A stock analyst wondered whether the mean rate of return of financial, energy, and utility stocks differed over the past 5 years. He obtained a simple random sample of eight companies from each of the three sectors and obtained the 5-year rates of return shown in the accompanying table (in percent). Complete parts (a) through (d) below. Click the icon to view the data table. a) State the null and alternative hypotheses. Choose the correct answer below. DA. Ho: Hinancial =Penergy and H,: the means are different O B. Ho: Hinancial "Penergy =Hutilities and H,: at least one of the means is different OC. Ho: Hinancial "Henergy =Hutilities and H: Hinancial Henergy Hutilities OD. Ho: at least one of the means is different and H,: Hinancial = Henergy "Hutilities b) Normal probability plots indicate that the sample data come from normal populations. Are the requirements to use the one-way ANOVA procedure satisfied? OA. No, because there are k =3 simple random samples, one from each of k populations, the k samples are independent of each other, and the populations are normally distributed and have the same variance. OB. Yes, because there are k = 3 simple random samples, one from each of k populations, the k samples are independent of each other, and the populations are normally distributed and have different variances. OC. No, because the largest sample standard deviation is more than twice the smallest sample standard deviation. O D. Yes, because there are k= 3 simple random samples, one from each of k populations, the k samples are independent of each other, and the populations are normally distributed and have the same variance.

At the end of a certain year, the variance in the semiannual yields of overseas government bond was o? = 0.70. A group of bond investors met at that time to discuss future trends in overseas bond yields. Some expected the variability in overseas bond yields to increase and others took the opposite view. The following table shows the semiannual yields for 12 overseas countries as of March 6 of the following year. Country Yield (%) Australia 3.98 Belgium 3.78 Canada 2.95 Denmark 3.55 France 3.44 Germany 3.08 Italy 4.51 Japan 1.32 Netherlands 3.53 Spain 3.90 Sweden 2.48 United Kingdom 3.76 (a) Compute the mean (in percent), variance, and standard deviation (in percent) of the overseas bond yields as of the March 6 date. (Round your answers to four decimal places.) mean % variance standard deviation % (b) Develop hypotheses to test whether the sample data indicate that the variance in bond yields has changed from that at the end of the initial year. O Ho: o 2 0.70 H: o2 0.70 H: o2 s 0.70…

A traffic safety company publishes reports about motorcycle fatalities and helmet use. In the first accompanying data table, the distribution shows the proportion of fatalities by location of injury for motorcycle accidents. The second data table shows the location of injury and fatalities for 2073 riders not wearing a helmet. Complete parts (a) and (b) below. Click the icon to view the tables. S alternative hypotheses? A. Ho: The distribution of fatal injuries for riders not wearing a helmet foll H₁: The distribution of fatal injuries for riders not wearing a helmet do B. Ho: The distribution of fatal injuries for riders not wearing a helmet do H₁: The distribution of fatal injuries for riders not wearing a helmet do OC. None of these. Compute the expected counts for each fatal injury. Observed Count Location of injury Multiple Locations 1042 865 37 84 45 Head Neck Thorax Abdomen/Lumbar/Spine (Round to two decimal places as needed.) Expected Count Distribution of fatalities by…

In regression, the best-fitting line through a scatterplot is known as the ______.   A. Regression line B. Correlation line C. Variance line D. Scatterplot line

Consider a sample with data values of 29, 27, 22, 17, 32, 38, 30, and 27. Compute the 20th, 25th, 65th, and 75th percentiles. Step 1 Recall that a percentile gives insight to how data are spread between the smallest and largest values. The pth percentile of a set of data indicates that p% of the data are below that value, and  (100 − p)%  are above that value. There are two components of the pth percentile: the location within the data and the actual value. The formula for finding the location of the percentile, denoted Lp, follows where p is the percentile and n is the number of observations in the ordered data set. Lp =  p 100 (n + 1) The first step in calculating a percentile is to order the data in ascending order. The ordered data are below. 17 22 27 27 29 30 32 38 There are  n = 8  observations in the data. Find the location of the p = 20th percentile. Lp  =  p 100 (n + 1) L20  =  20 100     + 1        =

Find the (a) mean, (b) median, (c) mode, and (d) midrange for the data and then (e) answer the given questions. Listed below are selling prices (dollars) of TVs that are 60 inches or larger and rated as a "best buy" by a popular magazine. Are the resulting statistics representative of the population of all TVs that are 60 inches and larger? If you decide to buy one of these TVs, what statistic is most relevant, other than the measures of central tendency? 1850 1000 1600 1000 1300 1150 1000 1100 1150 1350 1000 1450 a. Find the mean. The mean is $ (Type an integer or a decimal rounded to one decimal place as needed.)

In the world population, 81.2% of all people have dark brown or black hair, 10.3% have brown hair, 6.3% have blond hair and 2.2% have red, gray, or white hair. A researcher wants to see if the distribution of hair color is different for the residents of Nashville. The table below shows the results of a random sample of 568 residents in Nashville. What can be concluded at the significant level of a = 0.01.

Absenteeism:  Absenteeism can be a serious employment problem.  It is estimated that absenteeism reduces potential output by more than 10%.  Two economists launched a research project to learn more about the problem.  They randomly selected 100 organizations to participate in a 1-year study.  For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Perform a two-sample t-test analysis to determine if mean absenteeism is different between organizations which have a good Union management and those that do not. I have provided the F-test for two variances below: Copy and paste the Two sample t-test output below AND provide a clear conclusion supported by key statistics in the output about how absenteeism is affected by the Union Management Relationship. (I just need to know how to perform the two…

The analysis of variance is a procedure that allows statisticians to compare two or more population: Select one: a. proportions b. variances c. standard deviations d. means e. none of these

A sales team's statistical staff doesn't understand why their top salesperson's sales decreased 50% during holiday months. They bring him to the director's office, where they direct him to change his advertisement strategy.  The salesperson changes his advertisement strategy and logs sales records for the months of November, December and January.  This is an example of an Group of answer choices Observational Study Experiment None of the above