Question 4A researcher wants to know how long it takes, on average, for a certain species of bacteria to divide. Shewatches 19 cells through a microscope and times how long it takes them to divide. She obtains thefollowing data, in hours:T=827.1, 6.1, 5.8, 7.7, 8.4, 7.9, 5.1, 6.8, 6.9, 7.7, 5.5, 7.2, 10.1, 4.5, 9, 7.1, 7, 6.6, 7.4Assuming the population standard deviation is a = 1, construct a 90% confidence interval for the averagetime it takes this species of bacteria to divide.zę||Margin of Error: E =▼< >hours andWe are 90% confident that this species of bacteria takes, on average, betweenhours to divide.Submit QuestionW

The times of 19 cells to divide, are given.

Answered: A researcher wants to know how long it…

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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Listed below are amounts of strontium-90 (in millibecquerels, or mBq) in a simple random sample of baby teeth obtained from residents in a region born after 1979. Use the given data to construct a boxplot and identify the 5-number summary. a. The 5-number summary is all in mBq. (Use ascending order. Type integers or decimals. Do not round.) b. Which boxplot below represents the data?
You are observing the speeds of two CPUs, to find which one is expected to run faster. After a number of observations, you came up with the following results: CPU Speed Measurements 37 38 40 35 30 31 26 25 Number of Observations 18 15 CPU 1 CPU 2 10 10 10 5 0 2.0-24 2.5-2.9 3.5 - 3.9 4.0 - 4.5 3.0-3.4 Speed (GHz) A. Using this data, calculate the expected speed of each processor, and determine which of the two is faster. (Hint: when given a range of speeds, you can consider the average value within that range to be the speed at which the observations occurred).
The table shows the leading causes of death in a certain country in a recent year. The population of the country was 311311 million. If you lived in a typical city of 500,000, how many people would you expect to die of cancercancer each year? Cause Deaths Cause Deaths Heart disease 596 comma 700596,700 Alzheimer's disease 84 comma 90084,900 Cancer 575 comma 300575,300 Diabetes 73 comma 40073,400 Chronic respiratory diseases 143 comma 100143,100 Pneumonia/Influenza 53 comma 40053,400 Stroke 128 comma 600128,600 Kidney disease 45 comma 30045,300 Accidents 122 comma 500122,500 Suicide 38 comma 60038,600 About people would be expected to die of cancer each year. (Type a whole number. Round to the nearest person as needed.)
Question # 5: Twenty-five army inductees in Ontario were given a blood test to determine their blood type. The data set is A B B AB O O O B AB B B B O A O A O O O AB AB A O B A Calculate the single-number estimate of the population proportion of the army inductees who got blood type O.
Question 4 Construct a spreadsheet simulation model to simulate 1,000 rolls of a die with the eight sides - 1, 2, 3, 4, 5, 6, 7 and 8. For each roll of two dice, record the sum of the dice. Construct a histogram of the 1,000 observations of the sum of two dice.
#10).
A mixture of sucrose and water was heated on a hot plate, and the temperature (in °C) was recorded each minute for 20 minutes by three thermocouples. The results are shown in the following table. Time O 1 2 3 4 5 6 7 8 9 71 20 18 29 32 37 36 46 46 56 58 11 10 11231415 167 18 19 20 INR888 gege 64 72 79 84 82 87 98 103 107 103 102 T2 ON 18 22 22 25 37 46 45 44 54 64 69 65 80 74 87 93 90 100 100 103 103 T3 21 11 26 35 33 35 44 43 63 68 62 65 80 75 78 88 91 103 112 107 104 Compute the least-squares line for estimating the temperature as a function of time, using 73 as the value for temperature. (Round the ▼
A psychologist believed that as children get older, they engage in more “inactive activities” such as playing computer games, watching TV and surfing the internet. She collected data from 10 children. She recorded the age of each child and the amount of activity (in hours) the child engaged in per week. Age Activity 7 4.3 9 3.2 10 1 13 1.5 12 1.2 15 0.8 9 3 12 4 15 1.5 14 1.9 Using excel, obtain a scatterplot of the data. Discuss the relationship between age and activity based on the scatterplot. Using excel, obtain the simple linear regression linear regression line predicting activity from age. Interpret the intercept and slope of the regression line. By hand, predict the amount of activity for age = 14. By hand, calculate the residual for age = 14 Using excel output, test the null hypothesis that the slope coefficient is zero using the p-value approach. Write one sentence interpreting the meaning of this result. Make sure to report the test statistic…
A population starts with 16 carpet beetles and in a week the population increase by 1 new beetle for every 4 beetles that were there the previous week which can be shown in the following table: Week 0 Week 1 Week 2 Week 3 = 31 Week 5 = 49 Week 4 16 20 25 = 39 How many beetles do you estimate there will be by Week 8?
Age is a variable that is important in most if not all epidemiological studies of health because our health is so strongly related to age. The following table is a two-dimensional table that summarizes the distribution of age in a certain population every five years starting with 1970 (the first row) to 2000 (the last row). Each row contains information for one year. Reading across the row (over the column), the table shows the number of individuals in each age group. If you choose this option, please do the following: (a) using the data provided, produce a new two-dimensional table that shows, for each year, the percentage of that year’s total population in each age interval (Tip! In each row, the sum of your percentages should be 100%); and (b) write a brief report (a paragraph or so, no more!) on what these summaries suggest regarding the possibility (or lack thereof) of changes over time in the age distribution of this population. Interval of Age, years…

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