Introductory Statistics, Books a la Carte Plus NEW MyLab Statistics with Pearson eText -- Access Card Package (10th Edition)
10th Edition
ISBN: 9780134270364
Author: Neil A. Weiss
Publisher: PEARSON
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Chapter C.4, Problem 73E
If the confidence interval for the difference between two treatment
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Students have asked these similar questions
Which is cheaper: eating out or dining in? The mean cost of a flank steak,
broccoli, and rice bought at the grocery store is $13.04 (Money.msn website,
November 7, 2012). A sample of 100 neighborhood restaurants showed a
mean price of $12.75 and a standard deviation of $2 for a comparable
restaurant meal. Answer questions 4-7.
If a 90% confidence interval for the difference of proportions contains some positive and some negative values, what can we conclude about the relationship between p1 and p2 at the 90% confidence level?
There is a positive difference between p1 and p2.
There is no difference between p1 and p2.
There is a negative difference between p1 and p2.
We cannot make a conclusion about the relationship between p1 and p2.
All of the following statements regarding Confidence Intervals and Hypothesis Testing are correct except for:
A two-tailed hypothesis test conducted at alpha=.05 requires a two-sided 90% confidence interval.
One-sided confidence intervals are used for one-tailed hypothesis tests.
A two-tailed hypothesis test conducted at alpha=.01 requires a two-sided 99% confidence interval.
If the hypothesized mean is in the confidence interval, the null hypothesis will NOT be rejected.
Chapter C Solutions
Introductory Statistics, Books a la Carte Plus NEW MyLab Statistics with Pearson eText -- Access Card Package (10th Edition)
Ch. C.1 - Define the following terms: a. factor b. levels of...Ch. C.1 - A three-way factorial design has Factor A at 3...Ch. C.1 - A four-way factorial design has Factor A at 2...Ch. C.1 - A three-way factorial design has Factor A at 6...Ch. C.1 - Answer true or false to each of the following...Ch. C.1 - Prob. 8ECh. C.1 - Answer true or false to each of the following...Ch. C.1 - Prob. 10ECh. C.1 - In each of Exercises C.11C.17 identify the...Ch. C.1 - In each of Exercises C.11C.17 identify the...
Ch. C.1 - In each of Exercises C.11C.17 identify the...Ch. C.1 - In each of Exercises C.11C.17 identify the...Ch. C.1 - In each of Exercises C.11C.17 identify the...Ch. C.1 - Prob. 16ECh. C.1 - In each of Exercises C.11C.17 identify the...Ch. C.2 - Consider a 3 4 ANOVA. a. Identify the number of...Ch. C.2 - Consider a 4 2 ANOVA. a. Identify the number of...Ch. C.2 - Prob. 25ECh. C.2 - Prob. 26ECh. C.2 - Prob. 27ECh. C.2 - Prob. 28ECh. C.2 - In two-way ANOVA, identify what we mean by a. a...Ch. C.2 - In two-way ANOVA, what does it mean we have...Ch. C.2 - In Exercises C.31C.33, we have presented partially...Ch. C.2 - Prob. 32ECh. C.2 - Prob. 33ECh. C.2 - Prob. 34ECh. C.2 - State the null and alternative hypotheses for a...Ch. C.2 - Prob. 36ECh. C.2 - In a two-way ANOVA, why is the test for...Ch. C.2 - Prob. 38ECh. C.2 - Prob. 39ECh. C.2 - Prob. 40ECh. C.2 - Prob. 41ECh. C.2 - Referring to Exercise C.38, for which part(s) is...Ch. C.2 - Prob. 43ECh. C.2 - Prob. 44ECh. C.2 - Prob. 45ECh. C.2 - Prob. 46ECh. C.3 - In each of Exercises C.47C.53, we have presented a...Ch. C.3 - In each of Exercises C.47C.53, we have presented a...Ch. C.3 - Prob. 49ECh. C.3 - Prob. 50ECh. C.3 - Prob. 51ECh. C.3 - Prob. 52ECh. C.3 - Prob. 53ECh. C.3 - Prob. 54ECh. C.3 - Prob. 55ECh. C.3 - Prob. 56ECh. C.3 - Prob. 57ECh. C.3 - Prob. 58ECh. C.3 - Prob. 59ECh. C.3 - Prob. 60ECh. C.3 - Prob. 61ECh. C.3 - Prob. 62ECh. C.3 - Prob. 63ECh. C.3 - Prob. 64ECh. C.3 - Prob. 65ECh. C.3 - Prob. 66ECh. C.3 - Prob. 67ECh. C.3 - Prob. 68ECh. C.3 - Prob. 69ECh. C.3 - Prob. 70ECh. C.3 - Prob. 71ECh. C.4 - In an experiment with two factors, A and B, what...Ch. C.4 - If the confidence interval for the difference...Ch. C.4 - Prob. 74ECh. C.4 - Prob. 75ECh. C.4 - Let Factor A have three levels and Factor B have...Ch. C.4 - In Exercises C.77C.83, we have repeated the...Ch. C.4 - Prob. 78ECh. C.4 - In Exercises C.77C.83, we have repeated the...Ch. C.4 - Prob. 80ECh. C.4 - In Exercises C. 77-C.83. we have repeated the...Ch. C.4 - In Exercises C.77C.83, we have repeated the...Ch. C.4 - Prob. 83ECh. C.4 - Household Income. Refer to Exercise C.77. Use the...Ch. C.4 - Prob. 85ECh. C.4 - Prob. 86ECh. C.4 - Highway Signs. Refer to Exercise C.80. Use the...Ch. C.4 - Hospital Stays. Refer to Exercise C.81. Use the...Ch. C.4 - Prob. 89ECh. C.4 - Advertising and Sales. Refer to Exercise C.83. Use...Ch. C.5 - In each of Exercises C.91C.97, identify the...Ch. C.5 - Prob. 92ECh. C.5 - In each of Exercises C.91C.97, identify the...Ch. C.5 - In each of Exercises C.91C.97, identify the...Ch. C.5 - In each of Exercises C.91C.97, identify the...Ch. C.5 - In each of Exercises C.91C.97, identify the...Ch. C.5 - In each of Exercises C.91C.97, identify the...Ch. C.6 - What is the purpose of blocking in a randomized...Ch. C.6 - Prob. 104ECh. C.6 - Prob. 105ECh. C.6 - Prob. 106ECh. C.6 - Answer true or false to the following statements...Ch. C.6 - Prob. 108ECh. C.6 - In randomized block ANOVA, what is meant when we...Ch. C.6 - Prob. 110ECh. C.6 - State the null and alternative hypotheses for a...Ch. C.6 - Identify, give the degrees of freedom for, and...Ch. C.6 - Prob. 113ECh. C.6 - Prob. 114ECh. C.6 - Prob. 115ECh. C.6 - Prob. 116ECh. C.6 - Prob. 117ECh. C.6 - Prob. 118ECh. C.7 - In each of Exercises C.119C.125, we have presented...Ch. C.7 - Prob. 120ECh. C.7 - Prob. 121ECh. C.7 - Prob. 122ECh. C.7 - Prob. 123ECh. C.7 - Prob. 124ECh. C.7 - Prob. 125ECh. C.7 - Prob. 126ECh. C.7 - Prob. 127ECh. C.7 - Prob. 128ECh. C.7 - Prob. 129ECh. C.7 - Prob. 130ECh. C.7 - Prob. 131ECh. C.7 - Penicillin Yields. Refer to Exercise C.121. Use...Ch. C.7 - Prob. 133ECh. C.7 - Battery Lifetimes. Refer to Exercise C.123. Use...Ch. C.7 - Prob. 135ECh. C.7 - Prob. 136ECh. C.7 - Prob. 137ECh. C.7 - Prob. 138ECh. C.7 - Prob. 139ECh. C.7 - Prob. 140ECh. C.7 - Prob. 141ECh. C.7 - Golf Ball Driving Distances. Refer to Exercise...Ch. C.7 - Prob. 143ECh. C.7 - Analgesic Effectiveness. Refer to the analgesic...Ch. C.8 - In a randomized block experiment with treatment...Ch. C.8 - If the confidence interval for the difference...Ch. C.8 - The parameter v for the q-curve in a Tukey...Ch. C.8 - Prob. 148ECh. C.8 - Prob. 149ECh. C.8 - Prob. 150ECh. C.8 - Prob. 151ECh. C.8 - Prob. 152ECh. C.8 - Prob. 153ECh. C.8 - Prob. 154ECh. C.8 - Mileage for Gasoline Brands. Refer to Exercises...Ch. C.8 - Prob. 156ECh. C.8 - Prob. 157ECh. C.8 - Barley Variety Yields. Refer to Exercises C.125...Ch. C.8 - Prob. 159ECh. C.9 - Of which test is the Friedman test a nonparametric...Ch. C.9 - Prob. 161ECh. C.9 - Prob. 162ECh. C.9 - Prob. 163ECh. C.9 - Fill in the following blank: If the null...Ch. C.9 - Prob. 165ECh. C.9 - For a Friedman test to compare the means of six...Ch. C.9 - Prob. 167ECh. C.9 - In each of Exercises C.168C.I74, determine whether...Ch. C.9 - Prob. 169ECh. C.9 - Prob. 170ECh. C.9 - Prob. 171ECh. C.9 - Prob. 172ECh. C.9 - Prob. 173ECh. C.9 - Prob. 174ECh. C.9 - Prob. 