Assume that the readings at freezing on a batch of thermometers are normally distributed with a mean of 0°C and a standard deviation of 1.00°C. A single thermometer is randomly selected and tested. If 4% of the thermometers are rejected because they have readings that are too high and another 4% are rejected because they have readings that are too low, find the two readings that are cutoff values separating the rejected thermometers from the others. Round answers to 3 decimal places. interval of acceptable thermometer readings     Assume that the readings at freezing on a bundle of thermometers are normally distributed with a mean of 0°C and a

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Assume that the readings at freezing on a batch of thermometers are normally distributed with a mean of 0°C and a standard deviation of 1.00°C. A single thermometer is randomly selected and tested.

If 4% of the thermometers are rejected because they have readings that are too high and another 4% are rejected because they have readings that are too low, find the two readings that are cutoff values separating the rejected thermometers from the others. Round answers to 3 decimal places.

interval of acceptable thermometer readings

 

 

Assume that the readings at freezing on a bundle of thermometers are normally distributed with a mean of 0°C and a standard deviation of 1.00°C. A single thermometer is randomly selected and tested. Find P5, the 5-percentile. This is the temperature reading separating the bottom 5% from the top 95%.

P5 = °C

 

Assume that the readings at freezing on a batch of thermometers are normally distributed with a mean of 0°C and a standard deviation of 1.00°C.

A single thermometer is randomly selected and tested. Let ZZ represent the reading of this thermometer at freezing. What reading separates the highest 21.07% from the rest? That is, if P(z>c)=0.2107, find c.

c=  °C

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