4. In a survey, it was found that 64 families bought milk in the following quantities (litresin a particular week.1916229.2212391914236241618172025281810242021107182824201423253422533232629133611261!3730138.15222132213117162312915271721Using Sturges' rule, convert the above data into a frequency distribution by 'Inclusive Method'.

The total frequency (n) of the data is 64. Arrange the data in an ascending order (column-wise) as…

Answered: 4. In a survey, it was found that 64…

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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Use specific statistical tool so check that modules have strong impact on average. Student ID E94 5 67 9 10 1 12 15 18 19 20 13 14 16 17 Pre-module 1s 21 16 22 19 24 172 22 18 14 16 19 20 12 22 16 17 16 18 score Past- module 22 25 17 24 16 29 20 23 19 20 15 15 18 26 18 24 18 25 19 16 score
The following data have been collected on the number of times that owner-occupied and renter-occupied units had a water supply stoppage lasting or more hours over a -month period. Number of Units (1,000s) Number of Times Owner Occupied Renter Occupied 0 548 23 1 5,012 541 2 6,110 3,734 3 2,544 8,660 4 times or more 557 3,784 Do not round intermediate calculations. Round your answers to two decimal places. a. Define a random variable number of times that owner-occupied units had a water supply stoppage lasting or more hours in the past months and develop a probability distribution for the random variable. (Let represent or more times.) x f(x) 0 1 2 3 4 Total b. Compute the expected value and variance for x. E(x) Var(x) c. Define a random variable number of times that renter-occupied units had a water supply stoppage lasting or more hours in the past months and develop a probability…
Research department of the Municipal hospital in Prampram collected the mass (kg) of patients :it visited the health facility on March, 2018. Below are the masses (kg) of 40 patients who visited •.r hospital for analysis: 55 70 57 73 55 59 64 72 60 48 58 54 69 51 63 78 75 64 65 57 71 78 76 62 49 66 62 76 61 63 63 76 52 76 71 61 53 56 67 71 a) Construct a frequency table for the data using class width of 5. b) Calculate the mean, median and the standard deviation of the mass of the distributior c) Construct the cumulative graph.
9. The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey claims that there are 368 grams of chocolate in one bag. Hershey Kiss Weights in Grams 4.76 4.72 4.74 4.55 4.91 4.74 4.78 4.71 4.80 4.78 4.78 4.75 4.79 4.82 4.91 4.83 4.68 4.74 4.70 4.80 4.70 4.76 4.70 4.83 4.93 4.74 4.84 4.82 4.76 4.77 4.72 4.78 4.83 4.75 4.74 4.68 4.84 4.71 4.71 4.76 4.66 4.78 4.73 4.74 4.92 4.77 4.80 4.79 4.86 4.64 4.78 4.70 4.75 4.78 4.76 4.83 4.66 4.77 4.83 4.78 4.69 4.81 4.68 4.78 4.88 4.72 4.85 4.85 4.81 4.74 4.80 4.82 4.84 4.70 4.85 4.70 4.81 4.72 4.79 4.73 4.61 Standard Deviation & the Empirical Rule: Variation is a big factor in the analysis of most any data set and it will be very important to have a way of measuring it. Standard Deviation is one such measure. Find the Standard Deviation of the data. You can use the stdev or stdev.s functions in Excel. A bell-shaped…
An article included the accompanying data on 17 fish caught in 2 consecutive years. Year FishNumber Weight(g) Length(mm) Age(years) Year 1 1 777 410 9 2 581 368 11 3 540 357 15 4 647 373 12 5 537 361 9 6 892 385 9 7 674 380 10 8 782 400 12 Year 2 9 570 407 12 10 628 410 13 11 728 421 12 12 866 446 19 13 1,043 478 19 14 803 441 18 15 833 454 12 16 765 440 12 17 728 427 12 (a) Fit a multiple regression model to describe the relationship between weight and the predictors length and age. (Use x1 for length and x2 for age. Round your numerical values to two decimal places.) = (b) Carry out the model utility test to determine whether at least one of the predictors length and age are useful for predicting weight. Use a significance level of 0.05. Calculate the test statistic and find the P- value. (Round your answer to two decimal places.) F = P-value =
A certain article reported the following observations, listed in increasing order, on drill lifetime (number of holes that a drill machines before it breaks) when holes were drilled in a certain brass alloy. 12 15 21 23 30 58 60 65 68 67 82 83 86 88 104 104 111 118 124 137 140 141 147 158 USE SALT sample mean 10% trimmed mean 25% trimmed mean 90 773 15 268 Compare these measures. 72 93 38 43 47 50 162 169 185 205 249 263 289 321 389 514 74 76 77 79 95 99 100 103 Compute the sample median, sample mean, 10% trimmed mean, and 25% trimmed mean for the lifetime data. (Round 25% trimmed mean to four decimal places.) sample median PRACTICE ANOTHER 4
10. The following data was collected from 1 bag of Hershey Kisses®. Each Kiss® was weighed in grams with the wrapper and recorded in the table below. Hershey cims that there are 368 grams of chocolate in one bag. Hershey Kiss Weights in Grams 4.76 4.72 4.74 4.55 4.91 4.74 4.78 4.71 4.80 4.78 4.78 4.75 4.79 4.82 4.91 4.83 4.68 4.74 4.70 4.80 4.70 4.76 4.70 4.83 4.93 4.74 4.84 4.82 4.76 4.77 4.72 4.78 4.83 4.75 4.74 4.68 4.84 4.71 4.71 4.76 4.66 4.78 4.73 4.74 4.92 4.77 4.80 4.79 4.86 4.64 4.78 4.70 4.75 4.78 4.76 4.83 4.66 4.77 4.83 4.78 4.69 4.81 4.68 4.78 4.88 4.72 4.85 4.85 4.81 4.74 4.80 4.82 4.84 4.70 4.85 4.70 4.81 4.72 4.79 4.73 4.61 How might standard deviation and the shape of the distribution indicate how consistent Hershey® is in the manufacturing of their Kisses®?

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