MyLab Statistics with Pearson eText -- Standalone Access Card -- for Elementary Statistics Using Excel (My Stat Lab)
6th Edition
ISBN: 9780134748849
Author: Mario F. Triola
Publisher: PEARSON
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Chapter 2.3, Problem 14BSC
To determine
Construct a pie chart for the given data.
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THE QUESTION:
Set up a free RStudio account at posit.cloud. At the start of your R session, you should enter the following commands.
set.seed(1)
e<-rnorm(n = 100,mean = 0,sd = 80)
x<-seq(1,100,1)
y<-10+15*x + e
Follow the examples in the Panopto Videos to use R to obtain the values requested below. (As always, if you round your answers, make sure you do so correctly and keep at least
three decimal places.)
(a) The smallest value of y =
(b) The largest value of y =
(c) The standard deviation of y =
(d) The mean of y =
(e) The median of y =
(f) The correlation between x and y =
(g) Using the variable e as data, the p-value for a test of Ho = 0 vs. Hд μ0 is
ANSWERS I HAVE TRIED
THAT ARE NOT CORRECT ↓
Answer Preview
(BESIDES F, F IS CORRECT)
(A)
-104.123
(B)
1545.84
(C)
448.543
(D)
752.347
(E)
775.533
(F)
(G)
0.987
0.497
PLEASSSEEE DO NOT GIVE ME
BACK THE SAME ANSWERS
THAT I HAVE SAID ARE WRONG
Result
incorrect
incorrect
incorrect
incorrect
incorrect
correct
incorrect
3:23
Search
1 of 2
UMCISI
mville.brightspace.com
onomic Statistics
our grade, can be done as a 2 people's group)
-
Due date Sunday, 12/08/202 through Brightspace portal.
College students' physical, emotional, and mental health are at the forefront of many national
discussions and statistical studies. Many factors can influence students' overall health,
including diet, sleep, exercise, social media usage, etc. In this project, you will look at real data
gathered from 30 college students and determine related descriptive and inferential statistics.
Please use MS Excel (see attached file) to collect your data and complete the assignment.
The students surveyed were asked the following questions:
On a typical weekday,
Are you an on-campus student or a commuter?
How many hours of sleep do you get?
How many hours do you study?
How many calories do you intake?
How many hours do you exercise?
How many hours do you spend on social media?
How many hours do you spend with your friends and family…
Is the area to the right of the left-tail critical value Chi-squared(1-alpha) of the chi-squared distribution always (1-alpha), and is the area to the left of this critical value always alpha? Does this apply to all chi-squared distributions?Please see image attached
Chapter 2 Solutions
MyLab Statistics with Pearson eText -- Standalone Access Card -- for Elementary Statistics Using Excel (My Stat Lab)
Ch. 2.1 - 1. McDonald’s Dinner Service Times Refer 10 the...Ch. 2.1 - Prob. 2BSCCh. 2.1 - Prob. 3BSCCh. 2.1 - Prob. 4BSCCh. 2.1 - In Exercise 5–8, identify the class width, class...Ch. 2.1 - Prob. 6BSCCh. 2.1 - Prob. 7BSCCh. 2.1 - Prob. 8BSCCh. 2.1 - Prob. 9BSCCh. 2.1 - Prob. 10BSC
