Explanation Approach: Assume a normal distribution has a mean of μ and a standard deviation of σ . We use the equation z = x − μ σ to convert a value x in the nonstandard distribution to a z -score. Given Information: The mean is 3.6, standard deviation is 1.2 and z = − 1 .3 . Calculation: Substitute μ = 3.6 , σ = 1.2 and z = − 1.3 in z = x − μ σ

6th Edition

ISBN: 9780134462356

Author: Pirnot

Publisher: PEARSON

See similar textbooks

Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as p…

Videos

Question

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.

Chapter 14.4, Problem 60E

To determine

To find:

The corresponding raw score if mean is 3.6, standard deviation is 1.2 and z=−1.3.

Expert Solution & Answer

Want to see the full answer?

Check out a sample textbook solution

See solution

Chapter 14.4, Problem 59E

Chapter 14.4, Problem 61E

Students have asked these similar questions

T3.2: Prove that if the Graceful Tree Conjecture (every tree has a graceful labeling) is true and T' is a tree with m edges, then K2, decomposes into 2m - 1 copies of T. Hint - Delete a leaf to get 7" and apply the decomposition of K2(m-1)+1 = K2m-1 into T'. Then explain how the decomposition allows the pendant edge to be added to a new vertex to obtain a decomposition of K2m into copies of T.

Use the matrix tree theorem to determine the number of spanning trees of the graphs Kr∨sK1.These are the graphs formed by by adding all edges between a complete graph on r vertices and atrivial graph (no edges) on s vertices.

The maximum capacity spanning tree problem is as follows for a given graph G = (V, E) withcapacities c(uv) on the edges. The capacity of a tree T is defined as the minimum capacity of anedge in T. The maximum capacity spanning tree problem is to determine the maximum capacity ofa spanning tree.(i) Describe how to modify the input graph to find a maximum weight spanning tree making use ofa minimum weight spanning tree algorithm.(ii) Show that a maximum (weight) spanning tree is also a maximum capacity spanning tree.(iii) Is the converse of part (ii) true? That is, is it true that a maximum capacity spanning tree is alsoa maximum spanning tree? Either give counterexamples (of all sizes) or a proof.(iv) Prove the following max-min result. The maximum capacity of a spanning tree is equal to theminimum bottleneck value of a cut. For a subset U ⊆ V , the cut [U, V − U] is the set of edgesbetween U and V − U. The bottleneck value of a cut [U, V − U] is the largest capacity among theedges of…

Chapter 14 Solutions

Mathematics All Around-Workbook

Knowledge Booster

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, subject and related others by exploring similar questions and additional content below.

The corresponding raw score if mean is 3.6, standard deviation is 1.2 and z = − 1 .3 .

Solution Summary: The author explains how the equation z=x-musigma converts a value x in the nonstandard distribution to the corresponding raw score.

Concept explainers

Videos

To find:

The corresponding raw score if mean is 3.6, standard deviation is 1.2 and z=−1.3.

Want to see the full answer?

Chapter 14 Solutions

The corresponding raw score if mean is 3.6, standard deviation is 1.2 and z = − 1 .3 .

Solution Summary: The author explains how the equation z=x-musigma converts a value x in the nonstandard distribution to the corresponding raw score.

Concept explainers

Videos

To find: The corresponding raw score if mean is 3.6, standard deviation is 1.2 and z=−1.3.

Want to see the full answer?

Chapter 14 Solutions

To find:

The corresponding raw score if mean is 3.6, standard deviation is 1.2 and z=−1.3.