1 to 1, which is greater than -1.2
Approx 0.995
In a normal distribution, approximately 76.5% of the data falls between z-scores of -1.16 and +1.16. This is calculated using the cumulative distribution function for the standard normal distribution, which gives the area under the curve between these two z-scores. Thus, the area represents the proportion of the data within that range.
In a normal distribution, approximately 15.87% of the data falls beyond a z-score of -1.00 in the left tail. This is because a z-score of -1.00 corresponds to the 15.87th percentile of the distribution. Therefore, the proportion of the distribution located in the tail beyond z = -1.00 is about 15.87%.
In a normal distribution, approximately 76.4% of the data falls below a z score of 1.04. Therefore, the proportion of the distribution that corresponds to z scores greater than 1.04 is about 23.6%. This can be found using standard normal distribution tables or calculators.
In a normal distribution, approximately 86.64% of the data falls between z equals -1.50 and z equals +1.50. This is derived from the cumulative distribution function, which indicates that about 6.68% of the data lies below z = -1.50 and about 93.32% lies below z = +1.50. Therefore, the proportion of values between these two z-scores is 93.32% - 6.68% = 86.64%.
It is 0.017864
Pr(Z > 1.16) = 0.123
0% of a normal (of any) distribution falls between z 1.16 and z 1.16. 1.16 - 1.16 = 0.
Approx 0.995
In a normal distribution, approximately 76.5% of the data falls between z-scores of -1.16 and +1.16. This is calculated using the cumulative distribution function for the standard normal distribution, which gives the area under the curve between these two z-scores. Thus, the area represents the proportion of the data within that range.
In a normal distribution, approximately 15.87% of the data falls beyond a z-score of -1.00 in the left tail. This is because a z-score of -1.00 corresponds to the 15.87th percentile of the distribution. Therefore, the proportion of the distribution located in the tail beyond z = -1.00 is about 15.87%.
1.16/z = -1.16/z * * * * * No! Pr(Z > 1.16) = 0.123 So Pr(-1.16 < Z < 1.16) = 1 - 2*0.123 = 1 - 0.246 = 0.754
In a normal distribution, approximately 76.4% of the data falls below a z score of 1.04. Therefore, the proportion of the distribution that corresponds to z scores greater than 1.04 is about 23.6%. This can be found using standard normal distribution tables or calculators.
In a normal distribution, approximately 86.64% of the data falls between z equals -1.50 and z equals +1.50. This is derived from the cumulative distribution function, which indicates that about 6.68% of the data lies below z = -1.50 and about 93.32% lies below z = +1.50. Therefore, the proportion of values between these two z-scores is 93.32% - 6.68% = 86.64%.
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Prob(-0.5 < z < 0.5) = 0.3830
It is .121