QUESTION 3The following table show results for two separate experiments to determine the mass of a circulatingU.S. penny. Determine whether or not there is a difference in the precisions of these analyses.Experiment 1Experiment 2ReplicateNumber1234567Mass (g)3.083.0943.1073.0563.1123.1743.198ReplicateNumber12345Mass (g)3.113.1813.0853.1223.164

The objective is to test whether there is a difference in precision of the two experiments. The…

Answered: The following table show results for…

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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Read the problem below and answer the following questions. 1) What statistical test should be used to solve this problem? 2) State the null and alternative hypotheses for the test. Bicep strength (kg/cm2) was measured in 2 groups of 12 males each (age=18-25). One group received a hormone injection (H) and the other did not (NH). Is mean bicep strength greater in the group receiving the hormone injection? For the toolbar, press ALT+F10 (PC) or ALT+FN+F10 (Mac). BIUS Paragraph Arial 14px A V ...
Question 12 An analysis of variance experiment produced portions of a company ANOVA table Source of variations S.S Between groups Within groups d.f MS 25.08 Fral 3 a C. Total 117.72 79 N.B F(3,76)5% 2.724 and F3 79, 5% = 2.70 1. Specify the competing hypothesis in order to determine the population means. 2. Find the missing statistics a, b and c in the ANOVA table. 3. At the 5% significant level, what is the conclusion to the test? • Paragraph B IU A A I E E I I * x, E E E- & V G D I T 12pi
The following data represent the results from the specific gravity test performed in a soil laboratory including twenty samples of sand. * :The value of Root Mean Square is Specific Gravity 2.30-2.39 Number of Samples 1 2.40-2.49 2.50-2.59 3 2.60-2.69 2.70-2.79 6. 7 2.80-2.89 1 3.6-3.8 2.97-3.0 2.4-2.5 2.85-2.95 2.75-2.84 1.5-2.0 2.6-2.7 2.32-2.39
You wish to test the claim that the first population mean is not equal to the second population mean at a significance level of α=0.02 . Ho:μ1=μ2 Ha:μ1≠μ2 You obtain the following two samples of data. Sample #1 Sample #2 67.1 64.2 32.7 49.0 63.8 54.8 63.5 54.1 65.6 54.8 40.5 58.7 39.4 43.1 72.5 73.1 70.2 71.2 68.1 73.1 79.7 67.3 66.5 61.7 62.9 76.5 What is the test statistic for this sample?test statistic = Round to 3 decimal places. What is the p-value for this sample?p-value = Use Technology Round to 4 decimal places. The p-value is... less than (or equal to) α greater than α This test statistic leads to a decision to... reject the null accept the null fail to reject the null As such, the final conclusion is that... There is sufficient evidence to warrant rejection of the claim that the first population mean is not equal to the second population mean. There is not sufficient…
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In an experiment to determine whether there is a systematic difference between the weights obtained with two different mass balances, six specimens were weighed, in grams, on each balance. The following data were obtained: Specimen A 1 14.86 14.83 2 9.44 9.41 3 11.99 11.99 4 9.27 9.26 5 6.13 6.13 13.78 13.76 It is reasonable to assume that the population of differences is approximately normal. A hypothesis test was carried out to determine if the mean weight differs between the balances. The results from this hypothesis test procedure carried out in Excel are presented below. You may use this information to answer the questions that follow. t-Test: Paired Two Sample for Means A B Mean 10.91166667 10.89666667 Variance 10.54093667 10.49502667 Observations 6 6 Pearson Correlation 0.999993349 Hypothesized Mean Difference df 5 t Stat 2.66556995 P(T<=t) one-tail 0.022292412 t Critical one-tail 2.015048373 P(T<=t) two-tail t Critical two-tail 0.044584824 2.570581836 a. Give the value of the…
(3) If you are evaluating two different sets of measurements 0.952(7) atm and 0.977(5) atm. Are they statistically equivalent?
