QUESTION 11If the acceptable margin of error decreases for an interval estimate for proportion, the minimum sample size needed to make that estimation willO A. increase because a larger sample will have larger errorO B. not change because the zdoes not depend on sample sizea12O C. decrease because a smaller sample allows for decreased accuracyO D. increase because a latger sample is needed for increased accuracyO E. decrease because a smaller sample will have smaller errorClick Save and Submit to save and submit. Click Save All Answers to save all answers.DELLF9F10F7F8EscF5F6F4F2F3F1%23$48.45WE R I

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Answered: If the acceptable margin of error…

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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A process is monitored for defective items by taking a sample of 200 items each day and calculating the proportion that are defective. Let p; be the proportion of defective items in the ith sample. For the last 30 samples, the sum of the proportions is E P; = 1.64. Calculate the center line and the 30 upper and lower control limits for a p chart.
Given the data above: 1.Derive the skew. 2.Derive the kurtosis. 3.Which of the following situation pertains to the skew derived? a.Mean is greater than Mode b.Mean is less than Mode 4.Which of the following situation pertains to the Kurtosis derived? a.The distribution is peaked b.The distribution is flat
I need help for figuring out how to explain parts a and b.
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
A drug company claims that their products’ contaminations never vary by more than 2%. Sample of 5 specimens were tested and the percentages of the purities are recorded as Observation no. 1 2 3 4 5 Percentages (%) 98.8 97.2 98.9 97.7 97.9 a. Do the sample data have enough proof to oppose the manufacturer's claim? (HINT: take the range of 2% equal 4o.) b. Find a 90% confidence interval for o?.
The power of the slope t-test is NOT determined by: A)direction of slope B) sample size C) effect size D) alpha
Q2. A laundry for car wash found that the average, for small size car, cleaning time is 5 mins in the morning and 6.5 mins at evening time when a sample of size 30 is taken at the two time periods. From the previous record, the laundry manager knew that car oj = 2 mins for the morning shift and oz = 2.5 mins for morning and evening repectively. Find the interval estimate for 4 - 42 with 90% confidence level.
3.) A population has a mean of 300 and a variance of 80. If we get 160 samples from this population, what wili be the mean and standard deviation of the sampling distribution of sample mean? A.) Hg = 300 and og =0.53 B.) µg = 300 and og =0.71 C.) µg = 300 and og =6.32 D.) µg = 300 and og =80 %3D %3D
Find the 5 number summary for the data shown 3 18 24 26 28 38 55 63 65 67 5 number summary: 3 65 64 64 X, 21 IQR:|| The 1.5 x IQR rule states that values between and are likely not outliers.
(Round up to the nearest whole number as needed.)
The toco toucan, the largest member of the toucan family, possesses the largest beak relative to body size of all birds. This exaggerated feature has received various interpretations, such as being a refined adaptation for feeding. However, the large surface area may also be an important mechanism for radiating heat (and hence cooling the bird) as outdoor temperature increases. Presented is the data for beak heat loss, as a percent of total body heat loss from all sources, at various temperatures in degrees Celsius. [Note: The numerical values in this problem have been modified for testing purposes.] Temperature (°C) 1515 1616 1717 1818 1919 2020 2121 2222 2323 2424 2525 2626 2727 2828 2929 3030 Percent heat loss from beak 3232 3636 3636 3333 3535 4747 5757 5151 4242 5353 4646 5252 5959 5959 6363 6262 (a) What is the equation of the least‑squares regression line for predicting beak heat loss, as a percent of total body heat loss from all sources, from temperature? (Use…
Data consistent with summary quantities in the article "Effects of Fast-Food Consumption on Energy Intake and Diet Quality Among Children" on total calorie consumption on a particular day are given for a sample of children who did not eat fast food on that day and for a sample of children who did eat fast food on that day. Assume that it is reasonable to regard these samples as representative of the population of children in the United States. No Fast Food 2342 1929 1020 1741 1480 2064 2154 1992 1863 1788 1776 1838 1659 1517 2680 Fast Food 2522 1757 933 2327 2433 2266 2525 1194 889 1510 874 2206 1810 1249 2116 (a) Use the given information to estimate the mean calorie intake for children in the United States on a day when no fast food is consumed. (Give the answer to one decimal place.) 1856.2 (b) Use the given information to estimate the mean calorie intake for children in the United States on a day when fast food is consumed. (Give the answer to one decimal place.) 1774.1 (c) Use the…

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