You want to estimate the percentage of adults who believe that passwords should be replaced with biometric security (such as fingerprints). How many randomly selected adults must you survey? Assume that you want to be 99% confident that the sample percentage is within 2.5 percentage points of the true population percentage. Complete parts (a) through (c) below. a. Assume that nothing is known about the percentage of adults who believe that passwords should be replaced with biometric security. The sample size needed is ___ b. Assume that a prior survey suggests that about 47% of adults believe that biometric security should replace passwords. The sample size needed is ___ c. Does the additional survey information from part (b) have much of an effect on the sample size that is required? The additional survey information from part (b) causes the required sample size to change by (less than/more than/less than) 10%. Based on this, the additional survey information causes (no significant change/a significant decrease/no significant change) a significant increase in the sample size that is required.
You want to estimate the percentage of adults who believe that passwords should be replaced with biometric security (such as fingerprints). How many randomly selected adults must you survey? Assume that you want to be 99% confident that the sample percentage is within 2.5 percentage points of the true population percentage. Complete parts (a) through (c) below.
a. Assume that nothing is known about the percentage of adults who believe that passwords should be replaced with biometric security.
The
b. Assume that a prior survey suggests that about 47% of adults believe that biometric security should replace passwords.
The sample size needed is ___
c. Does the additional survey information from part (b) have much of an effect on the sample size that is required?
The additional survey information from part (b) causes the required sample size to change by (less than/more than/less than) 10%. Based on this, the additional survey information causes (no significant change/a significant decrease/no significant change) a significant increase in the sample size that is required.
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