The weight of plastic pellets for an injection molding process is a characteristic of interest. A random sample of 15 pellets is selected and gives the following weights in grams) 22770 17 19 22 21 222 2222 17 19 18 18 2220 21 222 20 21 ssuming the distribution of the weight of pellets to be normal, find a two-sided 95% atistical tolerance limits that contain 90% of the population.
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- A random sample of 100 4-oz packs of roasted peanuts yields an average weight of 3.91 oz. Assume that the s.d. of this brand of 4-oz packs of roasted peanuts is 0.35 oz. Does this sampling result suggest that the overall average weight of this brand of 4-oz packs of roasted peanuts is below 4 oz? Use an appropriate p-value to draw and explain your conclusionsM MyOpenMath C stly cloudy ! - A F1 Q https://www.myopenmath.com/assess2/?cid=168066&aid=11975453#/full Class width= What is the sample size? Sample size= ● Question 6 Submit Question Frequency Data was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack is summarized in the histogram below. n = 11.65 X A- 10 How many individuals are represented in the histogram? Note: Is is also known as the sample size and is represented by n. @ Question Help: Video 2 F2 60 65 70 75 80 85 90 95 amount of sugar (mg) W A+ F3 # 3 E X F4 $ 4 -- ▬▬ R *- F5 O Search % 5 T + F6 L 6 08 0/1 pt 9999 Details F7 Y & 7 F8 * ∞ O F9 U 1 8 ( F10 A Dod to ← Back CRefres F11 Save: Print Create A Read a Transl Co Add p Add p Share Web: Web View Insper O PListed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.05 significance level to test for a difference between the measurements from the two arms. Identify the test statistic and p-value. Right arm Left arm 147 131 170 166 O A.T-4.01, p-value = 0.016 OB. T = -2.32, p-value = 0.081 O C.T-3.07, p-value = 0.037 O D.T= -1.93, p-value = 0.127 127 139 192 136 139 139 S
- Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.10 significance level to test for a difference between the measurements from the two arms. What can be concluded? Right arm Left arm 143 179 OA. Ho: H0 H₁: Hd=0 OC. Ho: P = 0 H₁: Hd 0 sufficient evidence to support the claim of a difference in measurements between the two arms.stion In a fabric manufacturing factory, the quality control process using control charts from SPC. In an hour there are a total of 5 samples are taken each having 6 observations regarding the thickness of fabric in measured in millimeters. In a particular hour, the sample means (X-bar) are noted to be: 156.46, 199.62, 189.31, 102.22, and112.09 respectively. In the same sample, the et ered corresponding ranges are: 11.97, 12.17, 13.94, 11.86, and 11.83 respectively. What are the lower and upper control limits for the X-bar chart? ed out of Oa. 144.78, 159.11 Flag stion O b. None is correct Oc. 156.55, 170.47 O d. 142.92, 160.66 O e. 143.55, 165.47 Of. 146.01, 157.87 NEXT PAGE PREVIOUS PAGEA sample of 60 obese adults was put on a low carbohydrate diet for a year. The average weight loss was 11 Ibs. and the standard deviation was 9 Ibs. Calculate a 99% lower tolerance bound covering 95% of the proportion of amount of weight loss. O 8.3 O -8.8 O -10.1 O 8.9
- Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.10 significance level to test for a difference between the measurements from the two arms. Identify the test statistic and p-value. Right arm Left arm 144 167 OA.T-3.07, p-value = 0.037 OB. T = -2.32, p-value = 0.081 OC. T = -1.93, p-value = 0.127 OD. T = -4.01, p-value = 0.016 133 161 132 179 138 145 136 144The degenerative disease osteoarthritis most frequently affects weight-bearing joints such as the knee. Stance duration (ms) was measured in separate samples of younger and older adults. younger: n=22 mean=801 s=117 older: n=16 mean=780 s=81 Test the claim that the true average stance is different between younger and older adults. Let population 1= younger population 2= older a. What is the appropriate procedure to test the claim? b.What is the degrees of freedom? Use the conservative formula. c.At 0.05 significance level, what is/are the critical value/s? d.What is the value of the test statistic? Use 2 decimal places e.Construct a 95% confidence interval estimate, what is the margin of error? Use 2 decimal places.The degenerative disease osteoarthritis most frequently affects weight-bearing joints such as the knee. Stance duration (ms) was measured in separate samples of younger and older adults. younger: n=22 mean=801 s=117 older: n=16 mean=780 s=81 Test the claim that the true average stance is different between younger and older adults. Let population 1= younger population 2= older a. What is the appropriate procedure to test the claim? b.Construct a 95% confidence interval estimate, what is the margin of error? Use 2 decimal places.
- Listed below are the numbers of years that archbishops and monarchs in a certain country lived after their election or coronation. ASsume that the two samples are independent simple random samples selected from normally distributed populations. Do not assume that the population standard deviations are equal. Use a 0.05 significance level to test the claim that the mean longevity for archbishops is less than the mean for monarchs after coronation. All measurements are in years. Click the icon to view the table of longevities of archbishops and monarchs. ....... What are the null and alternative hypotheses? Assume that population 1 consists of the longevity of archbishops and population 2 consists of the longevity of monarchs. OB. Ho H1 = H2 A. Ho: H1 H2 H1:H1 H2 O D. Ho: H1 #H2 H1:H1>H2 The test statistic is . (Round to two decimal places as needed.)From the data please state the intervals and what this tells us about the silver content between coins 1 and 2
