Elementary Statistics Using Excel Plus NEW MyLab Statistics with Pearson eText -- Title-Specific Access Card Package (6th Edition)
6th Edition
ISBN: 9780134763781
Author: Mario F. Triola
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Question
Chapter 8.1, Problem 9BSC
To determine
Test whether the proportion of adults who erase their personal information online is greater than 0.5.
Check whether the results are significantly low or significantly high.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Given the following sample data values:
7, 12, 15, 9, 15, 13, 12, 10, 18,12
Find the following:
a) Σ
x=
b) x² =
c) x =
n
d) Median
=
e) Midrange
x
=
(Enter a whole number)
(Enter a whole number)
(use one decimal place accuracy)
(use one decimal place accuracy)
(use one decimal place accuracy)
f) the range=
g) the variance, s²
(Enter a whole number)
f) Standard Deviation, s =
(use one decimal place accuracy)
Use the formula s²
·Σx² -(x)²
n(n-1)
nΣ x²-(x)²
2
Use the formula s =
n(n-1)
(use one decimal place accuracy)
Table of hours of television watched per week:
11
15 24
34
36
22
20
30
12
32
24
36
42
36
42
26
37
39
48
35
26
29
27
81276
40
54
47
KARKE
31
35
42
75
35
46
36
42
65
28
54 65
28
23
28
23669
34
43 35 36
16
19
19
28212
Using the data above, construct a frequency table according the following
classes:
Number of Hours Frequency Relative Frequency
10-19
20-29
|30-39
40-49
50-59
60-69
70-79
80-89
From the frequency table above, find
a) the lower class limits
b) the upper class limits
c) the class width
d) the class boundaries
Statistics 300
Frequency Tables and Pictures of Data, page 2
Using your frequency table, construct a frequency and a relative frequency
histogram labeling both axes.
Table of hours of television watched per week:
11
15 24
34
36
22
20
30
12
32
24
36
42
36
42
26
37
39
48
35
26
29
27
81276
40
54
47
KARKE
31
35
42
75
35
46
36
42
65
28
54 65
28
23
28
23669
34
43 35 36
16
19
19
28212
Using the data above, construct a frequency table according the following
classes:
Number of Hours Frequency Relative Frequency
10-19
20-29
|30-39
40-49
50-59
60-69
70-79
80-89
From the frequency table above, find
a) the lower class limits
b) the upper class limits
c) the class width
d) the class boundaries
Statistics 300
Frequency Tables and Pictures of Data, page 2
Using your frequency table, construct a frequency and a relative frequency
histogram labeling both axes.
Chapter 8 Solutions
Elementary Statistics Using Excel Plus NEW MyLab Statistics with Pearson eText -- Title-Specific Access Card Package (6th Edition)
Ch. 8.1 - 1. Vitamin C and Aspirin A bottle contains a label...Ch. 8.1 - 2. Estimates and Hypothesis Tests Data Set 3 “Body...Ch. 8.1 - 3. Mean Height of Men A formal hypothesis test is...Ch. 8.1 - 4. Interpreting P-value The Ericsson method is one...Ch. 8.1 - Identifying H0 and H1. In Exercises 5–8, do the...Ch. 8.1 - Identifying H0 and H1. In Exercises 5–8, do the...Ch. 8.1 - Prob. 7BSCCh. 8.1 - Identifying H0 and H1. In Exercises 5–8, do the...Ch. 8.1 - Prob. 9BSCCh. 8.1 - Conclusions. In Exercises 9 – 12, refer to the...