175ECh. C.9 - Prob. 176ECh. C.9 - Prob. 177ECh. C.9 - Prob. 178ECh. C.9 - Prob. 179ECh. C.9 - Prob. 180ECh. C.9 - Prob. 181ECh. C - Discuss the differences between a designed...Ch. C - In a complete factorial design, how do you...Ch. C - Prob. 3RPCh. C - Prob. 4RPCh. C - Prob. 5RPCh. C - Prob. 6RPCh. C - Prob. 7RPCh. C - For a two-way ANOVA: a. List and interpret the...Ch. C - Prob. 9RPCh. C - Prob. 10RPCh. C - State the assumptions for a two-way ANOVA and...Ch. C - Prob. 12RPCh. C - Prob. 13RPCh. C - Prob. 14RPCh. C - This problem concerns multiple comparisons. a....Ch. C - Cereal Sales. Refer to Problem 13. Perform...Ch. C - Explain why it is sometimes preferable to employ a...Ch. C - For a randomized block ANOVA: a. List and...Ch. C - Prob. 19RPCh. C - Prob. 20RPCh. C - Prob. 21RPCh. C - Prob. 22RPCh. C - Prob. 23RPCh. C - Prob. 24RPCh. C - Prob. 25RPCh. C - Identify the nonparametric alternative to the...Ch. C - Explain the logic behind the Friedman test.Ch. C - Prob. 28RPCh. C - Prob. 29RPCh. C - Prob. 30RPCh. C - Prob. 31RPCh. C - Prob. 32RPCh. C - Prob. 33RPCh. C - Prob. 34RPCh. C - Prob. 35RPCh. C - Prob. 36RP
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- 4. The P-value for a two-sided test of the null hypothesis Ho: u = 10 is 0.03. Does the 95% confidence interval for u include 10? Why or why not? Does the 99% confidence interval for u include 10? Why or why not?arrow_forwardA non-significant outcome means that the data do not conclusively demonstrate that the null hypothesis is false. True Falsearrow_forwardA politician claims that a proposal for a new traffic law is broadly supported by both political parties and that a person from either political party is equally likely to support the proposed legislation. He cites two recent polls that said 70% of a random sample of 550 people from his political party supports the law, and 65% of a random sample of 420 people from the other political party supports the law. The 95 percent confidence interval for the difference in population proportions is (–0.010, 0.110). Based on the interval, is the politician’s claim justified?arrow_forward
- HR department wants to make sure that their hiring practices are independent of gender. In other words, they want to ensure that both men and women have an equal chance of being hired. The observed data related to this survey is summarized in the following table: Observed frequency Male Female Total Hired 45 35 Not Hired 32 28 Total Given Ho = “HR department hired male and female employees equally”, decide whether to reject or fail to reject the null hypothesis (α = 0.05).arrow_forwardIf a significance test gives p-value 0.005... A.. the effect of interest is practically significant B...We do have good evidence against the null hypothesis C...we do not have good evidence against the null hypothesis D...the null hypothesis is very likely to be true E.. The margin of error is 0.005arrow_forwardSuppose we created a 90% confidence interval for B1, and wanted to use it to determine if the linear relationship between X and Ywas positive or negative, or if there was no linear relationship at all. For which ONE of the following 90% confidence intervals would we be most likely to fail to reject a null hypothesis of Ho: B1 = 0 at the 10 % level of significance, and conclude there is no linear relationship between X and Y? If it is not possible to determine this based on the information provided, select the last option. O(-1.02, 1.29) O (1.31, 4.79) O(-1.15, -0.39) It is not possible to determine this based on the information provided.arrow_forward
