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- 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.)A poll uses responses everal questions to calculate a "Happiness" index that measures overall happiness. An article included the happiness index for the 7 years between 2008 and 2016. Also included in the article were the percentages of people who responded "somewhat agree" or "strongly agree" to the following statements. Statement 1 (happy with life) 1: At this time, I'm generally happy with my life. Statement Year 2008 2009 2010 2011 2013 2015 2016 2 (won't benefit): I won't get much benefit from the things that I do anytime soon. Happiness Index 36 36 34 32 36 33 30 Happy with Life Statement (percentage somewhat or strongly agree) 82 83 78 79 83 80 82 Won't Benefit Statement (percentage somewhat or strongly agree) 31 37 35 39 39 37 42 (a) Calculate the value of the correlation coefficient for Happiness index and the response to the Happy with life statement. (Round your answer to four decimal places.) 0.8321 x (b) Calculate the value of the correlation coefficient for Happiness…Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282
- Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282A 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 researcher wants to know how long it takes, on average, for a certain species of bacteria to divide. She watches 17 cells through a microscope and times how long it takes them to divide. She obtains the following data, in hours:6.7, 10.5, 4.8, 5.2, 5.2, 10.6, 4.4, 5.7, 10.9, 7.5, 5.3, 4.4, 5.7, 5.2, 6.9, 4.5, 7.7Assuming the population standard deviation is σ=2σ=2, construct a 94% confidence interval for the average time it takes this species of bacteria to divide.xˉ=x̄=α2=α2=zα2=zα2=Margin of Error: E=E=We are 94% confident that this species of bacteria takes, on average, between hours and hours to divide.___
- Rate 528 715 366 391 815 527 441 976 588 278 559 686 604 498 947 1026 515 474 728 796 493 526 919 1122 304 519 559 453 438 236 176 454 661 361 226 478 381 698 351 157 347 428 554 332 610 279 237 796 365 998 618 523 491 380 804 758 1153 674 731 553 422 552 645 506 480 843 683 682 581 601 493 372 613 836 390 1053 816 936 152 444 695 597 430 920 607 996 452 506 376 282The variable-based index values of wholesale bread prices for the years 1987-2003 are given below. Given the given, what is the fixed basis wholesale bread price index for 2001?Q1) Case Study A survey was conducted to research the question whether more home runs are hit by players in the National League or by players in the American League. A Researcher decide to use the home run leaders from each league for a 40-year period as data. The numbers are shown. [6] National League 47 49 73 38 50 40 65 47 70 49 47 40 43 36 46 35 39 49 37 37 40 37 31 48 48 45 52 38 38 52 36 44 40 48 45 45 36 39 44 47 American League 47 57 52 47 48 56 56 52 50 40 46 43 39 44 51 36 42 49 49 40 43 32 39 22 41 45 46 39 32 36 32 32 37 33 44 49 44 44 49 32 (i) Define a population (ii) what kind of sample was used (iii) do you feel that it is representative (iv) what are your hypotheses? (v) what significance level will you use? (vi) what statistical test will you use? (vii) what are the results? (Assume sigma1 = 8.8 and sigma2=7.8) (viii) 95% CI? (ix) Decision (x) Conclusion (xi) Do you feel that using the data given really answers the original question asked? (xii) what other data might…