4) A study of 12,000 cell phone users found that 125 of them developed cancer of the brain or nervous system. Write a 95% confidence statement for the percentage of all cell phone users who develop cancer of the brain or nervous system. МОЕ 3
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- Cranberry syrup is packaged using two production lines. A sample of 5 packs from the first line has a mean of 1.2 quarts with a standard deviation of O.02 quarts. A sample of 6 packs from the second line has a mean of 1.15 quarts with a standard deviation of 0.01 quarts. What is the value of the test statistic? * О 4 0.05 O 2 0.01What is the name of the most appropriate statistical / analysis to use to answer the question for the given study. Be specific.cdn.student.une.exam.us.netdban3D18sessi.. E STAT-101_FEX_2021_2_ Male Choose the correct answer for the following question: A company claim that the proportion of workers those are satisfied with their jobs is more than 0.70. If, in randomly selected sample of 120 worken, 96 saying that they are satisfied with their jobs. The sample 27 - 30 62do -> a0.70, 0.96 b 0.70, 0.80 ce362do C 0.80,0.70 d. 0.96, 0.70 ce362dch017 ce362dcf9 ce3628c7s ce362dcf917 MacBook Pro ce362dcf917 ce362def9 00 O0
- *Please do in Excel A clinical trial is conducted to compare an experimental medication to placebo to reduce the symptoms of asthma. Two hundred participants are enrolled in the study and randomized to receive either the experimental medication or placebo. The primary outcome is self-reported reduction of symptoms. Among 100 participants who receive the experimental medication, 38 report a reduction of symptoms as compared to 21 participants of 100 assigned to placebo. Test if there is a significant difference in the proportions of participants reporting a reduction of symptoms between the experimental and placebo groups. Use alpha=0.05.You are a medical researcher that wants to determine if your new drug can lower people's blood pressure. You recruit 60 participants with high blood pressure to be part of your study. You randomly assign participants to one of three groups to receive either 10 mg of your drug, 5 mg, or 0 mg (given as a placebo control). After 2 weeks, participants' blood pressure is measured and you compare among the 3 groups. Which statistical test would be best to determine if there is a significant difference in blood pressure among the three groups?A recent study revealed that the average weight of babies born in the United States is normally distributed with a mean of 7.5 pounds. This number is lower than recent years and so researchers are interested in determining what factors are associated with lower birth weights. One researcher decides to look at the age of the mother to determine if younger mothers have babies that are significantly heavier or lighter than average. To study this the researcher collects data from 87 babies who were born to mothers between the ages of 16 and 18. Only one baby was measured per mother. Twins and other multiple births were excluded. The average weight for these babies was 7.3 pounds with a standard deviation of .6 pounds. Was the average weight of babies of young mothers significantly different than babies in the general population? No, the difference was not significant Yes, they were lighter. Yes, they were heavier
- Suppose that Kim is a participant in a study that compares several coaching methods to see how they affect math Scholar Aptitude Test (SAT) scores. The grand mean of math SAT scores for all participants (My) in the study is 550. The group that Kim participated in had a mean math SAT score of 565. Kim’s individual score on the math SAT was 610. What was the estimate residual component (of Kim’s score, that is, the part of Kim’s score that was not related to the coaching method? (Both parts of this question call for specific numerical values as answers). What was that “effect” (ai) component of Kim's score? What pattern in grouped data would make SSwithin = 0? What pattern within data would make SSbetween = 0?Separate random samples were collected by a polling agency to investigate the difference in employee satisfaction at non-profit organizations and at for-profit companies. Data collected from 424 employees at non-profit organizations revealed that 373 of them were "highly satisfied." From the for-profit companies, 433 out of 524 employees reported the same level of satisfaction. Researchers want to test if the proportions of satisfied employees are the same at for-profit companies as at non-profit companies. Complete parts a through c below. a) What is the difference in the proportions of the two types of companies? Assume p, is the proportion of satisfied non-profit employees and p, is the proportion satisfied for-profit employees. The difference in the sample proportions, p, -P2, is (Round to three decimal places as needed.) b) What is the value of the Z-statistic? Write the appropriate hypotheses. Let p, be the proportion of satisfied employees from non-profit organizations. Let p,…8. In late 2020, a poll was conducted to determine the proportion of American adults that subscribed to a TV or movie streaming service since January 2020. The surveyors randomly selected 2200 American adults. The results are shown in the relative frequency table below. Response Frequency Subscribed to at least one 794 Did not subscribe to a new one 1406 Given this information, we want to create a 95% confidence interval to estimate the proportion of American adults that subscribed to a TV or movie streaming service since January 2020. a. What is the value of the point estimate for our 95% confidence interval? b. What is the margin of error for our 95% confidence interval? (Use the formula to compute it). Round your answer to three decimal places. C. Using your answers to parts (a) and (b), find a 95% confidence interval estimating the proportion of American adults that subscribed to a TV or movie streaming service since January 2020.
- A researcher believes that among the residents of a remote community, 30% have type O blood, 50% have type A blood, 10% have type B blood and 10% have type AB blood. She takes a random sample of 80 residents and finds that 20 had type O blood, 40 had type A blood, 12 had type B blood and 8 had type AB blood. Do the data follow the hypothesized distribution of blood type for this community? Test at a = .05. Round your answers to three decimal places, if necessary. Null hypothesis: Ho: Po = 0.3, PA = 0.5, PB = 0.1, PAB = 0.1 20 40 12 8 80 80 80 80 1 1 1 20 40 8 Ho: Po = Ho: Po = Alternative hypothesis: Ho: Po = PA = PB = PAB = Ha: po # Type O 1 Ha: Po PA PB = PAB = 4 20 › PA = PA = Type 0 20 24 40 80 80 Ha: Po 0.3, PA # 0.5, PB At least one of the proportions is different. Complete the table of observed counts: Type O , PA # 0.667 Type A PB = PB = 40 Type A 40 What is the test statistic? 2.667 1 ,PB # 0 , PAB = 1 12¹ PAB Complete the table of expected counts under the null hypothesis: 12…State the null and alternative hypothesis if I claim that the mean lifespan of African elephants is 59 or less.z stat please A survey of 1000 adults from a certain region asked, "If purchasing a used car made certain upgrades or features more affordable, what would be your preferred luxury upgrade?" The results indicated that 58% of the females and 51% of the males answered window tinting. The sample sizes of males and females were not provided. Suppose that of 600 females, 348 reported window tinting as their preferred luxury upgrade of choice, while of 400 males, 204 reported window tinting as their preferred luxury upgrade of choice. Complete parts (a) through (d) below. a. Is there evidence of a difference between males and females in the proportion who said they prefer window tinting as a luxury upgrade at the 0.05 level of significance? State the null and alternative hypotheses, where π1 is the population proportion of females who said they prefer window tinting as a luxury upgrade and π2 is the population proportion of males who said they prefer window tinting…