Does co-browsing have positive effects on the customer experience? Co-browsing refers to the ability to have a contact center agent and customer jointly navigate an online document or mobile application on a real-time basis through the web. A study of businesses indicates that 87 of 140 co-browsing organizations use skills-based routing to match the caller with the right agent, whereas 98 of 182 non-co-browsing organizations use skills-based routing to match the caller with the right agent. Complete parts (a) and (b) below. a. At the 0.1 level of significance, is there evidence of a difference between co-browsing organizations and non-co-browsing organizations in the proportion that use skills-based routing to match the caller with the right agent? State the null and alternative hypotheses, where t, is the population proportion of co-browsing organizations that use skills-based routing and n2 is the population proportion of non-co-browsing organizations that use skills-based routing. O A. Ho: 11 # n2 H1: 11 72 OF. Ho: 1 = A2 O E. Ho: 1 # R2 H1: 11 > 12 Determine the value of the test statistic. ZSTAT = 1.49 (Type an integer or a decimal. Round to two decimal places as needed.) Determine the critical value(s) for this test of hypothesis. The critical value(s) is (are) - 1.64,1.64 . (Type integers or decimals. Round to two decimal places as needed. Use a comma to separate answers as needed.) State the conclusion. Do not reject the null hypothesis. There is insufficient evidence to support the claim that there is a difference between co-browsing organizations and non-co-browsing organizations in the proportion that use skills-based routing to match the caller with the right agent. b. Find the p-value in (a) and interpret its meaning. The probability of getting a test statistic V the sample result, given that Ho is true, is approximately (Type an integer or a decimal. Round to equal to or more extreme than equal to or less extreme than equal to

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Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.