A G H 1 2 B P R S An analyst at a local bank wonders if the age distribution of customers coming for service at his branch in town is the same as at a branch located near the mall. He selects 100 transactions at random from each branch and researches the age information for the associated customer. These are the data : M N T U V W X Y 3 4 5 Age 6 less than 30 30-55 56 or older Total 7 In town 155 8 100 9 Total 70 255 10 11 1 ETITI What is the null hypothesis if you want to check if the age patterns of customers are independent of bank location? Go to: https://www.socscistatistics.com/tests/chisquare2/default2.aspx or any other Chi-square calculator online Chi-Square Test Calculator This is a easy chi-square calculator for a contingency table that has up to five rows and five columns (for alternative chi-square calculators, see the column to your right). The calculation takes three steps, allowing you to see how the chi-square statistic is calculated. Good, you're having another go! Please enter group and category names. Less than 30 30-55 Group and Category Names 56 or Older In town Ho: The age of distribution of customers coming for service in town is the same as that located at the branch located near Mall 12 13 2 What are the expected numbers for each cell in a 3 by 3 table if the null hypothesis is true? 14 Age 15 less than 30 30-55 56 or older Total 16 In town 45.59 66.86 42.55 17 mall 29.41 43.14 27.45 18 Total 75 110 70 155 100 255 Use the numbers in Parentheses from the website output 19 20 3 Use the chi square test to accept or reject the null hypothesis. What is the chi square test statistic? Please enter group and category names, above, then press Next. Next Chi-Square Calculator The next stage is to fill in your data. Remember, the data is categorical - the number of subjects observed for each call