Ch. 2.1 - Constructing Frequency Distributions. In Exercises...Ch. 2.1 - Constructing Frequency Distributions. In Exercises...Ch. 2.1 - Constructing Frequency Distributions. In Exercises...Ch. 2.1 - 14. Burger King Dinner Service Times Refer to Data...Ch. 2.1 - 15. Wendy’s Lunch Service Times Refer to Data Set...Ch. 2.1 - 16. Wendy’s Dinner Service Times Refer to Data Set...Ch. 2.1 - 17. Analysis of Last Digits Heights of statistics...Ch. 2.1 - 18. Analysis of Last Digits Weights of respondents...Ch. 2.1 - Prob. 19BSCCh. 2.1 - Prob. 20BSCCh. 2.1 - Prob. 21BSCCh. 2.1 - Prob. 22BSCCh. 2.1 - Categorical Data. In Exercises 23 and 24, use the...Ch. 2.1 - Prob. 24BSCCh. 2.1 - Prob. 25BSCCh. 2.1 - Prob. 26BSCCh. 2.1 - Prob. 27BSCCh. 2.1 - Prob. 28BSCCh. 2.1 - Prob. 29BBCh. 2.2 - 1. Heights Heights of adult males are normally...Ch. 2.2 - Prob. 2BSCCh. 2.2 - Prob. 3BSCCh. 2.2 - Prob. 4BSCCh. 2.2 - Interpreting a Histogram. In Exercises 5–8, answer...Ch. 2.2 - Interpreting a Histogram. In Exercises 5–8, answer...Ch. 2.2 - Interpreting a Histogram. In Exercises 5–8, answer...Ch. 2.2 - Interpreting a Histogram. In Exercises 5–8, answer...Ch. 2.2 - Constructing Histograms. In Exercises 9 –45,...Ch. 2.2 - Constructing Histograms. In Exercises 9–45,...Ch. 2.2 - Tornadoes Use the frequency distribution from...Ch. 2.2 - Constructing Histograms. In Exercises 9–45,...Ch. 2.2 - Tornadoes Use the frequency distribution from...Ch. 2.2 - Constructing Histograms. In Exercises 9–45,...Ch. 2.2 - Prob. 15BSCCh. 2.2 - Prob. 16BSCCh. 2.2 - Prob. 17BBCh. 2.2 - Prob. 18BBCh. 2.3 - 1. Body Temperatures Listed below are body...Ch. 2.3 - 2. Voluntary Response Data If we have a large...Ch. 2.3 - 3. Ethics There are data showing that smoking is...Ch. 2.3 - 4. CVDOT Section 2-1 introduced important...Ch. 2.3 - Pulse Rates Listed below are pulse rates (beats...Ch. 2.3 - Diastolic Blood Pressure Listed below are...Ch. 2.3 - Pulse Rates Refer to the data listed in Exercise...Ch. 2.3 - Diastolic Blood Pressure Refer to the data listed...Ch. 2.3 - Time-Series Graphs. In Exercises 9 and 10,...Ch. 2.3 - Time-Series Graphs. In Exercises 9 and 10,...Ch. 2.3 - Prob. 11BSCCh. 2.3 - Prob. 12BSCCh. 2.3 - Prob. 13BSCCh. 2.3 - Prob. 14BSCCh. 2.3 - Prob. 15BSCCh. 2.3 - Frequency Polygon. In Exercises 15 and 13,...Ch. 2.3 - Prob. 17BSCCh. 2.3 - Deceptive Graphs. In Exercises 17-20, identify how...Ch. 2.3 - Prob. 19BSCCh. 2.3 - Prob. 20BSCCh. 2.3 - Prob. 21BBCh. 2.4 - 1. Linear Correlation In this section we use r to...Ch. 2.4 - Prob. 2BSCCh. 2.4 - Prob. 3BSCCh. 2.4 - 4. Estimating r For each of the following,...Ch. 2.4 - Scatterplot. In Exercises 5 – 8, use the sample...Ch. 2.4 - Prob. 6BSCCh. 2.4 - Scatterplot. In Exercises 5 – 8, use the sample...Ch. 2.4 - Scatterplot. In Exercises 5 – 8, use the sample...Ch. 2.4 - Linear Correlation Coefficient In Exercises 9-12,...Ch. 2.4 - Linear Correlation Coefficient In Exercises 9-12,...Ch. 2.4 - Linear Correlation Coefficient In Exercises 9-12,...Ch. 2.4 - Prob. 12BSCCh. 2.4 - Prob. 13BBCh. 2.4 - Prob. 14BBCh. 2.4 - Prob. 15BBCh. 2.4 - Prob. 16BBCh. 2 - Prob. 1CQQCh. 2 - Prob. 2CQQCh. 2 - Prob. 3CQQCh. 2 - Prob. 4CQQCh. 2 - Prob. 5CQQCh. 2 - Prob. 6CQQCh. 2 - Prob. 7CQQCh. 2 - Prob. 8CQQCh. 2 - Prob. 9CQQCh. 2 - Prob. 10CQQCh. 2 - 1. Frequency Distribution of Body Temperatures...Ch. 2 - Prob. 2RECh. 2 - Prob. 3RECh. 2 - Prob. 4RECh. 2 - Prob. 5RECh. 2 - Prob. 6RECh. 2 - Prob. 7RECh. 2 - Prob. 8RECh. 2 - Prob. 1CRECh. 2 - Prob. 2CRECh. 2 - Histogram Construct the histogram corresponding to...Ch. 2 - Prob. 4CRECh. 2 - Prob. 5CRECh. 2 - Prob. 6CRECh. 2 - Prob. 1EP
