A chi-square test for goodness of fit is used to examine the distribution of individuals across five categories, and a chi-square test for independence is used to examine the distribution of individuals across six categories in a 2 X 4 matrix of categories. Which test has the larger value for df?​ Select one: a. ​ The test for independence has the larger value. b. ​ The goodness of fit has the larger value. c. ​ The df value depends on the sizes of the samples that are used. d. ​ Both tests have the same df value.

The average worker at a local brake manufacturer produces 10 brakes per day (other statistical information was not known).  An industrial psychologist was hired to increase worker productivity and a new assembly method was designed and tested in a sample of workers. Identify the appropriate test.   Select one: a. independent samples t test b. z test c. single sample t test d. paired samples t test

Number of Flights Arriving on Time               Number of Flights Arriving Late Sunshine Airline                              33                                                          5 Comfort Airlines                              43                                                           6   The table above contains data from a study of two airlines - Sunshine Airlines & Comfort Airlines - which fly from BWI to Shore City, FL. If one flight is selected, find P (on time and Comfort Airlines).

Pain medications sometimes come with side effects.  One side effect is dizziness.  A researcher wanted to determine if some pain medications produced more or less dizziness than others.  The results from his study are shown in the table below. Use a test to determine if the proportion of people within each treatment group  who experienced dizziness are the same at the α= .01 level of significance.   Tordol Placebo Naproxen Tylenol Advil Dizziness 83 32 36 5 8 No dizziness 4063 1832 1330 382 337 1) Determine the null and alternative hypotheses. Select the correct pair.   Ho: The proportion of people within each treatment group  who experienced dizziness are the sameHa: The proportion of people within each treatment group  who experienced dizziness are different Ho:The proportion of people within each treatment group  who experienced dizziness are independentHa:The proportion of people within each treatment group  who experienced dizziness are dependent   2) Determine the…

Using the data below: How do I create a Univarte Analysis?

Dataset: NES. Variables: spend8, nesw.) The NES dataset contains spend8, which records the number of government policy areas where respondents think spending should be increased. Scores range from 0 (the respondent does not want to increase spending on any of the policies) to 8 (the respondent wants to increase spending on all eight policies). The NES, of course, polls a random sample of U.S. adults. In this exercise you will analyze spend8 using the Analyze ▶ Compare Means ▶ One-Sample T Test procedure. You then will draw inferences about the population mean. Make sure you weight observations using the nesw variable so your results are nationally representative.   A. The spend8 variable has a sample mean of ______.

Public relation companies conducted two surveys about deodorants.  The first survey asked a random sample of 500 men about their use of a natural deodorant.  A second survey asked the same questions to a random sample of 550  women.  In these two studies, 68% of men  and 44% of  women stated they were dissatisfied with the effectiveness of natural deodorants.  Use these results to answer the following questions about the proportion of men and women's satisfaction with natural deoderants.  (Round to the nearest whole person as needed). For the men, the number of success within the sample is .  For the U.S. teens, the number of failures within the sample is .  For the women, the number of success within the sample is .  for the Canadian teens, the number of failures within the sample is .

A father is concerned that his teenage son is watching too much television each day, since his son watches an average of 2 hours per day His son says that his TV habits are no different than those of his friends. Since this father has taken a stats class, he knows that can actually test to see whether or not his son is watching more TV than his peers The father collects a random sample of watching times from boys at his son's high school and gets the following data: 1.9, 2.3, 2.2, 1.9, 1.6, 2.6, 1.4, 2.0, 2.0, 2.2 Find a 95% confidence interval for the true mean number of hours teenagers at that school watch TV. a. Confidence Interval b. Conclusion

James Trucking is studying the relationship between the distance a shipment must travel and the length of time, in days, it takes the shipment to arrive at its destination. To investigate, Mr. James, the manager of the company selected a random sample of 20 shipments made last month. Shipping distance is the independent variable, and shipping time is the dependent variable. The results are as follows:    Shipment Distance (miles) Shipping Time (days) 1 656 5 2 853 14 3 646 6 4 783 11 5 610 8 6 841 10 7 785 9 8 639 9 9 762 10 10 762 9 11 862 7 12 679 5 13 835 13 14 607 3 15 665 8 16 647 7 17 685 10 18 720 8 19 652 6 20 828 10 Is the relationship between shipping distance and shipping time significant, if the level of significance is 5%? What is the standard error? The standard error is  ; The relationship between…

PETROGAS is testing new filters for its motorbikes. One brand of filter (Filter A) is placed in one motorbike, and the other brand (Filter B) is placed in the second motorbike. Random samples of air released from the motorbikes are taken at different times throughout the day. Pollutant concentrations are measured for both motorbikes at the same time. The following data attached represent the pollutant concentrations (in parts per million) for samples taken at 20 different times after passing through the filters. a. Test the hypothesis that the mean for the pollutant concentration for Filter B is greater than 30. Use the 1% level of significance. b. Construct a 95% confidence interval for the difference in mean pollutant concentration, where a difference is equal to the pollutant concentration passing through Filter A minus the passing through Filter B. c. Using the 5% significance level, determine whether there is evidence that mean for the pollutant concentration for Filter A…