A researcher studied iron-deficiency anemia in women in each of two developing countries. Differences in the dietary habits between the two countries led the researcher to believe that anemia is less prevalent among women in the first country than among women in the second country. A random sample of 2200 women from the first country yielded 457 women with anemia, and an independently chosen, random sample of 1700 women from the second country yielded 372 women with anemia. Based on the study can we conclude, at the 0.05 level of significance, that the proportion p₁ of women with anemia in the first country is less than the proportion p₂ of women with anemia in the second country? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified in the parts below. (If necessary, consult a list of formulas.) (a) State the null hypothesis Ho and the alternative hypothesis H₁. H₁ : 0 H₁:0 (b) Determine the type of test statistic to use. (Choose one) μ a x S ローロ □≤o (c) Find the value of the test statistic. (Round to three or more decimal places.) □≠□ □<口 р

An epidemiologist found five cases of “big toe cancer” in the Yukon Territory. Because there were only a few cases, the epidemiologist decided to conduct a matched case-control study to determine whether shoe size larger than 9 is a risk factor for big toe cancer. Cases were individually matched to one control for daily activity, history of athlete’s foot, and history of ingrown toenails. The following data were gathered:  Shoe size > 9 Pair Case Control   1     Yes      No   2      No       No   3      No      Yes   4     Yes     Yes   5      No      Yes Compute the proper measure of association. Interpret your results. If you were to investigate a rare cancer in Lynchburg, where might you look for data? What would be necessary legally and ethically to be able to utilize this data set(s)? Submit your thread by 11:59 p.m. (ET) on Thursday of Module/Week 3, and submit your replies by 11:59 p.m. (ET) on Sunday of the same module/week. 1

Coughlin et al. (A-9) examined the breast and cervical screening practices of Hispanic and non- Hispanic women in counties that approximate the U.S. southern border region. The study used data from the Behavioral Risk Factor Surveillance System surveys of adults age 18 years or older conducted in 1999 and 2000. The table below reports the number of observations of Hispanic and non-Hispanic women who had received a mammogram in the past 2 years cross-classified with marital status. Marital Status Currently Married Divorced or Separated Widowed Never Married or Living As an Unmarried Couple Hispanic 319 130 88 41 Non-Hispanic 738 329 402 95 (a) We select at random a subject who divorced or separated? ect who ha Total 1057 459 490 136 Total 578 1564 2142 Source: Steven S. Coughlin, Robert J. Uhler, Thomas Richards, and Katherine M. Wilson, "Breast and Cervical Cancer Screening Practices Among Hispanic and Non-Hispanic Women Residing Near the United States-Mexico Border, 1999-2000," Family…

The Joint Commission on Accreditation of Healthcare Organizations mandated that hospitals ban smoking by 1994. To study the effects of this ban on smoking behaviors, subjects were randomly selected from two different populations: those from hospitals with the ban and those from hospitals without the ban. Investigators were interested in determining if this smoking ban had any impact on the proportion of smokers employed at each hospital that then quit smoking.  Let px be the proportion of smokers from hospitals that implemented the ban who quit smoking during the study period.  Let py be the proportions of smokers from hospitals without the ban who quit smoking during the study period.  Please select the appropriate hypotheses. H0: px = 0.50 HA: px ≠ 0.50 H0: px-py ≥ 0 HA: px-py H0: px-py  ≤ 0 HA: px-py > 0 H0: px-py = 0 HA: px-py ≠ 0

