Refer to the table below: Table 1. 1985 Philippine Statistics Report Number Total Males 27,437,246 Total Females 27,231,086 Females aged 15-44 years 12,913,036 Total deaths 334,663 Maternal deaths 1,489 Deaths under 1 year 54,613 Deaths under 28 days 22, 343 Deaths due to Tuberculosis 31,650 Total live births 1,437,154 Tuberculosis cases 153,406 What is the Postnatal Mortality Rate? Group of answer choices 38.60 28.40 29.30 36.70

Refer to the table below: Table 1. 1985 Philippine Statistics Report Number Total Males 27,437,246 Total Females 27,231,086 Females aged 15-44 years 12,913,036 Total deaths 334,663 Maternal deaths 1,489 Deaths under 1 year 54,613 Deaths under 28 days 22, 343 Deaths due to Tuberculosis 31,650 Total live births 1,437,154 Tuberculosis cases 153,406 What is the Postnatal Mortality Rate? Group of answer choices 38.60 28.40 29.30 36.70

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Find the five-number summary for the given data (use hinges). The weekly salaries (in dollars) of sixteen govemment workers are listed below. 482 671 605 710 888 494 903 670 790 930 924 495 691 540 730 650 A. 482, 572.5, 681.0, 888, 930 B. 482, 572.5, 681.0, 839.0, 930 O C. 482, 605, 681.0, 790, 930 D. 482, 540, 681.0, 888, 930 O E. 482, 540, 681.0, 839.0, 930 O 0 0 0
A researcher interested in determining if there is an association between head circumference and brain volume tested for linear correlation at the a= 0.05 significance level. She took a random sample of twenty adults and measured the head circumference and brain volume (using ultrasound) for each person in the sample. The table above gives the paired data for the twenty adults. The researcher determined there is positive linear correlation between head circumference and brain volume at the 0.05 level of significance. With that information answer the following questions. 1.) Since we've determined there is linear correlation between head circumference and brain volume from the output on the TI83/84 what is "a" the y-intercept of the regression line? A. a=.508 B. a=34.740 C. a=-110.572 D. a=-823.829 2. Since we've determined there is linear correlation between head circumference and brain volume from the output on the T183/84 what is "b" the slope of the regression? A. b=34.740 B. b=.508…
On the following pages you are presented with five problems. Your job is to examine the output and discuss whether there is a statistically significant relationship between the two variables, the pattern or direction of the relationship if the relationship is significant, and the strength of the relationship if the relationship is significant. AS you discuss the strength of the relationship, you will rely on an appropriate measure of association from those that have been given. For that determination, you will need to appropriately determine the level of measurement of each of the variables being examined. Please use the Measures of Association Chart I provided to help you with your determination. You may write your responses on a separate document or next to the problems on this one.
a. Set up a contingency table on education (X) and job satisfaction (Y). If needed, round yourpercentages to one decimal place (e.g., 10.4%) .b. Analyze the table to explain if there is a relationship between education and job satisfaction. Inyour answers, be sure to compare the percentages in each row
1. Explain the difference between z-tests (which use categorical data), and t-tests (which use numerical data). 2. Conduct a t-test, both when given statistics, and when given data. 3. Conduct a t-test, 2-sample t-test, and paired t-test. 4. Differentiate between the five types of tests we have learned so far.
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City Time (minutes) Rome 24.9 Milan 26.8 Naples 26.2 Turin 28.1 Palermo 31.7 Genoa 25.8 Bologna 23.3 Florence 32.1 Bari 28.5 Catania 24.4 Verona 29.3 Venice 24.8 Messina 38.1 Padua 28.3 Trieste 28.4 Taranto 24.6 Prato 20.1 Modena 23.4 a) What is the mean commute time for these 18 cities? b) What is the median commute time for these 18 cities? c) What is the mode for these 18 cities? d) What is the variance and standard deviation of commute times for these 18 cities? e) Find the z – score value of commute time for these 18 cities. f) Find 28th and 77th Percentile of commute times for these 18 cities.
The following data was accessed January 6, 2022: Country Total Deaths Total Cases Population 5,484,942 298,766,667 7,918,490,000 853,612 482,876 619,559 149,515 World USA 58,805,186 35,109,286 1,400,494,834 22,351,104 14,015,065 333,934,783 India 214,841,765 68,424,733 Brazil UK Calculate the correct numbers using the world data above to insert in the sentences below. COVID has altered our world. But how many people have really died in the world? (media form here) Select an answer people! That's a really big number, but how can we understand that number? One way is to talk about the case fatality rate, that's the chance that a person who gets COVID will die. Based on the table, that is % of people who get COVID will die. That is in every 100 people or in every 1000 people. Another valuable number to consider is what percent of our total population have died? 36. That means 1 in every people have died. Submit Question
1. is the collection of all elements under consideration in a statistical inquiry. A. Statistics C. Population B. Sample D. Data
A breeder of golden retriever dogs has kept records on litter size for several years. They want to know if litter size is dependent on parent age. Age of Sire 9.0 7.0 6.5 4.3 5.0 4.1 3.7 8.0 7.0 4.1 4.5 7.0 6.0 Age of Dam 2.0 2.5 4.0 3.3 6.0 5.0 4.5 4.1 8.2 2.4 2.9 3.7 4.0 Litter Size 11 10 9 12 5 9 9 8 7 10 12 10 9 b. Perform a regression analysis. Define your hypothesis, state your conclusions, and show all work.
Table 1. VITAL STATISTICS OF COUNTRY Y 2020 2018 2015 Total population 109,035,343 100,981,437 92,337,852 Total marriages (Based on civil registration) 240,183 431,972 449,169 Total population of women 15-44 years old 32,962,017 28,625,793 26,417,734 Total Births (Based on civil registration) Male 990,390 750,871 632,870 Female 952,126 972,802 487,798 Total Deaths (Based on civil registration) Timely 506,530 509,762 473,987 Late 106,820 110,382 116,803 Deaths during pregnancy 7,938 7,099 6,759 Fetal deaths Early 1,942 1,236 1,326 Intermediate 1,435 1,161 1,288 Late 1,157 1,311 1,046 Infant deaths Less than 7 days 839 623 795 Less than 28 days 1,961 1,911 1,863 Less than 1 year 3,534 3,658 3,080 Top 3 Leading Causes of Mortality 1. Diseases of the circulatory system 691,225 625,213…
8.

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Number
Total Males	27,437,246
Total Females	27,231,086
Females aged 15-44 years	12,913,036
Total deaths	334,663
Maternal deaths	1,489
Deaths under 1 year	54,613
Deaths under 28 days	22, 343
Deaths due to Tuberculosis	31,650
Total live births	1,437,154
Tuberculosis cases	153,406