In a random sample of 50 patients undergoing a standard surgical procedure, 15 required medication for post operative pain. In a random sample of 90 patients undergoing a new procedure, only 16 required pain medication. a)Are conditions met to perform inference onthis study?   b)Construct and interpret a 95% confidence interval for the difference in the proportions of patients needing pain medication between the old and new procedures.   c) A physician claims that the proportion of patients who need pain medication is the same for both procedures. Does the confidence interval contradict this claim? Why/Why not?

Q: 1) A sample of 532 Peanut Butter M&M's contains 74 yellow candies; write a 95% confidence statement…

A: In this case, the confidence level is 95%. The 95% confidence interval for the proportion/percentage…

Q: A study of 420,054 cell phone users found that 132 of them developed cancer of the brain or nervous…

A:

Q: Of 125 adults selected randomly from one town, 28 of them smoke. Construct a 99% confidence interval…

A: It is given that out of 125 adults in one town, 28 of them smoke. That is the value of n is 125 and…

Q: Thirteen out of the 137 randomly selected faculty members who were surveyed at a community college…

A: Obtain the 90% confidence interval for the proportion of all faculty member at the community college…

Q: what would be the 90% confidence interval of the true proportion of young adults who have received…

A: Given that sample size is n = 190 And the sample proportion is 70% = 0.7 At 90% confidence level,…

Q: A study of 420,082 cell phone users found that 135 of them developed cancer of the brain or nervous…

A: Proportion is almost similar to the concept of probability. Proportion is a fraction of population…

Q: In a study of the accuracy of fast food drive-through orders, McDonald’s had 35 orders that were not…

A: x be the number of number of orders that were not accurate from McDonald's and Burger king x1=35…

Q: Suppose that a random sample of 142 graduate-admissions personnel was asked what role scores on…

A: Given : Random sample of 142 graduate-admissions personnel Sample size (n)=142 Let X : No. of…

Q: (a) and (b). a. Use the sample data to construct a 90% confidence interval estimate of the…

A: Given Data Sample Size, n = 420087 Number of successes, x = 135.0 confidence…

Q: a survey of 3088 adults aged 57 through 85​ years, it was found that 87.1​% of them used at least…

A: The formula for computing confidence interval is,  n is the sample size and P is the proportion.

Q: a. Use the sample data to construct a 95% confidence interval estimate of the percentage of cell…

A: Given that Sample size n = 420078 Number of cell phone user who developed cancer, X = 130 The…

Q: Of 127 randomly selected adults, 31 were found to have high blood pressure. Construct a 95%…

A: Given that, Of 127 randomly selected adults, 31 were found to have high blood pressure.  X = 31 N =…

Q: A poll of 827 students at Alpha state college found that 61% of those polled preferred a quarter…

A: It is given that the proportion of the students who preferred a quarter system to a trimester…

Q: deprivation by the Centers for Disease Control and Prevention, the proportion of California…

A:

Q: A recent survey showed that from a sample of 500 packages delivered by a Postal Service, 480 were…

A:

Q: A recent survey showed that from a sample of 500 packages delivered by a Postal Service, 480 were…

A: Given data X = 480 Sample size (n) = 500

Q: Calculate the 95% confidence interval for the Odds Ratio for the hemoglobin level. Be sure to state…

A: Odd ratio is a association between the exposure and outcome. It is the measure of association for…

Q: In a clinical trial, 50 patients who received a new medication are randomly selected. It was found…

A: Solution: Let X be the number of patients suffered serious side effects from this new medication and…

Q: In 2010, the National Football league adopted new rules designed to limit head injuries. In a survey…

A: Given info: Here, n=2,096, p-cap=0.58 (=1216/2096) This is an Estimation problem. The method is…

Q: in a survey of 499 randomly selected gun owners, it was found that 62 of them said they owned a gun…

A:

Q: n a randomly selected group of 750 automobile deaths, 240 were alcohol related. Construct a 95%…

A: Given that,  x = 240, n = 750 The value of sample proportion is,

Q: in a random sample of 800 austin automobile owners, it was found that 480 would like to see the size…

A: We have to find given ci.

Q: search for the Ford Motor Company, you find that a random sample of 800 households includes 721 in…

A: At 98% confidence level, the z value is 2.33 which can be obtained by using the standard normal…

Q: in a random sample of 60 students from a very large university, only 25% were able to identify…

A: Given Sample size n=60, sample proportion p^=0.25  Construct 95% CI for population proportion p

Q: mong 1815 randomly selected high school students surveyed by the Centers for Diseases Control, 300…

A: Given : Total number of high school students = 1815 Number of students said they were current…

Q: study of 420,008 cell phone users found that 137 of them developed cancer of the brain or nervous…

A:

Q: Out of 54 randomly selected patients of a local hospital who were surveyed, 42 reported that they…

A: Given that, The total patients n are 54 and the total patients who were satisfied x are 42.

Q: Construct a 95% confidence interval for the proportion of all mechanically ventilated patients at…

A: From provided information, a study examined patients who were mechanically ventilated in intensive…

Q: A genetic experiment with peas resulted in one sample of offspring that consisted of 425 green peas…

A:

Q: In a random sample of 575 American goods, about 46.3% of them were transported by rail in 2017.…

A: Given,   Sample size = 575 Sample proportion = 0.463   Critical value: Using z-table, the z-critical…

Q: In a randomly selected group of 650 automobile deaths, 180 were alcohol-related. Construct a 95%…

A:

Q: A sanatorium conducted a study on 3,500 women over 35 years of age, of whom 220 reported having…

A: Step 1: State the given data: number of favorable cases, x = 220sample size, n = 3500confidence…

Q: A random sample of 400 people is selected from Atlantic Canada. They are asked about their views on…

A: According to the given information, we have Given that a random sample of 400 people is selected…

Q: A study of 420,007 cell phone users found that 136 of them developed cancer of the brain or…

A: Given, n = 420007 X = 136 p^ = Xn = 136420007 = 0.000324 Confidence level = 0.90     To find, a. 90%…

Q: In a random survey of 2221 North Americans 689 of them had blood type A+. Construct a 94% Confidence…

A:

Q: In a random sample of 250 high school students, it was found that 85.2% (213) of them later…

A:

Q: study of 420,077 cell phone users found that 133 of them developed cancer of the brain or nervous…

A: Find z-critical value: For the two-tail test, Area on each tail. Area to the left of the normal…

Q: n a trial of 350 patients who received 10-mg doses of a drug daily, 49 reported headache as a side…

A: 350 patients who received 10-mg doses of a drug daily; n=350 49 reported headache as a side effect;…

Q: A Gallup poll of 1487 adults showed that 43% of the respondents have Facebook pages.  Construct a…

A: Confidence Interval: In statistics, we can say a range of values of the specified population…

Types of Bias

Statistics is the study of data collection, organization, analysis, interpretation, and presentation. Statistical bias is a characteristic of a statistical technique or its findings in which the expected value deviates from the actual root quantitative parameter being estimated. According to the actual definition of bias, it refers to the tendency of a statistic to overestimate or underestimate a parameter.