Use the table below to find the percentage of data items in a normal distribution that lie between z = 1.1 and z = 2.4.Z-score0.10.2 0.30.40.50.6 0.70.80.91.0Percentile 53.98 57.93 6179 65.54 69.15 72.57 75.80/78.81/81 59 84.131.7 18 1920Percentile 86.43 88.49 90.32 91.92|93.32 94.52/95.54 96.41/97 13 97.722.3 2.4 2.5 26 2.7 2.8 29 30Percentile 98.21 98.61 98.93 99.18 99.38 99.53 99.65/99.74 99.81/99.87Z-score1.11.2 1.3 1.4 151.6Z-Score2.1 2.2The percentage of data items in a normal distribution that lie between z = 1.1 and z = 2.4 isarySSSources(1,1)Moretions

Given that ; Z = 1.1 Z = 2.4 By using standard normal distribution. And also use the given table…

Answered: percentage of data items in a normal…

A First Course in Probability (10th Edition)

10th Edition

ISBN:9780134753119

Author:Sheldon Ross

Publisher:Sheldon Ross

Chapter1: Combinatorial Analysis

Section: Chapter Questions

Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...

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Final exam scores in this course have a Normal distribution with mean 86 and standard deviation 5. What proportion of scores are less than 76? (Select nearest answer if your exact answer is not provided below) Group of answer choices 0.01 0.025 0.05 0.075
Pulmonary Disease The data in the table below concern the mean triceps skin-fold thickness in a group of normal men and a group of men with chronic airflow limitation. Group Normal Mean 1.37 Chronic airflow limitation 0.99 sd n 0.51 40 0.47 32 You can use the Distribution Calculators page in SALT to find percentiles to answer parts of this question. (a) What is the standard error of the mean for the normal group? (Round your answer to four decimal places.) x 0.08380
Find the 75th percentile of the standard normal distribution. (Round to three decimal places)
e heights of people in a certain population are normally distributed with a mean of 68 inches and a standard deviation of 3.8 inches. Determine the sampling distribution of the mean for samples of size 43. Exactly normal. Mean = 68 inches. Standard deviation = 0.09 inches. Approximately normal. Mean = 68 inches. Standard deviation = 0.09 inches Exactly normal. Mean = 68 inches. Standard deviation = 0.58 inches. Exactly normal. Mean = 68 inches. Standard deviation = 3.8 inches.
Use the normal distribution of IQ scores, which has a mean of 105 and a standard deviation of 18, and the following table with the standard scores and percentiles for a normal distribution to find the indicated quantity. Standard Scores and Percentiles for a Normal Distribution (cumulative values from the left) Full data set Standard score % Standard score % −3.0 0.13 0.1 53.98 −2.5 0.62 0.5 69.15 −2 2.28 0.9 81.59 −1.5 6.68 1 84.13 −1 15.87 1.5 93.32 −0.9 18.41 2 97.72 −0.5 30.85 2.5 99.38 −0.1 46.02 3 99.87 0 50.00 3.5 99.98 Percentage of scores less than 60 is ___%?
Grades on the first exam in a statistics class was normally distributed with a mean of 84 and a standard deviation of 4. Your grade on this exam was a 78. What is your approximate percentile ranking on this exam? O 6.7% 1.5% 93.32% 98.5%
Approximately which z-score corresponds to the first quartile of a normal curve? O -0.67 0.7734 -2.81 O 2.81 O 0.67
In a normal distribution, find the proportion of the population within three fifths of a standard deviation of the mean.
Use the table below to find the percentage of data items in a normal distribution that lie between z= 1.2 and z-2.2. Z-Score 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1.0 Percentile 53.98 57.93 61.79 65.54 69.1572.57 75.80 78.81 81.59 84.13 1.4 1.5 Percentile 86.43 88.49 90.32 91.92 93.32 94.52 95.54 96.41 97.13 97.72 2.4 25 Percentile 98.21 98.61 98.93 99.18 99.38 99.53 99.65 99.74 99 8199 87 |11 1.2 1.3 1.8 1.9 20 Z-Score 1.6 1.7 Z-Score 2.1 2.2 2.3 2.6 2.7 2.8 2.9 3.0 The percentage of data items in a normal distribution that lie between z=12 and z 2.2 is %. (1,) More Enter your answer in the answer box and then click Check Answer All parts showing Clear All Check A re to search 67°F Clc
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Midterm exam scores are normally distributed with a mean of 75 and a standard deviation of 6. If the exam is given to 10,000 students, we would expect No one to receive a score of 87 No one to have received a score below 63 Half the scores to fall between 70 and 83 NO Half the scores to fall between 64 and 88 Just over one third of the scores to fall between 75 and 81
Calories consumed by members of a track team the day before a race are normally distributed, with a mean of 1,800 calories and a standard deviation of 100 calories. If a normal curve is sketched using these data, what is the range for 3 standard deviations to the right and to the left of the mean? Group of answer choices 0–3,600 1,700–1,900 1,600–2,000 1,500–2,100

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