You have calculated a Cramer’s V of .20, in a 3 x 3 cross-tabulation conducted within a sample of 1000 participants. You are interested in determining whether or not this value is significantly different from zero (alpha = 0.05). What is the obtained value of chi-square that you would use in your hypothesis test? Express your answer with four decimal places. (80) How many degrees of freedom do you have in your analysis? (4) To what critical value of chi-square would you compare your obtained value? Express your answer with four decimal places. (9.4877)

You have calculated a Cramer’s V of .20, in a 3 x 3 cross-tabulation conducted within a sample of 1000 participants. You are interested in determining whether or not this value is significantly different from zero (alpha = 0.05). What is the obtained value of chi-square that you would use in your hypothesis test? Express your answer with four decimal places. (80) How many degrees of freedom do you have in your analysis? (4) To what critical value of chi-square would you compare your obtained value? Express your answer with four decimal places. (9.4877)

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter5: Inverse, Exponential, And Logarithmic Functions

Section5.6: Exponential And Logarithmic Equations

Problem 64E

See similar textbooks

Similar questions

Repeat Example 5 when microphone A receives the sound 4 seconds before microphone B.
To this point, the work of days missed per month by workers at a large corporation has average 2.25. A new flexible workday arrangement has been introduced and it is hoped that by introducing this "flex time" that the average workdays miss per month will be reduced. Let alpha=.05 A) defined the appropriate parameter for this problem and then set up the appropriate Null and alternative hypothesis a. The average number of work days missed by all workers at a large corporation. Ho: x bar=2.25; Ha: x bar < 2.25 b. The average number of work days missed by all workers at a large corporation Ho: mu = 2.25; Ha: mu < 2.25 c. The number of work days missed by the workers d. The average number of workdays mess by the 20 workers at a large corporation. Ho: mu =2.25; Ha: mu. 2.25
If after performing a t-test for comparison of means (alpha= .05) we obtain p=0.0256, what is our conclusion? a. Fail to reject H0 b. Reject H0 c. Reject H1 d. Unable to determine from the information provided
To this point, the work of days missed per month by workers at a large corporation has average 2.25. A new flexible workday arrangement has been introduced and it is hoped that by introducing this "flex time" that the average workdays miss per month will be reduced. Let alpha=.05 A) Define the appropriate parameter for this problem and then set up the appropriate Null and alternative hypothesis a. The average number of work days missed by all the workers at a large corporation. Ho: x bar= 2.25; Ha: x bar < 2.25 b. the Average number of work days missed by all workers at a large corporation Ho: mu =2.25; Ha: mu < 2.25 c. Number of workdays mess by the workers d. The average number of workdays mess by the 20 workers at a large corporation Ho: mu =2.25 ; Ha: mu> 2.25 B) Flex time is tried out with a sample of 20 workers. The average number of days missed in the next month is 1.83 with a standard deviation of 0.71. Make any necessary assumptions and use the data to (a) calculate…
You are using t-test with 15 degrees of freedom to test H0: u=112 vs Ha: u<112, and the rejection was defined to be all the values less than -1.753. What is the implied value of alpha that this test is being performed at?
For b there are two cases and for c I have to plug the initial data into the ode
(a) Where does g(x) = x x!(−x)! equal zero? What other familiar function has the same set of roots? (b) The function e−x2 provides the raw material for the all-important Gaussian bell curve from probability, where it is known that )∞ −∞ e−x2 dx = √π. Use this fact (and some standard integration techniques) to evaluate (1/2)!. (c) Now use (a) and (b) to conjecture a striking relationship between the factorial function and a well-known function from trigonometry.
QUESTION 5 The decision rule for a Wilcoxon signed-rank test is always to reject H0 if W is greater than or equal to the critical value. True False
If the critical t is ±1.796 and the obtained t is -2.09, what decision would you make regarding the null hypothesis?
To increase egg production, a farmer decided to increase the number of times the lights in his henhouse were on. Ten hens were randomly selected, and the number of eggs each produced was recorded. After one week of lengthened light time, the same hens were monitored again. The data is given here. At α = 0.05, can it be concluded that the increased light time increased egg production? Hen 1 2 3 4 5 6 7 8 9 10 Before 4 3 8 7 6 4 9 7 6 5 After 6 5 9 7 4 5 10 6 9 6
Let X1, . . . , Xn, . . . ∼ iid Bern(θ). Consider the Bayes estimator under squared error loss with the Unif(0,1) prior. Show that this estimator is consistent.
An efficiency study of the morning shift at a factory (7:00 A.M. to 12:00 noon) indicates that an average worker who arrives on the job at 7:00 A.M. will have produced Qunits t hours later, whereQ(t) = -t3 + 9t2 + 15tWhen during the morning shift does the worker’s production reach the point of diminishing returns?