From the study of the relation between smoking and mortality, male recipients of war pensions were classified according to their smoking habits, that is, either non-smokers or smokers. The sample report to the frequencies falling under each cell frequency are given below: Alive Dead Total Non-smokers Smokers 2 9 11 2 2 5 Total 4 11 15 Does the data above indicate a real difference in the death rate between smokers and non-smokers? Use a = 0.05.
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- Listed below are pulse rates (beats per minute) from samples of adult males and females. Find the mean and median for each of the two samples and then compare the two sets of results. Does there appear to be a difference? Male: 90 53 58 83 62 54 59 70 61 73 57 67 53 96 69 Female: 91 85 93 85 81 88 88 87 94 72 67 86 80 79 77 Find the means. The mean for males is beats per minute and the mean for females is beats per minute. (Type integers or decimals rounded to one decimal place as needed.)Listed below are the measured radiation emissions (in W/kg) corresponding to cell phones: A, B, C, D, E, F, G, H, I, J, and K respectively. The media often present reports about the dangers of cell phone radiation as a cause of cancer. Cell phone radiation must be 1.6 W/kg or less. Find the a. mean, b. median, c. midrange, and d. mode for the data. Also complete part e. 0.32 1.49 1.41 0.27 1.08 0.77 0.55 0.22 1.17 1.28 1.06 a. Find the mean. The mean is (Round to three decimal places as needed.) ... nThe results of a recent poll on the preference of teenagers regarding the types of music they listen to are shown below. Teenagers Favoring This Type Music Type Teenagers Surveyed -0.03 0.05 0.47 Pop Rap 600 700 282 350 Find the point estimate of the difference between the two population proportions. 0-0.5
- A poll was conducted on a representative sample of 600 adults living in the United States in order to investigate the decline in cable and satellite TV subscriptions. For this sample, 150 adults revealed that they are "cord cutters," (that is, they canceled their cable/satellite TV service and now only use a video streaming service). You want to estimate p, the true proportion of all US adults who are "cord cutters." Complete parts a through e. Question content area bottom Part 1 a. Find p, the point estimate of p. enter your response hereSummary: This study aimed to determine whether exposure to Artificial Light At Night (ALAN) while sleeping is associated with the prevalence and risk of obesity, as previous research has shown a link between short sleep and obesity. The study involved analyzing data from 43,722 women aged 35 to 74 years in the US who had no history of cancer or cardiovascular disease and were not shift workers, daytime sleepers, or pregnant. The women reported their ALAN exposure at enrollment, and the data were analyzed from 2017 to 2018. ALAN exposure was categorized as 'No ALAN Exposure', and 'Any ALAN Exposure' (small nightlight, light outside the room, and light or television in the room). The presence of obesity was determined based on the measurement of general obesity, defined as having a body mass index (BMI) (calculated as weight in kilograms divided by height in meters squared) of 30.0 or higher. Research Question: Is artificial light at night while sleeping associated with obesity? Results:…The table to the right shows data found at a government census website, under a "Did You Know" panel. What type of data source is the information presented here based on? Private Sector Total Employment in a State All 2008 Q2 2009 Q2 Change Female 537,290 517,948 −3.6% Male 504,214 477,491 −5.3% Retail Trade Female 168,942 146,473 −13.3% Male 162,502 144,302 −11.2% Question content area bottom Part 1 Choose the correct answer below. A. The information is the outcome of an experiment that was conducted. B. The information is the result of an observational study that was conducted. C. The information is the result of a survey that was conducted. D. The information is collected via ongoing business activities. E. The information is distributed by an organization or individual.
- 130 adults with gum disease were asked the number of times per week they used to floss before their diagnoses. The (incomplete) results are shown below: # of times floss per week 0 Frequency Relative Frequency 17 19 17 19 9 15 0.1308 0.1462 0.1308 Cumulative Frequency 1 2 3 4 5 6 7 19 a. Complete the table (Use 4 decimal places when applicable) b. What is the cumulative relative frequency for flossing 4 times per week? 0.0692 0.1154 0.1154 0.1462 17 36 53 81 96 111 130 %A certain virus affects 0.7% of the population. A test used to detect the virus in a person is positive 87% of the time if the person has the virus (true positive) and 14% of the time if the person does not have the virus (false positive). Fill out the remainder of the following table and use it to answer the two questions below based on a total sample of 100,000 people. Virus No Virus TotalPositive Test Negative Test Total 100,000a) Find the probability that a person has the virus given that they have tested positive. Round your answer to the nearest hundredth of a percent and do not include a percent sign. % b) Find the probability that a person does not have the virus given that they test negative. Round your answer to the nearest hundredth of a percent and do not include a percent sign. %An industrial-organizational psychologist is interested in discovering the relationship between the tempo of preferred music that is played in a workplace and employee mood. Employees chose their favorite song on an MP3 player and then reported their moods when listening to that piece of music. A total of 10 participants were asked individually and brought in their own MP3 players; the least number of songs on an employee's MP3 player was 350. The sample data are presented as a scatterplot below. The psychologist wants to use a Pearson correlation coefficient to analyze the relationship. Considering the assumptions for this statistic, which of these statements is the correct course of action? A. The researcher has chosen the wrong statistic to represent this relationship. B. The researcher has violated a robust assumption and should be able to calculate r. C. The researcher has chosen the right statistic because all the assumptions are valid. D. The researcher has violated a…
- Data was collected for a sample of organic snacks. The amount of sugar (in mg) in each snack is summarized in the histogram below. 10 80 85 90 95 100 105 110 115 amount of sugar (mg) What the sample size for this data set? Frequency 6The table to the right gives the cost of living index (COLI) for six East Coast counties and six Midwest counties (using an index where 100 represents the average cost of living for all A participating cities with a population of more than 1.5 million). Answer parts (a) through (e) below. B a. Find the mean, median, and range for each of the two data sets. The mean for the East Coast Counties is (Type an integer or decimal rounded to two decimal places as needed.) EUCEY с D F East Coast Counties 104.9 128.7 314.2 134.1 123.5 141.1 DYWXYN Midwest Counties 96.2 92.7 94.4 87.3 95.8 228.3A marketing firm is doing research for an Internet-based company. It wants to appeal to the age group of people who spend the most money online. The company wants to know if there is a difference in the mean amount of money people spend per month on Internet purchases depending on their age bracket. The marketing firm looked at two age groups, 1818-2424 years and 2525-3030 years, and collected the data shown in the following table. Let Population 1 be the amount of money spent per month on Internet purchases by people in the 1818-2424 age bracket and Population 2 be the amount of money spent per month on Internet purchases by people in the 2525-3030 age bracket. Assume that the population variances are not the same. Internet Spending per Month 1818-2424 Years 2525-3030 Years Mean Amount Spent 62.4962.49 62.8462.84 Standard Deviation 20.0420.04 15.6415.64 Sample Size 1616 2828 Step 1 of 2 : Construct a 95%95% confidence interval for the true difference…