Given a standardized normal distribution (with a mean of 0 and a standard deviation of 1), complete parts (a) through (d).1Click here to view page 1 of the cumulative standardized normal distribution table.2Click here to view page 2 of the cumulative standardized normal distribution table. ANSWER A-D PLEASE 1. Given a standardized normal distribution (with a mean of 0 and a standard deviation of 1), completeparts (a) through (d).1 Click here to view page 1 of the cumulative standardized normal distribution table.Click here to view page 2 of the cumulative standardized normal distribution table.a. What is the probability that Z is less than 1.54?The probability that Z is less than 1.54 is(Round to four decimal places as needed.)b. What is the probability that Z is greater than 1.89?The probability that Z is greater than 1.89 is(Round to four decimal places as needed.)c. What is the probability that Z is between 1.54 and 1.89?The probability that Z is between 1.54 and 1.89 is(Round to four decimal places as needed.)d. What is the probability that Z is less than 1.54 or greater than 1.89?The probability that Z is less than 1.54 or greater than 1.89 is(Round to four decimal places as needed.)

Z-distribution is known as "standard normal distribution". The probability that Z is less than z is…

a. What is the probability that Z is less than 1.54? The probability that Z is less than 1.54 is (Round to four decimal places as needed.) b. What is the probability that Z is greater than 1.89? The probability that Z is greater than 1.89 is (Round to four decimal places as needed.) c. What is the probability that Z is between 1.54 and 1.89? The probability that Z is between 1.54 and 1.89 is (Round to four decimal places as needed.) d. What is the probability that Z is less than 1.54 or greater than 1.89?

a. What is the probability that Z is less than 1.54? The probability that Z is less than 1.54 is (Round to four decimal places as needed.) b. What is the probability that Z is greater than 1.89? The probability that Z is greater than 1.89 is (Round to four decimal places as needed.) c. What is the probability that Z is between 1.54 and 1.89? The probability that Z is between 1.54 and 1.89 is (Round to four decimal places as needed.) d. What is the probability that Z is less than 1.54 or greater than 1.89?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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Concept explainers

Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

Question

Given a standardized normal distribution (with a mean of 0 and a standard deviation of 1), complete parts (a) through (d).

Click here to view page 1 of the cumulative standardized normal distribution table.

Click here to view page 2 of the cumulative standardized normal distribution table.

ANSWER A-D PLEASE

1. Given a standardized normal distribution (with a mean of 0 and a standard deviation of 1), complete
parts (a) through (d).
1 Click here to view page 1 of the cumulative standardized normal distribution table.
Click here to view page 2 of the cumulative standardized normal distribution table.
a. What is the probability that Z is less than 1.54?
The probability that Z is less than 1.54 is
(Round to four decimal places as needed.)
b. What is the probability that Z is greater than 1.89?
The probability that Z is greater than 1.89 is
(Round to four decimal places as needed.)
c. What is the probability that Z is between 1.54 and 1.89?
The probability that Z is between 1.54 and 1.89 is
(Round to four decimal places as needed.)
d. What is the probability that Z is less than 1.54 or greater than 1.89?
The probability that Z is less than 1.54 or greater than 1.89 is
(Round to four decimal places as needed.)

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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