A national manufacturer of ball bearings is experimenting with two different processes for producing precision ball bearings. It is important that the diametersbe as close as possible to an industry standard. The output from each process is sampled, and the average error from the industry standard is measured inmillimeters. The results are presented here:Sample meanStandard deviationSample sizeSelect one:O a. 26O b. 11Process A3.001.0013The researcher is interested in determining whether there is evidence that the two processes yield different average errors. Assume that Process A is the firstpopulation. The population standard deviations are unknown but are assumed equal. What are the degrees of freedom?c. 28O d. 14Process B4.000.515

A national manufacturer of ball bearings is experimenting with two different processes for producing…

Answered: A national manufacturer of ball…

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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The next five questions refer to the following scenario: • sample mean T = 10 • sample size n = 100 • population standard deviation O = 4
A sample of human brain volumes (cm) is given below. Use the given data values to identify the corresponding z scores that are used for a normal quantile plot, then identify the coordinates of each point in the normal quantile plot. Construct the normal quantile plot, then determine whether the data appear to be from a population with a normal distribution. 1070 1083 1041 1083 1069 1409 1031 968 List the z scores for the normal quantile plot. (Round to two decimal places as needed. Use ascending order.)
For the data given below, fill in the blanks, using Formulas, Descriptive Statistics and Regression outputs. Mean of X2: 1) 28th Percentile of X1: 2) 3) Standard Deviation of X2: 4) Y XI X2 10 20 400 70 11 30 450 97 12 Median of X2: 10 350 54 5) Correlation Between X1 and Y: Minimum value of X2: 13 20 375 40 14 6) 30 400 65 15 9) bo : 25 400 94 16 7) b,. 30 450 53 17 8) 20 300 35 10) 11) 18 SSR: 10 300 75 19 SSE: 40 300 53 ST: F Statistics: 20 12) Regression output 20 350 64 13) 14) 21 30 450 68 22 Adjusted R Square: 10 400 96 23 15) MSE: 30 325 54 24 16) MSR: 25 17) Standard Error of Regression: 18) 19) 20) 26 Standard error of X2: 27 t-statistics of X2: 28 Fit the regression equation: 29 30 Sheet1
Find mean & standard deviation using table: X Frequency 2 20% 5 10% 8 15% 10 30% 12 25% For the mean, i get 7.4 & 20%. Std dev i get 4.459362. Just wanted to check my numbers.
Based on figure, given USL=120mm and LSL=110mm. Draw process on one diagram with proper labels.
The type of household for the U.S. population and for a random sample of 411 households from a community in Montana are shown below. Type of Household Percent of U.S.Households Observed Numberof Households inthe Community Married with children 26% 92 Married, no children 29% 121 Single parent 9% 31 One person 25% 102 Other (e.g., roommates, siblings) 11% 65 A) Find the value of the chi-square statistic for the sample. (Round the expected frequencies to two decimal places. Round the test statistic to three decimal places.) B)Find or estimate the P-value of the sample test statistic. (Round your answer to three decimal places.)
Estimate the distance traveled in 20 seconds given the following sample velocities using right- endpoint values. Be sure to write the units for your answer. Time (s) 10 15 20 Velocity (m/s) 3 3.4 2.9 2.4 1
For the sample data set from HW M0 Problem 1: (92, 97, 88, 91, 94, 94, 85, 93, 81, 85) perform the following calculations or operations with pencil and paper: 1. Estimate the standard deviation from the range using the d2 method2. Determine the quartiles.3. Calculate the IQR. 4.Calculate boxplot 5. Sketch a stem and leaf plot.
The lengths in millimetres (mm) of 60 runner beans taken from a particular crop were measured and found to be normally distributed. The runner beans were given ID numbers and their lengths to the nearest millimetre are recorded in the table below. a) Select a sample of 12 runner beans using systematic sampling and the random number 4 for the first selection. Write your sample in a table with headings, as demonstrated below. Runner bean ID Length (mm) Lengths of runner beans (mm) Runner bean Length(mm) Runner bean Length(mm) Runner bean Length(mm) ID Number ID Number ID Number 150 21 156 41 201 165 22 182 42 165 3 179 23 166 43 177 4 153 24 200 44 210 181 25 185 45 189 205 26 203 46 187 198 27 195 47 188 8. 171 28 170 48 179 9 210 29 180 49 142 10 168 30 210 50 175 11 186 31 194 51 175 12 179 32 188 52 177 13 188 33 160 53 190 14 175 34 189 54 162 146 35 170 55 187 15 172 36 189 56 168 16 164 37 167 57 167 17 160 38 178 58 187 18 152 39 197 59 166 19 40 210 60 204 20 209
In this problem, assume that the distribution of differences is approximately normal. Note: For degrees of freedom d.f. not in the Student's t table, use the closest d.f. that is smaller. In some situations, this choice of d.f. may increase the P-value by a small amount and therefore produce a slightly more "conservative" answer.In the following data pairs, A represents birth rate and B represents death rate per 1000 resident population. The data are paired by counties in the Midwest. A random sample of 16 counties gave the following information. A: 12.5 13.2 12.6 12.1 11.4 11.1 14.2 15.1 B: 9.6 14.3 10.7 14.2 13.2 12.9 10.9 10.0 A: 12.5 12.3 13.1 15.8 10.3 12.7 11.1 15.7 B: 14.1 13.6 9.1 10.2 17.9 11.8 7.0 9.2
Find the sample size needed from Grade 11 students with margin of error 5% and each strata has the following population: STEM 3500 ABM 2000 HUMSS 2500 GAS 1000

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