Breast cancer is strongly influenced by a woman's reproductive history. In particular, the longer the length of time from the age at menarche (the age when menstruation begins) to the age at first childbirth, thegreater the risk is for breast cancer.A projection was made based on a mathematical model that the 30-year risk of a woman in the general U.S. population developing breast cancer from age 40 to age 70 is 7%. Suppose a special subgroup of fivehundred six 40-year-old women without breast cancer was studied whose age at menarche was 17 (compared with an average age at menarche of 13 in the general population) and age at first birth was 20(compared with an average age at first birth of 25 in the general population). These women were followed for development of breast cancer between ages 40 and 70. The study found that 17 of the womendeveloped breast cancer between age 40 and age 70.You can use SALT to answer parts of this question. Please note that the Inferential Statistics page does not use the continuity-corrected version of the test statistic.(a) Test the hypothesis that the underlying rate of breast cancer is the same or different in this group as in the general population. (Use a = 0.05.)Suppose 100 million women in the U.S. population have not developed breast cancer by the age of 40.What is your best estimate of the number of breast-cancer cases that would be prevented from age 40 to 70 if all women in the U.S. population reached menarche at age 17 and gave birth to their first childat age 20? (Round your answer to the nearest integer.)casesProvide a 95% CI for the number of breast-cancer cases prevented. (Enter your answer using interval notation. Round your numerical values to the nearest integer.)

a) From the given information, The percentage of women in the general U.S population developing…

Answered: Breast cancer is strongly influenced by…

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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Most Australian youth-sports leagues separate athletes by birthdate, and the cutoff date is January 1st. Thus, those children born in January and February have some physical advantages in youth sports over those born in November and December. A recent studysuggests that those physical advantages enjoyed early in life impact the likelihood of a child becoming a professional athlete. The table gives the number of Australian-born 2009 Australian Football League players born in different months of the year, as well as the proportion of births expected if the birthdates of the athletes matched the distribution of all births nationally. Is there evidence that the distribution of birthdates of AFL athletes is not the same as the distribution of birthdates nationally? Birthdates nationally in Australia and for Australian football players Proportion Actual for Months Nationally AFL players Jan-Mar 0.248 196 Apr-June 0.251 162 Jul-Sep 0.254 137…
In a study in pre-term infants, a group where breast feeding is difficult because the mother gets home before the baby does, you run a logistic regression model where the independent variable is the mother's age and the dependent variable is whether the infant was breast feeding at discharge from the hospital. If the log odds for breast feeding for a 20 year old mom was -3.654 + (20) * 0.157 = -0.514, compute the predicted probability for breast feeding for a 20 year old mom. 0.598 / (1+0.598) O 0.598 0.598 / (1 - 0.598) -0.514 / (1+0.598)
Based on predictive modeling, this upcoming Winter is going to have very unpredictable weather. The National Weather service is considering abolishing specific long-term forecasts, and instead will utilize a statistical model that predicts a mean of six significant snowfalls per month. Use this information to answer the following question correctly: Trying to be forward-thinking, I'm going to try planning my one month long Winter Break based around this model's predictions. I will only travel for the holidays if there is at most one significant snowfall over winter break. What is the probability of this happening? O 0.0174 O 0.0149 O 0.0025 O 0.0542
Question The relationship between United States unemployment and inflation rates during the Covid-19 pandemic. Background The covid-19 pandemic has led to higher unemployment rates in the United States than normal because many people were laid off jobs in response to the pandemic (Al-Fadly, 2020). It is important to analyze how such as sharp increase in unemployment affected inflation in relation to how unemployment have traditionally affected inflation. The overall relationship between unemployment and inflation has traditionally been an inverse one. It is argued that when unemployment rates are higher, the number of individuals who are looking for jobs usually becomes higher than the number of job positions that are available (Putnam & Azzarello, 2015). In such a situation, employers tend to pay lower wages because there is abundance of workers which naturally leads to a lower wage inflation. This study will examine the relationship between unemployment rates and inflation…
Serum estradiol is an important risk factor for breast cancer in postmenopausal women. To better understand the etiology of breast cancer, serum-estradiol samples were collected from 25 premenopausal women (at about the same time period of the menstrual cycle) of whom 10 were Caucasian and 15 were African American. The data are shown in Table 7.3. The distribution of serum estradiol is usually highly skewed (especially for premenopausal women), and we are reluctant to assume normality. Table 7.3 Serum estradiol and ethnicity in 25 premenopausal women, where 0=Caucasian and 1=African-American. ID Serum_estradiol Ethic 1 94 0 2 54 1 3 31 0 4 21 1 5 46 1 6 56 0 7 18 1 8 19 1 9 12 1 10 14 0 11 25 0 12 35 1 13 22 1 14 71 0 15 43 1 16 35 1 17 42 1 18 50 1 19 44 1 20 41 0 21 28 0 22 65 0 23 31 0 24…
Consider a simple logistic model in which the response variable is attendance at a conference (yes = 1; no = 0), and the sole independent variable is a college degree (degree = 1; no degree = 0). The estimated odds ratio for the college degree variable is 1.25. What is its proper interpretation?
Section 6.2 * 36e Coronary bypass surgy: Care Pesearch and Quality reported that 53% of people who had Coronary bypass Surgery in a recent were over the age of 65. ODR 15 The Agency for Health- year Coronary bypass patients are what is the mean number oE people over the age 65 in a Sample of 15 Coronary bypass patients? e y k d V. b C alt V
Age-related Macular Degeneration (AMD) is a common eye condition leading to vision loss. It causes damage to the macula, a small spot near the center of the retina (the part of the eye needed for sharp, central vision). Researchers are interested in the experiences of people who have been diagnosed with early-onset AMD. In particular the researchers are interested in whether the mean age at diagnosis of all people with early-onset AMD is less than 55 years. A random sample of 20 people with early-onset AMD gave the following data on age at diagnosis, in years. Patient 12 3 4 5 6 7 8 9 10 Age at diagnosis 50 58 52 58 49 58 51 61 54 59 Patient 11 12 13 14 15 16 17 18 19 20 Age at diagnosis 53 44 46 47 42 56 57 49 41 43 (d) State the conclusion of the test at the 5% level of significance. (e) Discuss why or why not an approximate normal test is appropriate here. (f) Perform an approximate normal test on the data at the 5% level. (g) Stating appropriate hypotheses perform the Student-t…

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