Rep Dem Ind total 20's 42 67 19 30's 48 59 24 40's 45 45 20...

	Rep	Dem	Ind	total
20's	42	67	19
30's	48	59	24
40's	45	45	20
50's	52	50	18
60's+	65	49	18
total

Above is a table listing a samples voting demographic by age. is there evidence of a relationship between any of the variables?

	i cant tell
	yes
	no

Solutions

Expert Solution

We have used Chi Square test of independence to test the hypothesis. We have used calculator available online to perform the test:

Following is the result obtained using test:

In this case, as the p-value (0.2408) is greater than 0.05 significance level, the relationship is not significant.

Interpretation:

A chi-square test of independence showed that there was no significant association between age and voting preference, X2 (2, N = 621) = 10.3585 p = .

Correct Answer: No

orchestra answered 1 year ago

Next > < Previous

Related Solutions

Consider the following two variables: x y 45 10 23 30 17 48 19 45 41...

Consider the following two variables: x y 45 10 23 30 17 48 19 45 41 34 13 27 39 26 37 31 24 38 12 44 What is the correlation between these two variables? Use Pearson's r, and take your answer to two decimal places. To what two-tailed critical value of Pearson's r would you compare this? Use the provided tables, assume alpha, = 0.05, and express your answer as an absolute value. Round to two decimal places. If...

For the following Grouped Frequency Distribution below : class 7-12 13-18 19-24 25-30 31-36 37-42 43-48...

For the following Grouped Frequency Distribution below : class 7-12 13-18 19-24 25-30 31-36 37-42 43-48 f 5 6 2 4 1 3 7 1) Find ( Mean , Mode , Standard Deviation , Variance ) 2) Sketch : Histogram , Polygon , and an Ogive

Group A Group B Subject 1 40 30 Subject 2 42 45 Subject 3 30 38...

Group A Group B Subject 1 40 30 Subject 2 42 45 Subject 3 30 38 Subject 4 37 32 Subject 5 23 28 A small hypothetical study explored the response to two treatments where each subject in the study received both treatments (e.g. in a cross-over design). The data are given below 1) Analyze the information using a paired t-test (e.g. with GraphPad) a) What is the observed value of the test statistic from this test? b) What can...

13 25 40 20 28 48 19 14 Complete the following: a) Use the bubble sort...

13 25 40 20 28 48 19 14 Complete the following: a) Use the bubble sort (page 214) to sort the values showing the order of the values in the list after every pass of the sorting algorithm. b) What is the time complexity of the sort (use the number of comparisons required as a measure of time.) c) Modify the algorithm so it stops if there are no swaps in a complete pass. How many comparisons would be needed...

The actual values for 12 periods (shown in order) are: (1) 45 (2) 52 (3) 48 (4) 59 (5) 55 (6) 54 (7) 64 (8) 59 (9) 72 (10) 66 (11) 67 (12) 78

Question 1 contains the actual values for 12 periods (listed in order, 1-12). In Excel, create forecasts for periods 6-13 using each of the following methods: 5 period simple moving average; 4 period weighted moving average (0.63, 0.26, 0.08, 0.03); exponential smoothing (alpha = 0.23 and the forecast for period 5 = 53); linear regression with the equation based on all 12 periods; and quadratic regression with the equation based on all 12 periods. Round all numerical answers to two...

Given the following data set 11 20 33 45 52 30 27 21 38 42 28...

Given the following data set 11 20 33 45 52 30 27 21 38 42 28 25 79 60 14 35 100 23 88 58 A. Find the quartiles B. Determine if there are any outliers C. Draw a box plot (exclude outliers but plot them as well).

22 17 19 10 30 10.5 31 11 32 15 45 6 48 11 49 5.2...

22 17 19 10 30 10.5 31 11 32 15 45 6 48 11 49 5.2 68 3 65 4.2 a) Create a scatterplot of this data and comment on the relationship between the variables b) Calculate the correlation coefficient between these two variables c) Does a linear relationship exist? d) Calculate the least squares regression equation e) Using your equation, predict how long we would expect a 43 year old new hire to remain with the company

use the following contingency table a b c total 1 15 30 45 90 2 40...

use the following contingency table a b c total 1 15 30 45 90 2 40 45 50 135 total 55 75 95 225 a. compute the expected frequency for each cell b. compute x^2stat. is it significant at a=0.01

Consider the x, y data: x-data (explanatory variables): 10, 15, 20, 25, 30, 35, 40, 45,...

Consider the x, y data: x-data (explanatory variables): 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100 y-data (response variables): 1359.9265, 1353.3046, 220.7435, 964.6208, 1861.9920, 1195.3707, 1702.0145, 2002.0900, 1129.1860, 1864.5241, 1444.2239, 2342.5453, 2410.9056, 2766.2245, 2135.2241, 3113.7662, 4311.7260, 3313.1042, 4072.0945 Compute a best fit line to the data. Report: a. The slope coefficient, β1: b. The intercept coefficient, β0: c. The standard error of the residuals σε: d. The Adjusted...

Consider the x, y data: x-data (explanatory variables): 10, 15, 20, 25, 30, 35, 40, 45,...

Consider the x, y data: x-data (explanatory variables): 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60, 65, 70, 75, 80, 85, 90, 95, 100 y-data (response variables): 1359.9265, 1353.3046, 220.7435, 964.6208, 1861.9920, 1195.3707, 1702.0145, 2002.0900, 1129.1860, 1864.5241, 1444.2239, 2342.5453, 2410.9056, 2766.2245, 2135.2241, 3113.7662, 4311.7260, 3313.1042, 4072.0945 Compute a best fit line to the data. Report: a. The slope coefficient, β1: ___ b. The intercept coefficient, β0: ___ c. The standard error of the residuals σε: ___ d....

Subjects