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- Set up a free RStudio account at posit.cloud. At the start of your R session, you should enter the following commands. set.seed(1) e<-rnorm(n = 100,mean = 0,sd = 80) x<-seq(1,100,1) y<-10+15*x + e Follow the examples in the Panopto Videos to use R to obtain the values requested below. (As always, if you round your answers, make sure you do so correctly and keep at least three decimal places.) (a) The smallest value of y = (b) The largest value of y = (c) The standard deviation of y = (d) The mean of y = (e) The median of y = (f) The correlation between x and y = : (g) Using the variable e as data, the p-value for a test of Hoμ = 0 vs. HA μ0 isarrow_forwardDoes Chi-squared(alpha) always represent the right tail of the the chi-square distribution and does Chi-squared(1-alpha) always represent the left tail of the the chi-square distribution. Also, for a standard normal distribution would Z(1-alpha) be equivalent to -Zalpha in represneting the left tail of the standard normal distribution curve because they both have the same z-score. Furthermore, is my understanding correct in the sense that if we have a critical value,say Zalpha, would the area to the right of it will be alpha and to the left of it would be 1-alphaarrow_forwardOne bulb manufacturer claims an average bulb life of 1,600 hours. It is suspected that the actual average is significantly lower. To verify this, a sample of 49 bulbs is selected and the life of each bulb is measured. A sample mean of 1,500 hours and a standard deviation of 120 hours were obtained from them. Can you be sure, at 5% significance, that the mean life is less than what the manufacturer claims?arrow_forward
- The specification calls for the dimension of a certain mechanical part to be 0.55 inches. A random sample of 35 parts taken from a large batch showed a mean 0.54 in. with a deviation of 0.05 in. Can it be concluded, at 1% significance, that the batch of parts meets the required specification?arrow_forwardA manufacturer produces a wire rope of a certain type, which has a breaking strength of not more than 300 kg. A new and cheaper process is discovered which is desired to be employed, provided that the wire rope thus produced has an average breaking strength greater than 300 kg. If a random sample of 26 wires produced with the new process has given a mean of 304.5 kg and a standard deviation of 15 kg, should the manufacturer adopt the new process?arrow_forwardWe are interested in whether the proportions of female suicide victims for ages 15 to 24 are the same between the white and the black races in the United States. We randomly pick one year to compare the races. The number of suicides estimated in the United States in that year for white females is 4,930. Five hundred eighty-three were aged 15 to 24. The estimate for black females is 330. Forty-one were aged 15 to 24. We will let female suicide victims be our population. (Use α = 0.05.) NOTE: If you are using a Student's t-distribution for the problem, including for paired data, you may assume that the underlying population is normally distributed. (In general, you must first prove that assumption, though.) Part (a) State the null hypothesis. ○ Ho: PW> PB O Ho: PW + PB Ho: Pw≤ PB Ho: PW-PB ○ Ho: Pw PB Part (c) In words, state what your random variable P'w-P'B represents. P'w-P'B represents the average difference of white and black female suicide victims, aged 15 to 24. ○ P'w-P'B…arrow_forward
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