89 86 84 96 82 85 7.0 6.5 5.5 9.0 4.0 10.0 7.5 2.0 12.0 9.0
Peanut Jar Data: 11.94 11.74 12.25 11.32 11.85 11.86 11.59 12.15 11.76 11.55 12.31 12.59
6
Frequency 344.7 389.1 394.3 411.8 412.1 431.9 433.5 445 447.4 452.3 465.4 466 469.2 469.2 469.2 469.8 470.6 471.7 471.8 474.9 483 483.1 485 490.4 494.8 495.8 496.8 496.8 500 506.8 512.5 516.6 520.1 520.4 524.8 534.8 545.3 547.4 558.1 556.4 558.1 558.1 580.6 564.4 572.4 577.4 585 586.2 587.8 588.2 593.8 606.1 607.8 611.4 = 18 16 14 12 10 8 6 4 2 300 350 400 450 500 Find the first quartile for this data set. Q₁ length (cm) = 550 600 650 Find the third quartile for this data set. Q3² = Find the interquartile range for this data set. IQR = = Find the lower fence separating outliers from usual values. Fence Low Find the upper fence separating outliers from usual values. Fence high
Draw the appropriate graph for each of the data sets given below. Explain the chosen graphs and give a short interpretation.
When you use data from a published source (you do not collect it yourself) you are using O primary data O secondary data O time series data cross sectional data O census data
The two, box and whisker diagrams below show the percentage marks obtained by two Grade 12 classes. Each class has 26 learners. Class A Class B O 10 20 30 40 50 60 70 80 90 100 The percentage marks for Class A, arranged in order, are given below: F: 58 60 62 62 63 65 65 66 66 66 66 67 69 70 71 73 73 90 [SASAMS database] 75 75 75 H 80 83 85 NOTE: Fis the lowest percentage mark H is a percentage mark between 75 and 80

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