Question: table {mso-displayed-decimal-separator:.; mso-displayed-thousand-separator:,;} tr {mso-height-source:auto;} col {mso-width-source:auto;} td {padding-top:1px; padding-right:1px; padding-left:1px; mso-ignore:padding; color:black; font-size:11.0pt; font-weight:400; font-style:normal; text-decoration:none; font-family:Calibri, sans-serif; mso-font-charset:0; text-align:general; vertical-align:bottom; border:none; white-space:nowrap; mso-rotate:0;}
table {mso-displayed-decimal-separator:"\."; mso-displayed-thousand-separator:"\,";} tr {mso-height-source:auto;} col {mso-width-source:auto;} td {padding-top:1px; padding-right:1px; padding-left:1px; mso-ignore:padding; color:black; font-size:11.0pt; font-weight:400; font-style:normal; text-decoration:none; font-family:Calibri, sans-serif; mso-font-charset:0; text-align:general; vertical-align:bottom; border:none; white-space:nowrap; mso-rotate:0;}
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A bank has a policy that the proportion of loans made to people with more than $50,000 in debt should not be more than 0.15. The bank checks a randomly chosen sample of 75 customer's debt amounts to determine if the proportion is more than 0.15 at a significance level of 0.05.
Since the p-value is less or greater than the significance level 0.05, the null hypothesis is rejected or failed to reject?
Sufficient or insufficient evidence exists that the proportion of loans to people with more than $50,000 in debt is more than 0.15.
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