Ch. 8.1 - Prob. 11BSCCh. 8.1 - Conclusions. In Exercises 9 – 12, refer to the...Ch. 8.1 - Prob. 13BSCCh. 8.1 - Prob. 14BSCCh. 8.1 - Prob. 15BSCCh. 8.1 - Prob. 16BSCCh. 8.1 - Prob. 17BSCCh. 8.1 - P -Values. In Exercises 17 ‒ 20, do the...Ch. 8.1 - P -Values. In Exercises 17 ‒ 20, do the...Ch. 8.1 - Prob. 20BSCCh. 8.1 - Prob. 21BSCCh. 8.1 - Prob. 22BSCCh. 8.1 - Prob. 23BSCCh. 8.1 - Prob. 24BSCCh. 8.1 - Prob. 25BSCCh. 8.1 - Prob. 26BSCCh. 8.1 - Prob. 27BSCCh. 8.1 - Final Conclusions. In Exercises 25–28, use a...Ch. 8.1 - Prob. 29BSCCh. 8.1 - Prob. 30BSCCh. 8.1 - Prob. 31BSCCh. 8.1 - Prob. 32BSCCh. 8.1 - Prob. 33BBCh. 8.1 - Prob. 34BBCh. 8.1 - Prob. 35BBCh. 8.2 - In Exercises 1–4, use these results from a USA...Ch. 8.2 - Prob. 2BSCCh. 8.2 - Prob. 3BSCCh. 8.2 - Prob. 4BSCCh. 8.2 - Prob. 5BSCCh. 8.2 - Prob. 6BSCCh. 8.2 - Prob. 7BSCCh. 8.2 - Prob. 8BSCCh. 8.2 - Prob. 9BSCCh. 8.2 - Prob. 10BSCCh. 8.2 - Prob. 11BSCCh. 8.2 - Prob. 12BSCCh. 8.2 - Testing Claims About Proportions. In Exercises 9 –...Ch. 8.2 - Prob. 14BSCCh. 8.2 - Prob. 15BSCCh. 8.2 - Prob. 16BSCCh. 8.2 - Prob. 17BSCCh. 8.2 - Prob. 18BSCCh. 8.2 - Prob. 19BSCCh. 8.2 - Prob. 20BSCCh. 8.2 - Prob. 21BSCCh. 8.2 - Prob. 22BSCCh. 8.2 - Prob. 23BSCCh. 8.2 - Prob. 24BSCCh. 8.2 - Prob. 25BSCCh. 8.2 - Prob. 26BSCCh. 8.2 - Prob. 27BSCCh. 8.2 - Prob. 28BSCCh. 8.2 - Prob. 29BSCCh. 8.2 - Prob. 30BSCCh. 8.2 - Prob. 31BSCCh. 8.2 - Prob. 32BSCCh. 8.2 - Prob. 33BBCh. 8.2 - Prob. 34BBCh. 8.2 - Prob. 35BBCh. 8.3 - Video Games: Checking Requirements Twelve...Ch. 8.3 - Prob. 2BSCCh. 8.3 - Prob. 3BSCCh. 8.3 - Prob. 4BSCCh. 8.3 - Prob. 5BSCCh. 8.3 - Prob. 6BSCCh. 8.3 - Prob. 7BSCCh. 8.3 - Prob. 8BSCCh. 8.3 - Prob. 9BSCCh. 8.3 - Prob. 10BSCCh. 8.3 - Prob. 11BSCCh. 8.3 - Prob. 12BSCCh. 8.3 - Prob. 13BSCCh. 8.3 - Testing Hypotheses. In Exercises 13–24, assume...Ch. 8.3 - Prob. 15BSCCh. 8.3 - Prob. 16BSCCh. 8.3 - Prob. 17BSCCh. 8.3 - Testing Hypotheses. In Exercises 13–24, assume...Ch. 8.3 - Prob. 19BSCCh. 8.3 - Prob. 20BSCCh. 8.3 - Prob. 21BSCCh. 8.3 - Prob. 22BSCCh. 8.3 - Prob. 23BSCCh. 8.3 - Testing Hypotheses. In Exercises 13–24, assume...Ch. 8.3 - Prob. 25BSCCh. 8.3 - Prob. 26BSCCh. 8.3 - Prob. 27BSCCh. 8.3 - Prob. 28BSCCh. 8.3 - Prob. 31BBCh. 8.3 - 32. Interpreting Power For the sample data in...Ch. 8.4 - Prob. 1BSCCh. 8.4 - Cans of Coke Use the data and the claim given in...Ch. 8.4 - Prob. 3BSCCh. 8.4 - Prob. 4BSCCh. 8.4 - Prob. 5BSCCh. 8.4 - Prob. 6BSCCh. 8.4 - Prob. 7BSCCh. 8.4 - Prob. 8BSCCh. 8.4 - Prob. 9BSCCh. 8.4 - Prob. 10BSCCh. 8.4 - Prob. 11BSCCh. 8.4 - Prob. 12BSCCh. 8.4 - Prob. 13BSCCh. 8.4 - Prob. 14BSCCh. 8.4 - Prob. 15BSCCh. 8.4 - Prob. 16BSCCh. 8.4 - Prob. 17BSCCh. 8.4 - Prob. 18BSCCh. 8.4 - Prob. 19BBCh. 8.4 - Prob. 20BBCh. 8 - Prob. 1CQQCh. 8 - Prob. 2CQQCh. 8 - Prob. 3CQQCh. 8 - Prob. 4CQQCh. 8 - Prob. 5CQQCh. 8 - Prob. 6CQQCh. 8 - Prob. 7CQQCh. 8 - Prob. 8CQQCh. 8 - Prob. 9CQQCh. 8 - Prob. 10CQQCh. 8 - Prob. 1CRECh. 8 - Prob. 2CRECh. 8 - Prob. 3CRECh. 8 - Red Blood Cell Count A simple random sample of 40...Ch. 8 - Prob. 5CRECh. 8 - Prob. 6CRECh. 8 - BMI for Miss America Use the same BMI indexes...Ch. 8 - Lightning Deaths Based on the results given in...Ch. 8 - Prob. 1.1CRECh. 8 - Prob. 1.2CRECh. 8 - Prob. 1.3CRECh. 8 - Prob. 1.4CRECh. 8 - Prob. 1.5CRECh. 8 - Prob. 1.6CRECh. 8 - Prob. 1.7CRECh. 8 - Prob. 1.8CRECh. 8 - Prob. 1EPCh. 8 - Prob. 1FDD
