The following table contains the number of successes and failures for three categories of a variable. Test whether the proportions are equal for each category at the a = 0.1 level of significance. Category Category 2 Category Failures 34 78 44 Successes 24 50 88 EClick the icon to view the Chi-Square table of critical values. State the hypotheses. Choose the correct answer below A. H:The categories of the variable and success and failure are independent. H: The categories of the variable and success and failure are dependent. B. Ho H1 E and u2 E2 and H,: At least one mean is different from what is expected. H3 E3 C. H: The categories of the variable and success and failure are dependent H: The categories of the variable and success and failure are independent. OD. H: p. pp Click to select your answer(s). y tabie co lns the number of successes and failures for three categories of a variable. Test whether the proportions are equal for each category at the a 0.1 level of significance. oow Category Category 2 Category 3 Failures 34 78 44 Successes 24 50 88 Click the icon to view the Chi-Square table of critical values. ompute the value of the chi-square test statistic - (Round to three decimal places as needed.) Jhat range of P-values does the test statistic correspond to? he P-value is What conclusion can be made? O A. The P-value is greater than or equal to a, so do not reject Ho. There is sufficient evidence that the categories of the variable and success and failure are dependent O B. The P-value is less than a, so reject H. There is sufficient evidence that the proportions are different from each other. Click to select your answer(s).

The accompanying data represent the wait time​ (in minutes) for a random sample of 40  visitors to a popular attraction in a large amusement park. Use the sample data to complete parts​ (a) through​ (d). Click the icon to view the data for wait times. (Data table and histogram graphs attached)

Conduct a multiple comparison test to determine if there is an overall best supplier or if one supplier can be eliminated because of poor quality. Use a 0.05 level of significance. (Round your answers for the critical values to four decimal places.) Comparison   pi − pj   CVij SignificantDiff > CVij A vs. B .01 0.0242    no A vs. C .05 0.0319    yes B vs. C .04 0.0336    yes Can any suppliers be eliminated because of poor quality? (Select all that apply.) Supplier A Supplier B Supplier C none

Vijay

Find the 5 number summary for the data shown x 3.9 5.4 6.5 8.9 11.3 11.8 24.6 27.8 28.4 5 number summary:3.9 ____, ______, ______, 28.4Use the Locator/Percentile method described in your book, not your calculator

For each test below, describe what it is used for and to what type of data does it apply.(a) Rosner’s test(b) Grubb’s test(c) Dixon’s test

Is College Major qualitative or quantitative? What type of quantitative/qualitative variable is it?   Is Commuting Time qualitative or quantitative? What type of quantitative/qualitative variable is it?   Create a table with the absolute and relative frequencies of College Major. Screenshot attached thank you

Q3: Calculates Mean, Median, Mode, Variance and Coefficient of variation. Also show that: Q1 = P25, D5= P50, Q3= P75 41-47 Classes 34-40 6. 8. 10 4 12 frequency

help

True or False? H0 for the sign test always states that the mean difference between the matched or paired samples is zero. 5