You wish to test the following claim (Ha) at a significance level of a = 0.01. H₂:μ₁ = μ₂ Ha:μι > με You obtain the following two samples of data. Sample #1 Sample #2 60 50.1 91.5 89.8 56 44.8 85.6 93.4 58.4 83.8 106.9 73.9 44.8 78.1 70.8 37.7 63.5 82.7 71.7 34.7 90.6 67.7 66.8 61.6 65 65.9 77.6 61.1 111.7 106.9 51.8 88.3 69 80.5 78.1 62.6 99.7 64.5 67.2 52.6 71.2 75.3 76.2 96.8 70.8 49.2 46.1 111.7 51.8 The p-value is... mlm What is the test statistic for this sample? (Report answer accurate to three decimal places.) test statistic = 66.2 63.3 60 63.1 61.3 75 62.3 63.3 69.4 57.9 71.2 68.4 74.7 70.6 65.1 68.5 75.8 78.4 73.1 58.6 59.1 66 71.5 67.2 67.3 69 70.9 68.9 73.1 64.4 66.9 71.2 65.6 68.7 60.7 65.3 76.3 74.7 70.1 65.6 59.6 68.2 67.2 69.7 68.9 65.4 66.2 65.6 65.1 62.5 0.7 60.4 68.9 76.8 65.6 76.3 64.7 55.6 71.7 69.7 64.2 72.9 What is the p-value for this sample? For this calculation, use the degrees of freedom reported from the technology you are using. (Report answer accurate to…
Q.Jarjout et al conduct a study in which they measured bronchalveolar lavage (BAL) fluid histamine levels in subjects with elergic rhinitis,subject with asthama and normal volunteers .One of the measurement obtained was the total protein in BAL samples.The following are the results for the 61 samples they analysed. 76.33 57.73 74.78 100.36 73.50 77.63 88.78 77.40 51.16 62.20 149.49 86.24 57.90 72.10 67.20 54.38 54.07 91.47 62.32 44.73 55.47 95.06 71.50 73.53 57.68 51.70 114.79 61.70 47.23 78.15 53.07 106.00 35.90 85.40 72.30 61.10 72.20 41.98 59.36 63.96 66.60 69.91 59.20 54.41 59.76 128.40 67.10 83.82 95.33 88.17 109.30 79.55 58.50 82.60 153.56 84.70 62.80 70.17 44.40 61.90 55.05 Use the data to prepare; 1.A frequency distribution. 2.A relative frequency distribution. 3.A cumultative frequency distribution. 4.A box and Whisker plot.
2. Two kinds of bumper guards, six of each kind, were mounted on a certain make of compact car. Each car was then run into a concrete wall at 5 miles per hour and the costs of repairs (in dollars) was recorded. Summary of the data is shown below. n = 6 i = 144 si = 363.20 n =6 i = 149 si = 202.00 Test at the 0.02 level of significance whether it is reasonable to assume that the two populations sampled have equal variances.
Denny studied factors affecting cardiovascular reactivity to a postural change in a sample of healthy men and women. Change in systolic blood pressure (SBP) from supine to standing position was used as the measure of cardiac reactivity in a sample of 842 adults. Supine measurement of blood pressure was taken after participants had lain on an examination table for 15 minutes. Blood pressure was determined every 30 seconds using a Dinamap device for 2 minutes, and the measurements were averaged. Participants then stood up immediately, and additional measurements were made for another 2 minutes. Below is a table describing the characteristics of Denny’s sample: Which measures of dispersion, if any, are presented in this table (Ranges, SDs)? If age is normally distributed, approximately what percent of the sample would be younger than 50? If BMI is normally distributed, approximately what percent of the sample would have a BMI higher than 33.1?
To determine if their 1.33 centimeter galvanized pipes are properly adjusted, Fogarty Manufacturing has decided to use an X-Chart which uses the range to estimate the variability in the sample. Answer Table Step 4 of 7: Use the following sample data, taken from the next time period, to determine if the process is "In Control" or "Out of Control". Observations: 1.4, 1.42, 1.38, 1.37, 1.4 Sample Mean: 1.394 Period 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 Control Chart Copy Table Average Values The average of the selected cell(s) is 1.340. Copy Value obs1 obs2 obs3 obs4 obs5 Sample Mean Sample Range 1.34 1.29 1.35 1.33 1.35 1.3320 1.35 1.35 1.29 1.38 1.28 1.3300 1.34 1.35 1.32 1.33 1.34 1.3360 1.36 1.29 1.37 1.35 1.30 1.3340 1.29 1.31 1.33 1.32 1.38 1.3260 1.31 1.32 1.31 1.31 1.3180 1.34 1.33 1.3300 1.38 1.31 1.29 1.34 1.35 1.33 1.30 1.35 1.32 1.3300 1.34 1.37. 1.28 1.36 1.3440 1.37 1.30 1.3080 1.37 1.29 1.30 1.28 1.35 1.36 1.32 1.31 1.32 1.29 1.36 1.38 1.3400 1.3280 1.30 1.35 1.32 1.32 1.29…

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