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- A study was undertaken to compare respiratory responses of hypnotized and unhypnotized subjects. The following data represent total ventilation measured in liters of air per minute per square meter of body area for two independent (and randomly chosen) samples. Analyze these data using the appropriate non-parametric hypothesis test. Unhypnotized: 5.0 5.3 5.3 5.4 5.9 6.2 6.6 6.7 Hypnotized: 5.8 5.9 6.2 6.6 6.7 6.1 7.3 7.4arrow_forwardThe class will include a data exercise where students will be introduced to publicly available data sources. Students will gain experience in manipulating data from the web and applying it to understanding the economic and demographic conditions of regions in the U.S. Regions and topics of focus will be determined (by the student with instructor approval) prior to April. What data exercise can I do to fulfill this requirement? Please explain.arrow_forwardConsider the ceocomp dataset of compensation information for the CEO’s of 100 U.S. companies. We wish to fit aregression model to assess the relationship between CEO compensation in thousands of dollars (includes salary andbonus, but not stock gains) and the following variates:AGE: The CEOs age, in yearsEDUCATN: The CEO’s education level (1 = no college degree; 2 = college/undergrad. degree; 3 = grad. degree)BACKGRD: Background type(1= banking/financial; 2 = sales/marketing; 3 = technical; 4 = legal; 5 = other)TENURE: Number of years employed by the firmEXPER: Number of years as the firm CEOSALES: Sales revenues, in millions of dollarsVAL: Market value of the CEO's stock, in natural logarithm unitsPCNTOWN: Percentage of firm's market value owned by the CEOPROF: Profits of the firm, before taxes, in millions of dollars1) Create a scatterplot matrix for this dataset. Briefly comment on the observed relationships between compensationand the other variates.Note that companies with negative…arrow_forward
- 6 (Model Selection, Estimation and Prediction of GARCH) Consider the daily returns rt of General Electric Company stock (ticker: "GE") from "2021-01-01" to "2024-03-31", comprising a total of 813 daily returns. Using the "fGarch" package of R, outputs of fitting three GARCH models to the returns are given at the end of this question. Model 1 ARCH (1) with standard normal innovations; Model 2 Model 3 GARCH (1, 1) with Student-t innovations; GARCH (2, 2) with Student-t innovations; Based on the outputs, answer the following questions. (a) What can be inferred from the Standardized Residual Tests conducted on Model 1? (b) Which model do you recommend for prediction between Model 2 and Model 3? Why? (c) Write down the fitted model for the model that you recommended in Part (b). (d) Using the model recommended in Part (b), predict the conditional volatility in the next trading day, specifically trading day 814.arrow_forward4 (MLE of ARCH) Suppose rt follows ARCH(2) with E(rt) = 0, rt = ut, ut = στει, σε where {+} is a sequence of independent and identically distributed (iid) standard normal random variables. With observations r₁,...,, write down the log-likelihood function for the model esti- mation.arrow_forward5 (Moments of GARCH) For the GARCH(2,2) model rt = 0.2+0.25u1+0.05u-2 +0.30% / -1 +0.20% -2, find cov(rt). 0.0035 ut, ut = στει,στ =arrow_forward
- Definition of null hypothesis from the textbook Definition of alternative hypothesis from the textbook Imagine this: you suspect your beloved Chicken McNugget is shrinking. Inflation is hitting everything else, so why not the humble nugget too, right? But your sibling thinks you’re just being dramatic—maybe you’re just extra hungry today. Determined to prove them wrong, you take matters (and nuggets) into your own hands. You march into McDonald’s, get two 20-piece boxes, and head home like a scientist on a mission. Now, before you start weighing each nugget like they’re precious gold nuggets, let’s talk hypotheses. The average weight of nuggets as mentioned on the box is 16 g each. Develop your null and alternative hypotheses separately. Next, you weigh each nugget with the precision