A researcher randomly selected a sample of n = 500 individuals from a population with µ = 120 and administered an experimental treatment to the sample. What the researcher should expect if the treatment has no significant effect?
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A researcher randomly selected a sample of n = 500 individuals from a population with µ = 120 and administered an experimental treatment to the sample. What the researcher should expect if the treatment has no significant effect?
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- What is an experiment?Suppose an experiment finds that people taking a new herbal remedy get fewer colds than people taking a placebo. The results are statistically significant at the 0.01 level. Has the experiment proven that the herbal remedy works?A group of researchers wants to know whether men (population 1) are more likely than women (population 2) to contract a novel coronavirus. They surveyed two random samples of 490 men and 480 women who were tested and found that 52 men and 91 women in the samples tested positive. Can you conclude that the proportion of positive tests among men is less than the proportion of positive tests among women? Use level of significance 5%. Procedure: Select an answer Step 1. Hypotheses Set-Up: where Select an answer the Ho: Select an answer Select an answer and the units are Select an answer Ha: Select an answer , and the test is Select an answer Step 2. The significance level a (Round the answer to 3 Step 3. Compute the value of the test statistic: Select an answer decimal places) Step 4. Testing Procedure: (Round the answers to 3 decimal places) CVA PVA Provide the critical value(s) for the Rejection Region: Compute the P-value of the test statistic: left CV is and right CV is P-value is Step…
- A medical student at a community college in city Q wants to study the factors affecting the systolic blood pressure of a person (Y). Generally, the systolic blood pressure depends on the BMI of a person (B) and the age of the person A. She wants to test whether or not the BMI has a significant effect on the systolic blood pressure, keeping the age of the person constant. For her study, she collects a random sample of 150 patients from the city and estimates the following regression function: Y= 15.50 +0.90B + 1.10A. (0.48) (0.35) The test statistic of the study the student wants to conduct (Ho: B, =0 vs. H4: B, #0), keeping other variables constant is. (Round your answer to two decimal places.) At the 5% significance level, the student will v the null hypothesis. Keeping BMI constant, she now wants test whether the age of a person (A) has no significant effect or a positive effect on the person's systolic blood pressure. So, the test statistic associated with the one-sided test the…To examine the relationship between alcohol consumption and birth weight, a researcher selects a sample of n = 20 pregnant rats and mixes alcohol with their food for 2 weeks before the pups are born. One newborn pup is randomly selected from each subject’s litter and the average with weight for the n = 20 pups is recorded. It is known that the average birth weight for regular rats (without exposure to alcohol) is μ = 5.6 grams. What type of test would you use to test the hypothesis that alcohol consumption during pregnancy reduces birth weights? Would you use a one-tailed or two-tailed test? What would be an appropriate measure of effect size to report?A manufacturer claims that 10% of women using the "pill" suffer from side effects. The Federal Drug Administration (FDA) believes that the manufacturer's claim is too low and decides to test the manufacturer's claim at a = 5 %. A random sample of 900 women who use the manufacturer's pill shows that 103 suffer side effects. The sample proportion of women who suffer effects from the pill is: a. 0.1144 Ob. 1.444 OC. 0.1000 d. 0.0144 O e. 0.0743
- AttachedIn this study, ten combat veterans undergoing treatment for PTSD were randomly sampled from a local VA hospital in a study designed to test the efficacy of an anti-anxiety medication in reducing the symptoms of PTSD. Based on clinical animal trials, the researchers predict that the drug should reduce symptoms. t= 1.63, df=9, p=0.064, d= 0.529. Before: M= 48.100, SD=1.370, SE=0.433 After: M= 47.000, SD= 1.491, SE= 0.471 My hypotheses are; H0: μbefore ≤ μafter. H1: μbefore > μafter A. State your findings in APA format: B. How would you explain these findings to someone who has never taken a statistics class? In other words, use clear direct, non-jargon language to explain the results:just answer a-c
- Workers in the office like to drink coffee during work. A doctor is concerned about this situation since the too much coffee consumption may result to long-term health problems. However, studies suggests that there is no risk in drinking three cups of coffee per day, which is about 250 mg of caffeine. The doctor wants to know if the amount of caffeine consumed by the workers is within tolerable limits. He randomly selected 20 students and found that they consume an average of 270 mg of caffeine each day with a standard deviation of 48 mg. Assume that the daily amount of caffeine consumed by students follow the normal distribution.1. Which of the following sets of hypotheses should be used in this study? A. Ho: μ = 250 vs. Ha: μ > 250 B. Ho: μ ≤ 250 vs. Ha: μ > 250 C. Ho: μ = 270 vs. Ha: μ > 270 D. Ho: μ = 270 vs. Ha: μ ≠ 270 2. Which of the following is(are) TRUE? I. The appropriate test procedure to answer the objective of the study is a…What proportions of males and females wear a facemask while in a large parking lot? There is some evidence that the proportion of females wearing facemasks, pf , is different from the proportion of males wearing face masks, pm . We are going to examine this question by randomly selecting n=900 males and m=800 females walking in parking lots and observing how many of the selected people are wearing masks. Let XM equal the number of males in our sample who wear masks. Let XF equal the number of females in our sample who wear masks. Suppose XM = 494 and XF = 494. Let pmhat be the sample proportion of males in our sample who wear masks. Let pfhat be the sample proportion of females in our sample who wear masks. Let pm be the (unknown) true proportion of males who wear masks in large parking lots. Let pf be the (unknown) true proportion of females who wear masks in large parking lots.a)Calculate an unbiased point estimate of pm . b) We wish to construct a 90 % classical confidence…A developmental psychologist would like to determine how much impulsivity changes for children from age 3 to age 4. A random sample of n = 15 3-year-old children and a second sample of n = 15 4-year-olds are obtained. Each child is rated by her or his primary caregiver on a questionnaire, with higher scores indicating higher levels of impulsivity. The average score for the older children was M = 41.1 with SS = 440 and the average for the younger children was M = 36.5 with SS = 410. Using these data answer the following. Which test is most appropriate for this situation? z-score test single-sample t-test independent samples t-test related-samples t-test