Farmer Joe is at it again. He knows that animal waste is excellent for enriching the soil and helping crops grow strong. He visitshis nearby zoo and asks the elephant caretaker to weigh the elephant's waste for a random sample of 10 days. He then learns thatthe amount of waste produced by the elephant is approximately normally distributed with a mean of 50 pounds and a standarddeviation of 12.5 pounds.He constructs and interprets a 99% confidence interval for the true mean amount of waste produced by this elephant.Which of the following steps, if any, contain an error?State: We want to estimate μ = the mean amount of waste produced by this elephant with 95% confidence.Plan: One-sample t interval for μ Random? Random sample of 10 days. Yes! Normal/Large Sample? We cannot checkthis condition because we do not have enough information. The sample size is small and we do not have a graph of thesample data.Two of the steps contain an error.Do: (37.154, 62.846)Conclude: We are 95% confident that the interval from 37.154 pounds to 62.846 pounds captures the true mean weightof the waste produced daily by this elephant.Incorrect

According to the information provided Sample size n=10 sample mean=50 The sample standard deviation…

Answered: Which of the following steps, if any,…

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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Shelia’s doctor is concerned that she may suffer from gestational diabetes (high blood glucose levels during pregnancy). There is variation both in the actual glucose level and in the blood test that measures the level. A patient is classified as having gestational diabetes if her glucose level is above 136 milligrams per deciliter (mg/dl) one hour after ingesting a sugary drink. Shelia’s measured glucose level one hour after the sugary drink varies according to the Normal distribution with μ = 125 mg/dl and σ = 11 mg/dl. a)What are the mean and standard deviation of the distribution of sample proportion if measurements are made instead on 40 separate days? b)If measurements are made on 40 separate days and the mean result is compared with the criterion 140 mg/dl, what is the probability that Shelia is diagnosed as having gestational diabetes? c)Let’s consider what could happen if we took 40 separate measurements from Shelia. What is the blood glucose level L such that the probability…
Miswrote P(x) 0.041 for 0.141, which changes the mean to 1.5.
Please clearly state the formulas used and the complete solution. Thank you!
Illustration 19.34. A persón buys 100 electric tubes each of two well-known makes, taken at random from the stocks for testing pur- pose. He finds that make A has a mean life of 1300 hrs with SD=82 hrs, and make B has a mean life of 1248 hrs with SD=93 hrs. Dis- cuss the significance of these results.
Describe about MEAN SQUARE (M S ) AND THE F RATIO.
Determine each statement is Type I error, Type II error, or no error. You reject the null hypothesis that the mean amount of soda in all cans of soda is at least 11 oz. The true mean is 11.07 oz. Suppose you fail to reject the null hypothesis that the mean lifetime of a battery is at least 50 hours. The true mean is 51.3 hours. Suppose you fail to reject the null hypothesis that the mean diameter of a bolt is at most 10 cm. The true mean is 10.02 cm.
I need help learning how to solve this with a TI-84 calculator and a table of normal values. No excel or R please.
Q1. A study was conducted to investigate the relationship between premature birth and mental development at 12 months. The infant's birth weight was used as an index of prematurity. At age 12 months, the child's mental development was recorded. The results are shown below (the weights are in pounds): Birth 4 6 7 8 Weight(x) Developmental 85 Quotients(y) 88 87 94 96 Summary: n = 5, £x=30, £x² = 190, Ey= 450, Ey² = 40590, Exy = 2728 . a. Find the least square prediction equation, y on x. b. Obtain a 95% confidence interval for the average value of y when x 6.5 (i.e., a C.I. for E(y|x= 6.5)). c. Obtain the coefficient of correlation (r) and interpret the result. d. Test the hypothesis that H, :p= 0 vs. H, : p0. Use a =0.05.
1:15 (a) Which variable is the explanatory variable? OA. One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Click the icon to view the housing data. Square Footage Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. Ay 4500- 000 1000 mylab.pearson.com/ + ® : 3 4500 Data Table Q Square Footage, x 2148 3231 1177 1988 3064 2735 4146 2215 2625 1629 1773 3887 Print ||| OB. r= 0.899 (Round to three decimal places as needed.) = AX 4500- 1000+++ 150 750 Q (c) Determine the linear correlation coefficient between square footage and asking price. Done Ay 750- Vo) 1 LTE2 150- O 1000 Selling Price ($000s), y D 371.1 382.2 197.6 339.9 614.9 364.7 632.7 377.7 427.5 285.9 268.9 701.4 4500 .... .... Q X D. Ay 750- 41% 150+ 1000 4500
For chi-square, what is the difference between observed and expected frequencies? There is no difference: both look at proportions in sample Observed = proportions in sample; expected = proportions in population There is no difference: both look at proportions in population Observed = proportions in population; expected = proportions in sample
Suppose the mean of X is 94. What does the mean of X become if you multiply X by 1.22? (Use two decimal places, ex: 12.34)
kindly recheck this because I posted it on my other account but I think the first answer is wrong, I trust you to recheck it properly.

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Which of the following steps, if any, contain an error? State: We want to estimate u = the mean amount of waste produced by this elephant with 95