The main effect(s) is (are) meaningless to be investigated and interpreted when A. we fail to reject the null hypothesis for the interaction effect. В. we reject the null hypothesis for the interaction effect. there is no significant interaction effect between the factors on the response variable. С. D. there is no significant effect of main effect on the response variable. A B Answer:

How is the hatching of water python eggs influenced by the temperature of the snake's nest? Researchers assigned newly laid eggs to one of two temperatures: hot or cold. Hot duplicates the extra warmth provided by the mother python, and cold duplicates the absence of the mother. 80% (32 out of 40) hot eggs hatched. 55% (33 out of 60) cold eggs hatched. Please calculate the strength of the association by calculating Cramer's V.

A special education teacher did research on whether or not there is a relationship between the number of students in his class and the number incidents of “acting out” behaviors exhibited by the autistic students in the classroom. He collects data for a year and aggregates them by month. He obtained the statistics below,   r= -.863 R2=.74 b= -1.212294 a= 131.176598   10.) How does the presence of more students affect the incidents in the class? a) as students are added the incidences increase b) as students are added the incidences decrease c) the number of students does not affect acting out d) the number of students caused more incidents   How much of the variability of acting out is explained by the number of students in the class?___________

The following data show the pattern of results that was obtained in a study by Liguori and Robinson (2001) examining how different levels of alcohol and caffeine consumption influenced response time in a simulated driving test. The means show the average response time in milliseconds for different combinations of alcohol and caffeine. Remember larger reaction time means someone is slower to respond. For these data, indicate which are true/false There is an interaction, caffeine has a larger impact on reaction times (makes people respond faster) when participants haven’t had alcohol) A. True B. False

Are MRI count and IQ linearly​ related?   Because the correlation coefficient for females is negative/positiveand the absolute value of this correlation​ coefficient, enter your response here​#, is greater/not greater than enter your response here#​, the critical value for the female data​ set,no/a positive/a negativerelation exists between MRI count and IQ for females. Because the correlation coefficient for males is negative/positive and the absolute value of this correlation​ coefficient, enter your response here#​, is greater/not greater than the critical value for the male data​ set, enter your response here​#,no/a positive/a negative relation exists between MRI count and IQ for males. ​(Round to three decimal places as​ needed.)       Critical value table 3 0.997 4 0.950 5 0.878 6 0.811  7 0.754 8 0.707 9 0.666 10 0.632 11 0.602 12 0.576 13 0.553 14 0.532 15 0.514 16 0.497 17 0.482 18 0.468 19 0.456 20 0.444 21 0.433 22 0.423 23 0.413 24 0.404 25 0.396 26 0.388 27 0.381 28 0.374…

A sample of 548 ethnically diverse students from Massachusetts were followed over a 19-month period from 1995 and 1997 in a study of the relationship between TV viewing and eating habits. For each additional hour of television viewed per day, the number of fruit and vegetable servings per day was found to decrease on average by 0.14 serving. (a) For this study, what is the dependent variable? O location of students O number of fruit and vegetable servings per day O number of non fruit or vegetable servings per day O number of hours of television viewed per day year What is the independent variable? O location of students O number of fruit and vegetable servings per day O number of non fruit or vegetable servings per day O number of hours of television viewed per day O year (b) Would the least-squares line for predicting number of servings of fruits and vegetables using number of hours spent watching TV as a predictor have a positive or negative slope? Explain. O The slope of the least…

A major credit card company is interested in whether there is a linear relationship between its internal rating of a customer's credit risk and that of an independent rating agency. The company collected a random sample of 200 customers and used the data to test the claim that there is a linear relationship. The following hypotheses were used to test the claim. Но : В, — 0 Ha : B1 + 0 The test yielded a t-value of 3.34 with a corresponding p-value of 0.001. Which of the following is the correct interpretation of the p-value? A If the alternative hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001. If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001. C If the null hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001. If the null hypothesis is true, the probability of observing a test statistic of 3.34 is 0.001. E If the null hypothesis…

Are the signs of the coefficients on the variables "Frequency of Flights" and "Destination is a Big City" corresponding to the utility of the "Air" mode meaningful?   Utility for Car Utility for Air   param.  t stat Param. t stat Constant 4.77 6.995 0 fixed Travel Time (mins) -0.03 -16.926 -0.03 -16.926 Travel Cost / Income ($/$) -726.35 -4.28 -726.35 -4.28 Frequency of Flights (per week) 0 fixed 0.12 13.414 Is Destination a Large City 0 fixed 1.5 5.576 Travel Party Size > =2^2 1.75 5.873 0 Fixed

Refer to Exercise 8.S.1. Compare the before and after populations using a t test at α = 0.05. Use a nondirectional alternative.

I need help with question 4 and 5 plz.