of a jeweler and find they average out to 15.5 grams. You also conduct a statistical analysis, and the p-value turns out to be 0.01. Based on this information, answer the following questions. (Remember,…arrow_forwardBusiness Discussarrow_forwardCape Fear Community Colle X ALEKS ALEKS - Dorothy Smith - Sec X www-awu.aleks.com/alekscgi/x/Isl.exe/10_u-IgNslkr7j8P3jH-IQ1w4xc5zw7yX8A9Q43nt5P1XWJWARE... Section 7.1,7.2,7.3 HW 三 Question 21 of 28 (1 point) | Question Attempt: 5 of Unlimited The proportion of phones that have more than 47 apps is 0.8783 Part: 1 / 2 Part 2 of 2 (b) Find the 70th The 70th percentile of the number of apps. Round the answer to two decimal places. percentile of the number of apps is Try again Skip Part Recheck Save 2025 Mcarrow_forward
- Hi, I need to sort out where I went wrong. So, please us the data attached and run four separate regressions, each using the Recruiters rating as the dependent variable and GMAT, Accept Rate, Salary, and Enrollment, respectively, as a single independent variable. Interpret this equation. Round your answers to four decimal places, if necessary. If your answer is negative number, enter "minus" sign. Equation for GMAT: Ŷ = _______ + _______ GMAT Equation for Accept Rate: Ŷ = _______ + _______ Accept Rate Equation for Salary: Ŷ = _______ + _______ Salary Equation for Enrollment: Ŷ = _______ + _______ Enrollmentarrow_forwardQuestion 21 of 28 (1 point) | Question Attempt: 5 of Unlimited Dorothy ✔ ✓ 12 ✓ 13 ✓ 14 ✓ 15 ✓ 16 ✓ 17 ✓ 18 ✓ 19 ✓ 20 = 21 22 > How many apps? According to a website, the mean number of apps on a smartphone in the United States is 82. Assume the number of apps is normally distributed with mean 82 and standard deviation 30. Part 1 of 2 (a) What proportion of phones have more than 47 apps? Round the answer to four decimal places. The proportion of phones that have more than 47 apps is 0.8783 Part: 1/2 Try again kip Part ی E Recheck == == @ W D 80 F3 151 E R C レ Q FA 975 % T B F5 10 の 000 园 Save For Later Submit Assignment © 2025 McGraw Hill LLC. All Rights Reserved. Terms of Use | Privacy Center | Accessibility Y V& U H J N * 8 M I K O V F10 P = F11 F12 . darrow_forwardYou are provided with data that includes all 50 states of the United States. Your task is to draw a sample of: 20 States using Random Sampling (2 points: 1 for random number generation; 1 for random sample) 10 States using Systematic Sampling (4 points: 1 for random numbers generation; 1 for generating random sample different from the previous answer; 1 for correct K value calculation table; 1 for correct sample drawn by using systematic sampling) (For systematic sampling, do not use the original data directly. Instead, first randomize the data, and then use the randomized dataset to draw your sample. Furthermore, do not use the random list previously generated, instead, generate a new random sample for this part. For more details, please see the snapshot provided at the end.) You are provided with data that includes all 50 states of the United States. Your task is to draw a sample of: o 20 States using Random Sampling (2 points: 1 for random number generation; 1 for random sample) o…arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSON
The Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. Freeman
Introduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman
Probability & Statistics (28 of 62) Basic Definitions and Symbols Summarized; Author: Michel van Biezen;https://www.youtube.com/watch?v=21V9WBJLAL8;License: Standard YouTube License, CC-BY
Introduction to Probability, Basic Overview - Sample Space, & Tree Diagrams; Author: The Organic Chemistry Tutor;https://www.youtube.com/watch?v=SkidyDQuupA;License: Standard YouTube License, CC-BY