At a production plant manufacturing hazelnut cocoa spread, a sample of 6 jars was taken every 30minutes between 9.00 and 13.00. The filling weight (in grams) of each jar is shown in the table below.Sample Time19:0029:30345678910:0010:3011:0011:3012:0012:3013:00Weight 1 Weight 2 Weight 3 Weight 4395392403394407393401405407400409397396402399399403397400394396396394409406390402391396400400397403403409397Weight 5408405397410406390408399407Weight 6398409395406395393410393409Calculate an estimate for the population standard deviation of filling weights. Use the approachfavoured by industry: your estimate must be based on the sample ranges (rather than the samplestandard deviations). Your answer must be accurate within ±0.005 grams.

At a hazelnut cocoa spread manufacturing plant a sample of jars was taken at every minutes between…

Answered: Calculate an estimate for the…

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 student studying statistics wants to look at data for his favorite sport, American football. He collects data on the lengths of 100 field goals from various games over several seasons. Would it be more appropriate to find a sample standard deviation or population standard deviation in this situation? Select the correct answer below: A. Sample standard deviation B. Population standard deviation
Using the following table of data values, calculate the estimated sample standard deviation and compare it to the standard derived from the range. 54.3 55.9 55.2 53.5 55.2 Answer: 0.9957 You must enter a valid number.
A variable is normally distributed with mean 32 and standard deviation 12. Use the Cumulative Z-Score Table to answer the following questions. Write your answers in decimal form using 4 decimal places. a) Find the area under the normal curve to the left of the data value 16.4. b) Find the area under the normal curve to the left of the data value 52.4. c) Find the area under the normal curve to the right of the data value 27.2. d) Find the area under the normal curve to the right of the date value 37.4, e) Find the area under the normal curve between the data values 37.4 and 52.4.
A variable is normally distributed with mean 34 and standard deviation 11. Use the Cumulative Z-Score Table to answer the following questions. Write your answers in decimal form using 4 decimal places. a) Find the area under the normal curve to the left of the data value 63.7. b) Find the area under the normal curve to the left of the data value 2.1. c) Find the area under the normal curve to the right of the data value 30.7. d) Find the area under the normal curve to the right of the date value 29.05. e) Find the area under the normal curve between the data values 2.1 and 29.05.
The weights for a baby boy is normally distributed with a mean score of 7lbs and a standard deviation of 0.8lbs. determine the following:
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The lengths in millimetres (mm) of 60 runner beans taken from a particular crop were measured and found to be normally distributed. The runner beans were given ID numbers and their lengths to the nearest millimetre are recorded in the table below. a) Select a sample of 12 runner beans using systematic sampling and the random number 4 for the first selection. Write your sample in a table with headings, as demonstrated below. Runner bean ID Length (mm) Lengths of runner beans (mm) Runner bean Length(mm) Runner bean Length(mm) Runner bean Length(mm) ID Number ID Number ID Number 150 21 156 41 201 165 22 182 42 165 3 179 23 166 43 177 4 153 24 200 44 210 181 25 185 45 189 205 26 203 46 187 198 27 195 47 188 8. 171 28 170 48 179 9 210 29 180 49 142 10 168 30 210 50 175 11 186 31 194 51 175 12 179 32 188 52 177 13 188 33 160 53 190 14 175 34 189 54 162 146 35 170 55 187 15 172 36 189 56 168 16 164 37 167 57 167 17 160 38 178 58 187 18 152 39 197 59 166 19 40 210 60 204 20 209
Determine the standard error. Complete solution

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Calculate an estimate for the population standard deviation of filling weights. Use the approach favoured by industry: your estimate must be based on the sample ranges (rather than the sample standard deviations). Your answer must be accurate within ±0.005 grams.