# Solved > 91) Suppose Z has a standard normal distribution:1946410 …

91) Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z values are larger than ________ is 0.3483.

92) Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. The probability that Z values are larger than ________ is 0.6985.

93) Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. So, 27% of the possible Z values are smaller than ________.

94) Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. So, 85% of the possible Z values are smaller than ________.

95) Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. So, 96% of the possible Z values are between ________ and ________ (symmetrically distributed about the mean).

96) Suppose Z has a standard normal distribution with a mean of 0 and standard deviation of 1. So, 50% of the possible Z values are between ________ and ________ (symmetrically distributed about the mean).

97) The amount of time necessary for assembly line workers to complete a product is a normal variable with a mean of 15 minutes and a standard deviation of 2 minutes. The probability is ________ that a product is assembled in less than 12 minutes.

98) The amount of time necessary for assembly line workers to complete a product is a normal variable with a mean of 15 minutes and a standard deviation of 2 minutes. The probability is ________ that a product is assembled in between 14 and 16 minutes.

99) The amount of time necessary for assembly line workers to complete a product is a normal variable with a mean of 15 minutes and a standard deviation of 2 minutes. The probability is ________ that a product is assembled in between 10 and 12 minutes.

100) The amount of time necessary for assembly line workers to complete a product is a normal variable with a mean of 15 minutes and a standard deviation of 2 minutes. The probability is ________ that a pr

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