3 You have observed 10 workers on the shop floor and have timed how long it takes each toproduce an item. You have been able to match these times with the length of the workersexperience. The results are:WorkerExperience(months)Time taken(minutes)272263033.4820226.9.20712168.16159.30106.19a) Draw a scatterplot for the data and comment.b) Determine the relationship between the workers' experience and time taken to produce anitem. Hence, estimate how long a worker with 10 months experience will take to producean item.c) If the company would like an item to be produced within 22 minutes, advise how muchexperience workers need.d) Calculate the Pearson's correlation coefficient and discuss its value.e) Calculate and interpret the coefficient of determination.

Answered: a) Draw a scatterplot for the data and…

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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Please provide a complete and clear solution. Please answer for I have 30 minutes left. Thank you very much.
Complete part C. C. Compute an estimate of the population parameter. Telephone survey of 2980 adults in certain country, 27% reported they own least one gun. Researchers want to estimate the true percentage of adults in that country that own at least one gun.
A researcher wants to analyse whether there is a relationship between country of origin of International students in Sydney and the suburb they currently live in. Suggest data collection approach for the researcher.
State if these variables would be expected to have a positive, negative, or no association. A. Number of schools and population size. o Positive Negative No association B. Income and number of health conditions. Positive o Negative No association C. Time spent meditating and stress level. Positive o Negative No association D. Number of pets and amount of money spent on printer ink. Positive Negative o No association E. Life expectancy and death rate. Positive Negative o No association
Suppose you as a researcher have collected data on wages, education, experiences and gender. In addition, you also asked the information on whether the respondent graduated from local or overseas university. Write a model that would allow you to test whether graduates from overseas university has different effect on wages between male and female. Describe the proxies and unit of measurement you use for the variables in the model.
1. Identify whether the variable in the information below is qualitative or quantitative. A nurse collects blood from kids and measure their blood-sugar content. This measure of blood-sugar concentration is a variable. a. quantitative b. qualitative c. qualitative as well as quantitative d. neither qualitative nor quantitative 2. Identify the technique for gathering data in the study below. A pharmaceutical firm wants test the effectiveness of a new drug. It wants to know if the new drug is significantly stronger than the conventional drug. This is a/an study. a. observational b. experimental c. census d. sampling 3. You want to plot a frequency graph of daily rainfall, with rainfalls (inches) on the horizontal axis. You will use a a. bar chart b. histogram c. cumulative frequency d. best fit line 4. Frequency of categorical data are displayed using a a. bar chart b. histogram c. time series graph d. best fit line
Part 2. Complete the following statements. A) The cumulative enrolment is the enrolment of the intervals smaller than the interval in question or equal to the latter. The graph of cumulative enrolment is represented by a function in B) The average, median and mode are three measures of of the C) The term refers to any data that deviates disproportionately from others. D) When the residual values are zero, then the correlation is called
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Answer only the requirement 2 and 3.
refer to the following: For countries listed in the Human Development Report, the correlation between the percent of people using the Internet and per capita gross domestic product (GDP) is 0.888. The correlation (r) between the percent of people using the Internet and the percent using cell phones is 0.818. The correlation between the percent of people using the Internet and the literacy rate is 0.669. The correlation between the percent of people using the Internet and the fertility rate is -0.551. 10) Which variable (GDP, percent using cell phones, literacy rate, or fertility rate) has the strongest linear association with Internet use? Which variable has the weakest linear association with Internet use? Strongest: Weakest:
A doctor wanted to determine whether there is a relation between a male’s age and his HDL (so-called good cholesterol). He randomly selected 9 of his patients and determined their HDL cholesterol. The data is reported in the table below: c) Compute r and r2. Interpret these statistics. d) What is your opinion of the usefulness of using age as a predictor of HDL?
Give different methods of collection of data.

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