A. Probability reasons from the population to the sample (deductive reasoni: inferential statistics reasons from the sample to the population (inductive reasonir B. Hypothesis testing and estimation by confidence intervals are the least impor inferential statistical procedures. C. In a probability problem, properties of the population under study are as unknown.
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- Refer to the sample data for pre-employment drug screening shown below. If one of the subjects is randomly selected, what is the probability that the test result is a false positive? Who would suffer from a false positive result? Why? Pre-Employment Drug Screening Results Positive test result Negative test result Drug Use Is Indicated Drug Use Is Not Indicated Subject Uses Drugs 37 12 Subject Is Not a Drug User 19 32 The probability of a false positive test result is nothing. (Round to three decimal places as needed.)Two different professors teach an introductory statistics course. The table shows the distribution of final grades they reported. We wonder whether one of these professors is an "easier" grader. Answer parts a) and b) below. Prof. Alpha Prof. Betal A 6. 11 B. 6. 14 12 Below C 11 4. 11 C.... a) Find the expected counts for each cell in this table. Prof. Alpha Prof. Beta (Round to two decimal places as needed.) A B Below C b) Test the hypothesis about the two professors, and state an appropriate conclusion. (Assume a significance level of a= 0.05) State the appropriate null and alternative hypotheses. Choose the correct answer below. O A. Ho: The grade distributions are different. HA: The grade distribution is the same for both professors. O B. Ho: The grade distribution is the same for both professors. Ha: Professor Beta gives out more C's than Professo Alpha. OC. H: The grade distribution is the same for both professors. HA: Professor Alpha gives out more A's than Professor Beta. OD.…Quasi-experimental designs classify cases by: a. manipulating independent variables of interest. b. using the naturally occurring status of participants. c. manipulating dependent variables of interest d. using random assignment
- Refer to the sample data for pre-employment drug screening shown below. If one of the subjects is randomly selected, what is the probability that the test result is a false positive? Who would suffer from a false positive result? Why? Pre-Employment Drug Screening Results Positive test result Negative test result Drug Use Is Indicated Drug Use Is Not Indicated Subject Uses Drugs 42 11 Subject Is Not a Drug User 2 29 The probability of a false positive test result is (Round to three decimal places as needed.) Who would suffer from a false positive result? Why? O A. The person tested would suffer because he or she would be suspected of using drugs when in reality he or she does not use drugs. B. The employer would suffer because the person tested would not be suspected of using drugs when in reality he or she does use drugs. C. The person tested would suffer because he or she would not be suspected of using drugs when in reality he or she does use drugs. D. The employer would suffer…You wish to test the following claim (H.) at a significance level of a = 0.005. You believe both populations are normally distributed, but you do not know the standard deviations for either. And you have no reason to believe the variances of the two populations are equal You obtain a sample - 19.1 from the first population. 7.1 from of size ni 23 with a mean of a1 You obtain a sample of size n2 the second population. 86.6 and a standard deviation of s1 20 with a mean of r2 96.5 and a standard deviation of s2 = a. What is the test statistic for this sample? test statistic = Round to 3 decimal places. b. What is the p-value for this sample? For this calculation, use p-value Use Technology Round to 4 decimal places.b. A manufacturer conducts a study to determine individuals who would like to own an iWatch. To collect the data, people are sent a survey via email. The following table summarises the data collected that relates to the peoples' gender. Male Female Total 32 ( ) 20 ( Want iWatch Don't Want iWatch 118 ( ) 120 ( Total i. Find all expected counts and add them to the table above. ii. Conduct an appropriate hypothesis test, at a 5% level of significance, to determine whether the desire to own an iWatch and the consumer's gender is not independent. )
- (5) You take a random sample from some population and form a 98% confidence interval for the population mean, a. Which quantity is guaranteed to be in the interval you form? A. 0 B. u C. D. 0.98A. The P-value of a test statistic in a right-tailed test is best described as B. the probability of obtaining a sample statistic at random no greater than the test statistic, given we assume the null hypothesis is true C. the probability of obtaining a sample statistic at random no greater than the test statistic, given we assume the null hypothesis is false D. the probability of obtaining a sample statistic at random at least as great as the test statistic, given we assume the null hypothesis is true the probability of obtaining a sample statistic at random at least as great as the test statistic, given we assume the null hypothesis is falseInferential statistics can be best described as A. carefully following a logical path to reach a conclusion from stated premises B. drawing samples from populations and describing the distributions of the sample data sets C.using samples to draw reasonable conclusions about the populations they are drawn from D. the mathematical underpinnings of randomness
- Need ASAP. Tyia:) 46. The following describes an alternative hypothesis except?A. It contradicts the null hypothesis.B. It is accepted once the null hypothesis is rejected.C. It states a specific difference between the variables.D. It states that the difference between two variables is not significant.47. Using 0.05 level of significance in testing hypothesis, what is the probability of accepting to commit an error in rejecting the null hypothesis? A. 1%B. 5%C. 95%D. 99% 48. What does level of significance mean in hypothesis testing?A. probability of calculating the hypothesized meanB. probability of not calculating the hypothesized meanC. probability of rejecting the null hypothesis when it is trueD. probability of not rejecting the null hypothesis when it is falseChoose the best answer to the given questions or statements. 1. It is the statistical method used in making decisions using experimental data. C. analytical testing D. hypothesis testing A. observation B. simple analysis 2. What term is being used to describe a proposed explanation, assertion, or assumption about a population parameter or about the distribution of a random variable? A. statistic B. decision C. hypothesis D. probability 3. Which of the following describes a null hypothesis using two-talled test? Α. Ho: μ μο C. Ho: u2 uo B. Ho: ut uo D. Ho: μ οunrest and violence on one southern campus had descreased by 62% from 10 years ago. four out of ten americans rush their teeth daily. which of the following is true regarding these two statements? A. these statements are derived from inductive statistics B. all of the given statements are sample parameters rather than population statistics C. statistics, from one of its definitions, constitutes a collection of such statements D. these types of statements are usually found to be examples of lying with statistics E. none of these is correct