Study the table given below and answer the questions that followDepartmentTotal Number of Employees in different Departments of an Organization and Percentage of Females and MalesTotal No. of EmployeesPercentage ofFemalesPercentage of MalesIT8404555Accounts2203565Production9002377HR3606535Marketing4504456CustomerService4060DP208DP208208Q39040 041 042 043O(A) 157%OP298The total number of employees in the HR department forms approximately whatpercent of the total number of employees in the Accounts department?O (8) 137%O (c) 178%O (D) 149%(E) 164%

To find the percentage of the total number of employees in the HR Department relative to the…

Answered: Study the table given below and answer…

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

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Researchers wondered whether the size of a person's brain was related to the individual's mental capacity. They selected a sample of 5 females and 5 males and measured their MRI image pixel counts and IQ scores. Females Males MRI IQ MRI IG The data is reported to the right. Complete parts (a) through (d) below 139 858,472 140 955,003 935,494 924,059 1.079.550 1,001.121 Click the icon to view the critical values table. 991,305 138 141 857,782 833,868 790,619 133 135 132 141 135 140 AMRI 1,080,000- AIO 145 AIO 145- AMRI 1,080,000 780,000 130 130 780,000 130 780,000 780,000 130 1,080,000 145 1,080,000 MRI 145 MRI (b) Compute the linear correlation coefficient between MRI count and IQ. Are MRI count and IQ linearly related? Select the correct choice below and, if necessary, fill in the answer box to complete your choice. (Round to three decimal places as needed.) A. Yes, MRI count and IQ are linearly related since the linear correlation coefficient is O B. No. MRI count and IQ are not…
Suppose you have access to a database with the variables listed below. Using the two variables BMI(the predictor) and diabetes(the outcome) Name two types of descriptive statistics you could report specifying the variables BMI and diabetes.
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Which of the following is a characteristic of quantitative data? A It focuses on subjective interpretations and opinions B It is collected through interviews and focus groups. C It can be easily represented using graphs and charts D) All of the above
Because the total population in 2050 is much larger than the Comparison of Population in the United States in 1950 and 2050 (in millions of persons) 1950 population, comparing percentages in each age group is clearer than comparing counts. Make a table of the Age Group 1950 2050 percentage of the total population in each age group for both Under 10 years | 29.3 | 56.2 1950 and 2050. 10 to 19 years 21.8 || 56.7 Only one age group in 1950 represents a larger percentage of the population than it does in 2050. For that age group, 20 to 29 years | 24.0 | 56.2 30 to 39 years | 22.8 | 55.9 determine the difference of the percentages between 1950 and 2050. Report your answer to the tenth of a percent. 40 to 49 years 19.3 52.8 50 to 59 years 15.5 || 49.1 60 to 69 years| 11.0 | 45.0 70 to 79 years 5.5 34.5 difference in percentages: % 80 to 89 years 1.6 | 23.7 90 to 99 years 0.1 8.1 100 years and 0.6 over Total 151.1 310.6
Can you answer number 16 please
This dataset of size n - 51 is for the 50 states and the District of Columbia in the United States. The variables are - year 2002 birth rate per 1000 females 15 to 17 years old and z- poverty rate (the percent of the state's population living in households with in- comes below the federally defined poverty level) i- 13.1 - 22.3 R- 51, Su - E(-2) - 914.7 S, - E( -2)( - 6) - 1, 256.2 Su - E(m - M) - 3, 249 SSE - E(w - - 1, 509.6 1. Find A. A and r. 2. Write the fitted linear regression model for ý, in terms of z, A, and A- For A and , use the values you obtained in problem 1. 3. Interpret the slope of the least squares line based on the context. 4. Find SST, SE and SSR. 5. Find R* and . 6. Complete a chart for ANOVA df MS pvalue Source Regression Error Total 7. Complete a chart for Parameter Estimates. t-value pvalue Parameter Intercept Slope Estimate S.e. 8. What is the residual e, for the observation (.) - (20.1,31.5)? 9. What is the conclusion for the test Ha : -0 vs Ho : +0 with a -…
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Following are some of the variables from a survey conducted by the U.S. Census Bureau. Which of the variables is quantitative? all of the above the number of people living in a household O the total household gross income O the ages of household residents.
Please answer part a-d. please show all your work

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