Warming and Ice Melt The average depth of the Hudson Bay is 305 feet. Climatologists were interested in seeing if the effects of warming and ice melt were affecting the water level. Fifty-five measurements over a period of weeks yielded a sample mean of 306.2 feet. The population variance is known to be 3.57. Can it be concluded at the 0.05 level of significance that the average depth has increased? Is there evidence of what caused this to happen? Source: World Almanac and Book of Facts 2010.
Read moreTable of Contents
1
The Nature of Probability and Statistics
2
Frequency Distributions and Graphs
2-1
Organizing Data
2-2
Histograms, Frequency Polygons, and Ogives
2-3
Other Types of Graphs
3
Data Description
3-1
Measures of Central Tendency
3-2
Measures of Variation
3-3
Measures of Position
3-4
Exploratory Data Analysis
4
Probability and Counting Rules
4-1
Sample Spaces and Probability
4-2
The Addition Rules for Probability
4-3
The Multiplication Rules and Conditional Probability
4-4
Counting Rules
4-5
Probability and Counting Rules
5
Review Execises
5-1
Probability Distributions
5-2
Mean, Variance, Standard Deviation, and Expectation
5-3
The Binomial Distribution
5-4
Other Types of Distributions (Optional)
6
Review Execises
6-1
Normal Distributions
6-2
Applications of the Normal Distribution
6-3
The Central Limit Theorem
6-4
The Normal Approximation to the Binomial Distribution
7
Review Execises
7-1
Confidence Intervals for the Mean When s Is Known
7-2
Confidence Intervals for the Mean When s Is Unknown
7-3
Confidence Intervals and Sample Size for Proportions
7-4
Confidence Intervals for Variances and Standard Deviations
8
Review Execises
8-1
Steps in Hypothesis TestingTraditional Method
8-2
z Test for a Mean
8-3
t Test for a Mean
8-4
z Test for a Proportion
8-5
x2 Test for a Variance or Standard Deviation
8-6
Additional Topics Regarding Hypothesis Testing
9
Review Execises
9-1
Testing the Difference Between Two Means: Using the z Test
9-2
Testing the Difference Between Two Means of Independent Samples: Using the t Test
9-3
Testing the Difference Between Two Means: Dependent Samples
9-4
Testing the Difference Between Proportions
9-5
Testing the Difference Between Two Variances
10
Review Execises
10-1
Scatter Plots and Correlation
10-2
Regression
10-3
Coefficient of Determination and Standard Error of the Estimate
10-4
Multiple Regression (Optional
11
Review Execises
11-1
Test for Goodness of Fit
11-2
Tests Using Contingency Tables
12
Review Execises
12-1
One-Way Analysis of Variance
12-2
The Scheff Test and the Tukey Test
12-3
Two-Way Analysis of Variance
13
Review Execises
13-1
Advantages and Disadvantages of Nonparametric Methods
13-2
The Sign Test
13-3
The Wilcoxon Rank Sum Test
13-4
The Wilcoxon Signed-Rank Test
13-5
The Kruskal-Wallis Test
13-6
The Spearman Rank Correlation Coefficient and the Runs Test
14
Review Execises
14-1
Common Sampling Techniques
14-2
Surveys and Questionnaire Design
14-3
Simulation Techniques and the Monte Carlo Method
Textbook Solutions for Elementary Statistics: A Step by Step Approach 8th ed.
Chapter 8-2 Problem 1
Question
Warming and Ice Melt The average depth of the Hudson Bay is 305 feet. Climatologists were interested in seeing if the effects of warming and ice melt were affecting the water level. Fifty-five measurements over a period of weeks yielded a sample mean of 306.2 feet. The population variance is known to be 3.57. Can it be concluded at the 0.05 level of significance that the average depth has increased? Is there evidence of what caused this to happen? Source: World Almanac and Book of Facts 2010.
Solution
Step 1 of 4
Null hypothesis:
the claim is not valid , the average depth is not increased
And
Alternative hypothesis:
Claim is valid , Average depth is increased
level of significance.
at level of significance
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full solution
full solution
Title
Elementary Statistics: A Step by Step Approach 8th ed. 8
Author
Allan G Bluman Professor Emeritus
ISBN
9780073386102