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    Chi-Squared Test

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    How to use SPSS to calculate a chi-square

    State the statistical assumptions for this test. Using the data set you have selected, choose independent and dependent variables. Develop the null hypothesis and the alternative hypothesis. Use SPSS to calculate a chi-square. Decide whether to reject or retain the null hypothesis. Generate syntax and output files

    Chi-Square Test - Managers Dilemma of Buying Smartphones

    A Managers Dilemma of Buying Smartphones The procurement manager of a large company was assigned with buying new smartphones for 500 employees. The manager sent out requests for proposals to three companies: AT&B, Horizon and E-Mobile. All three companies responded and the manager saw that he could get the best deal from Hori

    Statisitcs

    5. A car manufacturer has four plants, say Plants A,B,C and D. The CEO would like to know if worker ratings differ among the four plants. You (VP of HR) must decide if the workers rating differ proportionately among the plants. You randomly select 239 worker ratings from the four plants. The table below shows the number of wo

    Chi square Test: Degree of Cerainty & Credits Earned

    Exercise 15.18 Sixty-four students in an introductory college economics class were asked how many credits they had earned in college and how certain they were about their choice of major. Research Question: At a = .01, is the degree of certainty independent of credits earned?

    Chi-Square Test of Goodness of fit and Association....

    For the three problems: A) State the hypotheses and identify the claim B) Find the critical value(s) C) Compute the test value D) Make the decision E) Summarize the results Please us the traditional method of hypothesis testing. 1: A researcher reads that the marital status of U.S. adults is distributed as follow

    Population Variance Problem and Confidence Interval

    The table below gives the carapace lengths of ten mature Thenus orientalis lobsters caught in the sea in the vicinity of Singapore. Suppose you wish to describe the variability of the carapace lengths of this population of lobsters. Find a 99% confidence interval for the population variance Ï?^2. Carapace Length (mm) 78

    M&M Color Hypothesis Test

    M&Ms has more recently updated its color distribution pattern to Red: 13%, Yellow: 14%, Green: 16%, Orange 20%, Blue: 24%, Brown: 13%. ------------------------------------------ Perform hypothesis tests (at a 5% level of significance) to determine: 1. Are the class total proportions representative of the current (upda

    Testing if the Number of Resignations is Uniform

    The personnel department of a large corporation reported 60 resignations during last year. The following table groups these resignations according to the season in which they occurred. Winter=10 Spring=22 Summer=19 Fall=9 Test to see if the number of resignations is uniform over the 4 seasons. Alpha=0.05

    Hypothesis Testing for Social Class vs. Newspaper

    See attached data file. Excel (Hypothesis Testing 2) In a survey for its advertisers, a newspaper chain randomly sampled 100 readers of each of its 3 major newspapers, with the results in the attached Excel file. Social Class Newspaper 1 Newspaper 2 Newspaper 3 Poor 31 11 12 Lower Middle Class 49 59 51 Middle Class 1

    Chi test calculation

    I am having a problem calculating a pearson Chi-test for variables-high school dropouts and social problems. I need help with the calculating a SPSS Pearson Chi Square test using variables SOCPROB and DROPOUT. I need to understand what the calculations mean. I am new at this (statistics), and I am an older person (55) trying to

    Hypothesis Test of gender differences

    II. In a sample of 664 patients who received this training, suppose that 47 showed reduced allergic reactions and 17 showed increased allergic reactions. Are these results sufficient to conclude that the self hypothesis has a significant effect. Assume that increasing and decreasing allergic reactions are equally likely if the

    Statistics: Chi Square Goodness of Fit Test

    In a chi-square goodness-of-fit test when there is close agreement between the observed frequency and the expected frequency, the chi-square test value will be small. TRUE (OR) FALSE And please explain why it's true or false so i can understand. =)

    Statistics: Work status and interest in economic conditions

    See attached file for problem. Dependent Variable - Interested in economic issues and Business conditions. Independent Variable - Last week were you working full time... Control Variable -Respondents age We can use analysis as a method to show relationships between different variables. The desired results will be th

    Statistics study of relationship between jogging and blood pressure

    1. A study is being conducted to determine whether there is a relationship between jogging and blood pressure. A random sample of 210 subjects is selected, and they are classified as shown in the following table. At ± = 0.05, test the claim that jogging and blood pressure are not related. (apply chi-square independent test)

    Chi Square Hypothesis Test of Independence

    As the price of oil rises, there is increased worldwide interest in alternate sources of energy. A Financial Times/Harris Poll surveyed people in six countries to assess attitudes toward a variety of alternate forms of energy (Harris Interactive website, February 27, 2008). The data in the following table are a portion of the po

    Description of a Goodness of Fit Test

    Scenario: Banner Mattress and Furniture Company wishes to study the number of credit applications received per day for the last 300 days. The information is reported as follows: Number of credit applications Frequency (Number of days) 0 50 1

    Statistics: Test frequency of employee absences during the week.

    A human resource manager is interested in whether absences occur during the week with equal frequency. The manager took a random sample of 100 absences and created the following table: Monday 28 Tuesday 20 Wednesday 12 Thursday 18 Friday 22 At a significance level of alpha = .05

    Statistics: Comparison of type of college freshmen attend

    Please solve the exercise below: At a recent meeting of educational researchers comparison were made between the type of college freshmen attend and the numbers who drop out. A random sample of freshmen show the following results: (keep two decimals in calculating expected frequencies) 4Yr public 4Yr pr

    Chi square test and Confidence interval

    Please choose the correct answer and write briefly why: When we carry out a chi-square test of independence, as the difference between the respective observed and expected frequencies decrease, the probability of concluding that the row variable is independent of the column variable: a. Decreases b. Increases c.

    Exercise 5: Perform a goodness of fit test

    Please solve the exercise below in Excel and show your work (and formulas) 5. In the past, of all the students enrolled in "Basic Business Statistics" 10% earned A's 20% earned B's, 30% earned C's, 20% earned D's and the rest either failed or withdrew from the course. Dr Johnson is a new professor teaching "Basic Business S

    Exercise 4: Contingency table

    See attached file for table. Please solve the exercise below in Excel and show your work (and formulas) 4. Consider the 3X2 contingency table below Factor B Factor A B1 B2 A1 16 14 A2 15 25 A3 9 21 At a significance level of 0.10, test H0: the factors A and B are independent

    Statistics: Expected number of conforming units; Chi square test

    Please select the correct answer and show briefly how you arrived at your solution: 9. A manufacturing company produces part 2205 for the aerospace industry. This particular part can be manufactured using 3 different production processes. The management wants to know if the quality of the units of part 2205 is the same for al

    Chi Square Test

    Listed below are birth weights (in kilograms) of male babies born to mothers on a special vitamin supplement (based on data from the New York State Department of Health). Test the claim that this sample comes from a population with a standard deviation equal to 0.470 kg, which is the standard deviation for male birth weights in