Consider the following observations on shear strength of ajoint bonded in a particular manner:data values30.0 4.4 33.1 66.7 81.5 22.2 40.4 16.4 73.7 36.6 109.9Determine the sample standard deviation. Express youranswer accurate to three decimal places. (You may use theattached excel sheet, if you like)9.2263.50113.102Something else46.80932.011

A set of data values for shear strength is given.The data values are 30, 4.4, 33.1, 66.7, 81.5,…

Answered: Consider the following observations on…

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 length of a metal block is measured 4 times using a ruler. The results are shown below: measurement # length l (mm) 1 23.5 2 23.8 3 23.2 4 23.6 First, calculate the mean length and fill it in the blank below. Next, fill in the blanks for the differences and in the table above. Finally, calculate the standard deviation, the standard deviation of the mean and the 2σ uncertainty and fill in the blanks below. Important notes (read before entering your answers): Enter the values in mm using decimal notation (e.g. 0.0123). A leading zero before the decimal point must be entered (e.g. 0.0123, not .0123). Do not use scientific notation, as it will not be recognized, and do not enter the units. Do not round the numbers, as this may cause rounding errors to accumulate. Mean length: mm Standard deviation mm Standard deviation of the mean mm 2σ uncertainty mm
UNO
The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 37 ounces and a standard deviation of 6 ounces. Use the Standard Deviation Rule, also known as the Empirical Rule (see image below). Do not use normalcdf on your calculator. Suggestion: sketch the distribution in order to answer these questions. a) 99.7% of the widget weights lie between b) What percentage of the widget weights lie between 25 and 55 ounces? c) What percentage of the widget weights lie below 43 ? 0.15% -3s 2.35% 13.5% -15 Submit Question 34% 34% 0 1s 13.5% 2s 2.35% 3s 0.15% Question Help: Video Written Example Message instructor and % %
The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 50 ounces and a standard deviation of 4 ounces. Use the Standard Deviation Rule, also known as the Empirical Rule (see image below). Do not use normalcdf on your calculator. Suggestion: sketch the distribution in order to answer these questions. a) 95% of the widget weights lie between and b) What percentage of the widget weights lie between 46 and 58 ounces? c) What pagcentage of the widget weights lie below 62 ? % 34% 34% 2.35% 13.5% 2.35% 0.15% 13.5% -35 25 0.15% -1s 1s 25
The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 46 ounces and a standard deviation of 9 ounces. Use the Standard Deviation Rule, also known as the Empirical Rule (see image below). Do not use normalcdf on your calculator. Suggestion: sketch the distribution in order to answer these questions. a) 99.7% of the widget weights lie between b) What percentage of the widget weights lie between 37 and 73 ounces? c) What percentage of the widget weights lie above 28? 0.15% -3s 2.35% -25 13.5% -1s 34% 34% 1s 13.5% 2s 2.35% 3s and 0.15% % %
The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 60 ounces and a standard deviation of 3 ounces. Use the Standard Deviation Rule, also known as the Empirical Rule (see image below). Do not use normalcdf on your calculator. Suggestion: sketch the distribution in order to answer these questions. a) 99.7% of the widget weights lie between b) What percentage of the widget weights lie between 57 and 69 ounces? c) What percentage of the widget weights lie above 54 ? 0.15% -3s 2.35% -25 13.5% -1s 34% 34% 1s 13.5% 2s 2.35% 3s and 0.15% % %
Researchers sampled fish from a lake and measured the lengths (mm) of all individuals of two species, bream and perch. They were interested in testing whether there was a difference in the mean lengths of the two species in the lake. Based on the output below, what would be the correct conclusion to draw? Mean n Std deviation Std error of mean Bream 531.00 6 309.60 126.39 Perch 154.82 11 78.76 23.75 options: Bream are significantly larger on average than perch in this lake. There is no significant difference in average sizes of the two species of fish from this lake. The variances are different so it is not possible to do a statistical test comparing means. Perch are significantly larger on average than bream in this lake.
Rivets. A company that manufactures rivets believesthe shear strength of the rivets they manufacture followsa Normal model with a mean breaking strength of 950pounds and a standard deviation of 40 pounds.a) What percentage of rivets selected at random willbreak when tested under a 900-pound load? b) You’re trying to improve the rivets and want to exam-ine some that fail. Use a simulation to estimate how many rivets you might need to test in order to findthree that fail at 900 pounds (or below).
The ASA softball association is interested in knowing the average pitching speed of a 12U fastpitch softball pitcher. A random sample of forty pitches is recorded. The average speed of the pitch is found to be forty-one mph with standard deviation two mph. a. What is the parameter of interest? b. What is the point estimate you would calculate to estimate the parameter? What is its value?
A manufacturer of bolts has a quality control policy that requires it to destroy any boits that are more than 4 standard deviations from the mean The quality control engineer knows that the bots coming off the assembly line have moan length of 9 cm with a standard deviation of 0.05 cm. For what lengths will a bolt be destroyed? Select the correct choice below and fill in the answer box(es) to complete your choice (Round to one decimal place as needed) OA. A bolt will be destroyed if the length is less than OB A bolt will be destroyed if the length is less than OC. A bolt will be destroyed if the length is greater than cm. cm or greater than cm D. A bolt will be destroyed if the length is between cm and e cm cm CHC
The Acme Company manufactures widgets. The distribution of widget weights is bell-shaped. The widget weights have a mean of 37 ounces and a standard deviation of 6 ounces. Use the Standard Deviation Rule, also known as the Empirical Rule (see image below). Do not use normalcdf on your calculator. Suggestion: sketch the distribution in order to answer these questions. a) 99.7% of the widget weights lie between b) What percentage of the widget weights lie between 25 and 55 ounces? c) What percentage of the widget weights lie below 43 ? 0.15% -3s 2.35% -25 13.5% 34% 34% Submit Question 1s 13.5% 2s 2.35% 35 0.15% Question Help: Video Written Example Message instructor and % %
Find the mean: Find the median: Find the standard deviation:

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