- Suppose a 95% confidence interval for the difference in test scores between Class 1 and Class 2 (in that order) is the following: 9 +/− 2. These results were based on independent samples of size 100 from each class. Now suppose you switch the order of Class 1 and Class 2 in your analysis but keep the data labeled correctly in terms of which class they came from. Which of the following statements is false? A) You can't do it this way. You'll get negative numbers for the difference in the means and/or negative numbers for the standard error. B) You are confident that the average for Class 2 is 7 to 11 points lower than for Class 1. C) You are still confident that the classes have significantly different mean scores. D) Your 95% confidence interval will now be entirely negative: from −7 to −11.arrow_forwardSuppose a 95% confidence interval was computed based on a sample of 320 trick-or-treaters. If the sample size were increased to 640, what impact would this have on the margin of error and width of the confidence interval? Both the margin of error and the width would increase Neither the margin of error nor the width would be affected. Both the margin of error and the width would decrease The margin of error would decrease and the width would increase. The margin of error would increase and the width would decreasearrow_forwardSuppose that researcher A forms a two-sided 95 percent confidence interval to estimate µ (the population mean). The result is L =.30 and U = .60. Researcher B, using the same data, performs a two-tailed hypothesis test of the null hypothesis µ = .45. Which of the following is true concerning the result of the hypothesis test? Researcher B rejects the null hypothesis. Researcher B fails to reject the null hypothesis. Not enough information is given to know if researcher B rejects or fails to reject. Researcher B will make a Type I error.arrow_forward
- urgently neededarrow_forwardSuppose you are interested in the rate of autism among current school-aged children in Utah. You collect a sample of 400 children between the ages of 5 and 18 and find that two have had a previous diagnosis of an autism disorder. You plan to calculate a 95% confidence interval estimator of the proportion of school-aged children in Utah who have ever had a diagnosis of an autism disorder. Which of the following is the most likely reason you would use a Wilson estimator to calculate the confidence interval estimator? A confidence interval estimator based on the Wilson estimator does not use the normal distribution. It is possible that if even the actual proportion in Utah is 1%, your sample may only have very few children who have had a previous diagnosis of an autism disorder. It is an easier way to calculate the confidence interval estimator. It is uncomfortable to define having been diagnosed with autism as a success. Let p be the proportion of…arrow_forward1. A 90% confidence interval is wider than a 99% confidence interval using the exact same data. True False ONLY If false, change the underlined portion by putting the correct answer here (leave blank if true): 2. The null hypothesis if you are trying to find out if you have enough evidence to conclude that the population mean is different than 55 would be Ha: µ ≠ 55. True False If false, change the underlined portion by putting the correct answer here (leave blank if true): 3. A p-value of 0.017 provides more evidence against the null hypothesis than a p-value of 0.005. True False ONLY If false, change the underlined portion by putting the correct answer here (leave blank if true):arrow_forward
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