Response rates to web surveys are typically low, partially due to users starting but not finishing the survey. The factors that influence response rates were investigated. A survey company designed a study to verify this information. Web users were directed to participate in one of several surveys with different formats. One format utilized a welcome screen with a white background and the other one with a blue background. Data of the survey are given in OnlineHW.xlsx. Use three digits whenever necessary.
The hypothesis being tested is:
H0: p = 0.25
Ha: p < 0.25
Reject Ho if p-value < 0.05.
p̂ = 37/(141 + 146 + 49 + 37) = 0.10
The test statistic, z = (p̂ - p)/√p(1-p)/n
z = (0.10 - 0.25)/√0.25(1-0.25)/373 = -6.73
The p-value is 0.0000.
Since the p-value (0.0000) is less than the significance level (0.07), we can reject the null hypothesis.
Therefore, we can conclude that a welcome screen with a blue background is used the rate of break off will be less than 0.25.
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