Ho: there is no relationship between favorite type of music and age group
Ha:there is a significant relationship between favorite type of music and age group
Applying chi square test:
X2stat =146.45
p value =0.0000
reject Ho ; there is sufficient evidence of a ..........
Is there a generation gap in the type of music that people listen to? The accompanying...
Is there a generation gap in the type of music that people listen to? The accompanying table represents the type of favorite music for a sample of 1,000 respondents classified according to their age groups. At the 0.01 level of significance, is there evidence of a relationship between favorite type of music and age group? EClick the icon to view the table State the null and alternative hypotheses to test Ho T123 = T4 i Type of favorite music classified...
is there a generation gap in the type of music we listen to? Calculate the test statistic find x^2stat & p value using 0.05 level of significance how do you use excel to solve?
In 2012, the General Social Survey asked a random sample of adults, "Compared to most people, how informed are you about politics?" Suppose that the following are the data classified by their responses to this question and their age group (the data has been modified slightly for testing purposes) Not at Al A Little 30 29 26 59 Extremely Somewhat Very 13 24 25 78 28 Age 20-29 Age 30-39 Age 40-49 Age 50 or older 16 49 20 120...
Conduct a formal hypothesis test of the claim that the mean longevity is less than 57 days. Test at significance α=0.05. Your written summary of this test must include the following: Your null and alternate hypotheses in the proper format. The type of distribution you used to construct the interval (t or normal). The P-value and its logical relationship to α (≤ or >). Your decision regarding the null hypothesis: reject or fail to reject. A statement regarding the sufficiency/insufficiency...
For the two variables of interest: Create a scatter plot with Percent Time Asleep as the independent variable x and Longevity as the dependent variable y. The plot must include an informative title, along with correct labels for both axes. Include a plot of the least-squares equation (see #5 below). Calculate the correlation coefficient and the coefficient of determination. Identify any data points on the scatter diagram that appear to be influential. Use Cook's Distance > (4⁄√n) as the criterion...
The accompanying table lists the numbers of words spoken in a day by each member of 56 different randomly selected couples. Complete parts (a) and (b) below. Click the icon to view the data on words spoken in a day by the couples. a. Use a 0.05 significance level to test the daim that among couples, males speak fewer words in a day than females. In this example. He is the mean value of the differences d for the population...
Insurance companies track life expectancy information to assist in determining the cost of life insurance policies. Life expectancy is a statistical measure of average time a person is expected to live, based on a number of demographic factors. Mathematically, life expectancy is the mean number of years of life remaining at a given age, assuming age-specific mortality rates remain at their most recently measured levels. Last year the average life expectancy of all the Life Insurance policyholders in Ontario...
data: (copy and paste in excel to view columns in alignment) Sample Repair Time (days) 1 12 2 17 3 9 4 16 5 10 6 18 7 12 8 14 9 15 10 14 11 14 12 8 13 11 14 10 15 8 16 8 17 14 18 12 19 14 20 13 21 12 22 15 23 15 24 10 25 24 26 17 27 13 28 15 29 13 30 15 31 36 32 40 33 ...
MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question. Provide an appropriate response. 1) Many people think that a national lobby's successful fight against gun control legislation is reflecting the will of a minority of Americans. A random sample of 4000 citizens yielded 2250 who are in favor of gun control legislation. Estimate the true proportion of all Americans who are in favor of gun control legislation using a 98% confidence interval. Express the...
Forecasting labour costs is a key aspect of hotel revenue management that enables hoteliers to appropriately allocate hotel resources and fix pricing strategies. Mary, the President of Hellenic Hoteliers Federation (HHF) is interested in investigating how labour costs (variable L_COST) relate to the number of rooms in a hotel (variable Total_Rooms). Suppose that HHF has hired you as a business analyst to develop a linear model to predict hotel labour costs based on the total number of rooms per hotel...