Based on the graph, by how many percent did the cancer survival rate for breast cancer increase by 2012? A 8% B 15% C 20% D 10% answer is B. 15%? Can you help me to explain to me step by step please?
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Based on the graph, by how many percent did the cancer survival rate for breast cancer increase by 2012?
answer is B. 15%? Can you help me to explain to me step by step please?
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- Population Genetics In the study of population genetics, an important measure of inbreeding is the proportion of homozygous genotypesthat is, instances in which the two alleles carried at a particular site on an individuals chromosomes are both the same. For population in which blood-related individual mate, them is a higher than expected frequency of homozygous individuals. Examples of such populations include endangered or rare species, selectively bred breeds, and isolated populations. in general. the frequency of homozygous children from mating of blood-related parents is greater than that for children from unrelated parents Measured over a large number of generations, the proportion of heterozygous genotypesthat is, nonhomozygous genotypeschanges by a constant factor 1 from generation to generation. The factor 1 is a number between 0 and 1. If 1=0.75, for example then the proportion of heterozygous individuals in the population decreases by 25 in each generation In this case, after 10 generations, the proportion of heterozygous individuals in the population decreases by 94.37, since 0.7510=0.0563, or 5.63. In other words, 94.37 of the population is homozygous. For specific types of matings, the proportion of heterozygous genotypes can be related to that of previous generations and is found from an equation. For mating between siblings 1 can be determined as the largest value of for which 2=12+14. This equation comes from carefully accounting for the genotypes for the present generation the 2 term in terms of those previous two generations represented by for the parents generation and by the constant term of the grandparents generation. a Find both solutions to the quadratic equation above and identify which is 1 use a horizontal span of 1 to 1 in this exercise and the following exercise. b After 5 generations, what proportion of the population will be homozygous? c After 20 generations, what proportion of the population will be homozygous?the danieativeA realty company wants to create a linear model that will estimate the selling price of homes as a function of family. There is particular concern for obtaining the most efficient estimate of the relationship between income and house price. The company has collected data on their sales experience over the past years, and the data are contained in the attached table. Complete parts a though d below. Click the icon to view the data. Click the icon to view the upper critical values of the chi-square distribution. a. Estimate the regression of house price on family income. House Price = +2.35 (Family Income) (Round to two decimal places as needed.)
- Testing for a Difference in Pulse RatesDo you think your pulse rate is higher when you are taking a quiz than when you are sitting in a lecture? The data in Table 1 show pulse rates collected from 10 students in a class lecture and then from the same students during a quiz. The data are stored in QuizPulse10. Student 1 2 3 4 5 6 7 8 9 10 Mean Std. Dev. Quiz 75 52 52 80 56 90 76 71 70 66 68.8 12.5 Lecture 73 53 47 88 55 70 61 75 61 78 66.1 12.8 Table 1 Quiz and lecture pulse rates for 10 students We might expect mean pulse rates to increase under the stress of a quiz. Test whether the data provide sufficient evidence to support this claim. Use a 5% significance level.Click here for the dataset associated with this question. Give the test statistic and the p-value.Round your answer for the test statistic to two decimal places and your answer for the p-value to three decimal places.test statistic = p-value = Give the conclusion. a) Reject H0. b) Do not reject H0. Is…Celebrity Net Worth Listed below are the highest amounts of net worth (in millions of dollars) of celebrities. The celebrities are Tom Cruise, Will Smith, Robert De Niro, Drew Carey, George Clooney, John Travolta, Samuel L. Jackson, Larry King, Demi Moore, and Bruce Willis. What do the results tell us about the population of all celebrities? Based on the nature of the amounts, what can be inferred about their precision?Testing for a Difference in Pulse RatesDo you think your pulse rate is higher when you are taking a quiz than when you are sitting in a lecture? The data in Table 1 show pulse rates collected from 10 students in a class lecture and then from the same students during a quiz. The data are stored in QuizPulse10. Student 1 2 3 4 5 6 7 8 9 10 Mean Std. Dev. Quiz 75 52 52 80 56 90 76 71 70 66 68.8 12.5 Lecture 73 53 47 88 55 70 61 75 61 78 66.1 12.8 Table 1 Quiz and lecture pulse rates for 10 students We might expect mean pulse rates to increase under the stress of a quiz. Test whether the data provide sufficient evidence to support this claim. Use a 5% significance level. Round your answer for the test statistic to two decimal places and your answer for the p-value to three decimal places.test statistic = ?p-value = ?
- Testing for a Difference in Pulse RatesDo you think your pulse rate is higher when you are taking a quiz than when you are sitting in a lecture? The data in Table 1 show pulse rates collected from 10 students in a class lecture and then from the same students during a quiz. The data are stored in QuizPulse10. Student 1 2 3 4 5 6 7 8 9 10 Mean Std. Dev. Quiz 75 52 52 80 56 90 76 71 70 66 68.8 12.5 Lecture 73 53 47 88 55 70 61 75 61 78 66.1 12.8 Table 1 Quiz and lecture pulse rates for 10 students We might expect mean pulse rates to increase under the stress of a quiz. Test whether the data provide sufficient evidence to support this claim. Use a 5% significance level.Click here for the dataset associated with this question. Give the test statistic and the p-value.Round your answer for the test statistic to two decimal places and your answer for the p-value to three decimal places.test statistic = p-value = I have already submitted this one and yall got it wrong please…ticket prices for an event vary according to age group. the table shows the nmber of tickents sold for each age group in a day. what is the average ticket price for all tickents sold that day? $6.25 $7.00 $7.18 $7.50 .Examples of one way ANOVA Test
- Infectious Disease A cohort of hemophiliacs is followed to elicit information on the distribution of time to onset of AIDS following seroconversion (referred to as latency time). All patients who seroconvert become symptomatic within 10 years, according to the distribution available in the table below. Latency time to AIDS among hemophiliacs who become HIV positive Latency time (years) Number of patients 0 1 2 3 * 4 5 6 7 8 9 10 LAUSE SALT 2 6 8 29 48 67 55 35 17 12 4 (a) Consider the following questions. (Enter your answers using interval notation. Round your numerical values to three decimal places.) Assuming an underlying normal distribution, compute a 95% CI for the mean of the latency times. (5.003,5.432) * Assuming an underlying normal distribution, compute a 95% CI for the variance of the latency times. (b) Still assuming normality, estimate the probability p that a patient's latency time will be at least 8 years. (Round your answer to four decimal places.) 0.0684 (c) Now…z score and iq scoreSeveral factors influence statistical power for a one-sample t How does statistical power change (increase or decrease) for each of the following changes? When d(effect size) increases. When N(sample size) increases. When the alpha level is made smaller. Explain your answer. For example, if we know ahead of time that the effect size d is very small, what does this tell us about the N we will need in order to have adequate statistical power? (We assume that all other terms included in the r ratio remain the same.)