Please use the accompanying Excel data set or accompanying Text file data set when completing the following exercise. An article in Technometrics (1999, Vol. 41, pp. 202-211) studied the capability of a gauge by measuring the weight of paper. The data for repeated measurements of one sheet of paper are in the following table. Construct a 95% one-sided, upper confidence interval for the standard deviation of these measurements. Assume population is approximately normally distributed. Round your answer to 3 decimal places. Observations 3.481 3.477 3.470 os i 3.448 3.472 3.470 3.485 3.464 3.477 3.475 3.472 3.473 3.472 3.470 3.474

1. Do you think the gamma distribution is a reasonable model for the data? What are the relevant considerations? Summarize your thoughts and conclusion(s) in 2-3 sentences. 2. Determine a way to estimate the bias of 0 under the gamma model. Does it seem large in context? 3. Refer to the attached data table. The ôH column reports estimated standard deviations for each measurement. How might you use these to estimate varH? Sketch out an approach by listing a few steps, and explain your reasoning. Supernova data from Freedman et al. Supernova ID SN19900 Velocity (km/sec) Н (km/sec/Mрс) Distance (Mpc) 9065.00 134.70 67.30 2.30 SN1990T SN1990af 12012.00 158.90 75.60 3.10 15055.00 198.60 75.80 2.80 16687.00 69.80 83.70 SN1991S 238.90 2.80 SN1991U 9801.00 117.10 3.40 SN1991ag SN1992J 4124.00 56.00 73.70 2.90 13707.00 183.90 74.50 3.10 SN1992P 7880.00 121.50 64.80 2.20 SN1992ae 22426.00 274.60 81.60 3.40 SN1992ag SN1992al SN1992aq SN1992au SN1992bc 7765.00 102.10 76.10 2.70 4227.00 58.00 72.80…

part b please

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Part 1 of 3  A researcher was investigating the size of math departments in Texas colleges. She believed the population standard deviation was 1.9. A sample of 42 colleges found their mean was 12.5.   Find the 3-decimal small value of the 95% confidence interval of the mean.     Part 2 of 3: Find the 3-decimal large value of the 95% confidence interval of the mean.     Part 3 of 3: Find the 3-decimal margin of error

It is a well-known fact that 40% of college students LOVE taking Mathematics. A certain professor at WCC wanted to test to see if a majority of students at WCC LOVE taking Mathematics. To test this, the professor randomly samples 1000 students and finds that 515 of them LOVE taking Mathematics.At the 0.05 level of significance, does the above sample provide evidence to suggest a majority of students at WCC LOVE taking Mathematics? Step 1: Define the parameter & setup the testStep 2: State the Level of SignificanceStep 3: Find the value of the Test StatisticsStep 4: Find P-Value OR Find Critical ValueStep 5: State Conclusion and why

Repeated baseline measurements help improve the ____ of a single-subject study.       A.Ecological validity         B. Generalizability         C. Internal validity           D. Sample's representativeness

A STATISTICS PROFESSOR IS REVIEWING GRADES TREAT THE SCHEDULE AS UNGROUPED DATA GRADE 86 76 96 86 92 82 74 76 85 81 88 GRADE 90 86 76 74 85 92 85 76 83 84 95 SOLVE FOR UNGROUPED DATA- MEASURES OF CENTRAL TENDENCY, QUARTILES. SAMPLE STANDARD DEVIATION RANGE INTERQUARTILE RANGE SOLVE BOTH WAYS

A company that develops an automated customer service model is interested in knowing whether two versions, Version A and Version B, will get different ratings from customers. Participants in a focus group are taken through samples from both versions, then take a survey to rate each version. A summary of the data obtained from the study is given below. Assume ratings from the different surveys generally have the same standard deviation. Mean Observations Pearson Correlation Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Confidence Level Version A Version B 33.133 28.67 15 15 -0.325 0.00 14 n = Ex: 9 -1.426 0.088 -1.345 0.176 -1.761 95% Degrees of freedom: df Point estimate for Version A: XA = Ex: 1.234 Point estimate for Version B: x B = 1 = من t = −1 Ex: 1.234 0 1 t = P = = Ex: 1.234 2 3 2