Part 1 of 4 The restaurants of a fast food chain are primarily located in three regions of Arizona. The CEO of the chain wants to know if the average monthly revenue of the restaurants in each region are equal. The monthly revenues (in thousads of dollars) for this past month of the restaurants in each of the three regions are given below. Conduct an ANOVA test using a 5% level of significance to determine whether or not the average monthly revenues in the three regions are equal. Monthly Revenues of Restaurants in Region 1: 179, 183.3, 156.8, 155.1, 253, 105.4, 219, 134.3, 119.9, 193.1, 188.5, 188.4 Monthly Revenuse of Restaurants in Region 2: 158.7, 175.2, 187.8, 187.1, 118.1, 179.5, 195.1, 199.7, 349.6, 226.5, 253.7, 287.4, 172.8, 290.5, 149 Monthly Revenuse of Restaurants in Region 3: 215.4, 199.8, 360.7, 273, 250, 214.2, 144.5, 165, 137, 187.6 Step 1: State the null and alternative hypotheses. Ho: P1 = P2 = H3 Ha: At least one mean isn't equal to the other means v Part 2 of 4 Step…

A recent report stated that less than 35 percent of the adult residents in a certain city will be able to pass a physical fitness test. Consequently, the city’s Recreation Department is trying to convince the City Council to fund more physical fitness programs. The council is facing budget constraints and is skeptical of the report. The council will fund more physical fitness programs only if the Recreation Department can provide convincing evidence that the report is true. The Recreation Department plans to collect data from a sample of 185 adult residents in the city. A test of significance will be conducted at a significance level of =.05 for the following hypotheses. H0:p=.35 Ha:p<.35 where p is the proportion of adult residents in the city who are able to pass the physical fitness test.   (a) Describe what a Type II error would be in the context of the study, and also describe a consequence of making this type of error. (b) The Recreation Department recruits 185 adult…

The Joint Commission on Accreditation of Healthcare Organizations mandated that hospitals ban smoking by 1994. To study the effects of this ban on smoking behaviors, subjects were randomly selected from two different populations: those from hospitals with the ban and those from hospitals without the ban. Investigators were interested in determining if this smoking ban had any impact on the proportion of smokers employed at each hospital that then quit smoking.  Among 843 smoking employees of hospitals with the smoking ban, 56 quit smoking during the study period. Among 703 smoking employees from workplaces without the smoking ban, 27 quit smoking during the study period. Below is the Stata output that was run to determine if there was a statistically significant difference between these two proportions at the α=0.05 level. A. What is the estimate of the proportion of smokers from the hospitals that implemented the ban that quit smoking (the blank labeled "C" in the above output)?…

According to a study on the effects of smoking by pregnant women on rates of asthma in their children, for expectant mothers who smoke 20 cigarettes per day, 22.2% of their children developed asthma by the age of two in the US. A biology professor at a university would like to test if the percentage is different in another country. She randomly selects 319 women who only deliver one child and smoke 20 cigarettes per day during pregnancy in that country and finds that 82 of the children developed asthma by the age of two. In this hypothesis test, Do the hypothesis test. Use a level of significance of a = 0.05; Use the unrounded values in Excel to find the answers for #3 and #4 1. This is an example of 2. Find the standard error. 3. Find the z value. Question 10 V a hypothesis test.

For a two-factor ANOVA with two levels of factor A, two levels of factor B, and a separate sample of n = 8 participants in each treatment condition, the two means for level A1 are 3 and 5, and the two means for level A2 are 4 and 2. For these data, what is the value of SSbetween treatments?

A researcher studied iron-deficiency anemia in women in each of two developing countries. Differences in the dietary habits between the two countries led the researcher to believe that anemia is less prevalent anong women in the first country than among women in the second country. A random sample of 2000 women from the first country yielded 488 women with anemia, and an independently chosen, random sample of 1700 women from the second country yielded 437 women with anemia. Based on the study can we conclude, at the 0.05 level of significance, that the proportion p, of women with anemia in the first country is less than the proportion p, of women with anemia in the second country? Perform a one-tailed test. Then complete the parts below. Carry your intermediate computations to three or more decimal places and round your answers as specified in the parts below. (If necessary, consult a list of formulas.) (a) State the null hypothesis H, and the alternative hypothesis H,. H : p1 = 2 H,…