example), create an exercise where you have to use the varianze. And create a hypothesis test.
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In a situation in an amazon package (for example), create an exercise where you have to use the varianze.
And create a hypothesis test.
Here we create example for hypothesis testing of variance.
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- Barry has several Christmas Cactus houseplants. He heard a rumor that they will bloom better if they are put in a dark room from October to November. What experiment could Barry design to test his hypothesis?Answer DPlease send me answer within 10 min!! I will rate you good for sure!! Please solve all the parts with explaination!! 1. A hospital introduces a new order-entry system and wishes to study the impact of this intervention on the number of medication-related adverse events before and after the intervention. Write a non-directional alternative hypothesis for this study. a. Dependent variable: b. Independent variable: c. Hypothesis:
- A company manufacturing CDs is working on a new technology. A random sample of 717 Internet users were asked "As you may know, some CDs are being manufactured so that you can only make one copy of the CD after you purchase it. Would you buy a CD with this technology, or would you refuse to buy it even ifit was one you would normaly buy?" Of hose usert, 56% responded that they would buy the CD. Complete parts a and b below a) Create a 90% confidence interval for this percentage 口口 (Round to three decimal places as needed, Use ascending order.)The proportion of Americans who have frequent migraines is 15.2% according to the CDC. An acupuncturist claims that her treatment can reduce this figure significantly. A random sample of 698 Americans is administered the acupuncturists treatment and 80 report experiencing migraines. I highly recommend you explore the possible errors with a contingency table, making note of the meaning of each possibility. Action Do not Reject Ho Reject Ho = True Ho: μ = 0.152 Ha: μ < 0.152 Ho is Actually a. Select the Null and Alternative Hypotheses to the scenario using the correct symbols. O Ho: p < 0.152 Ha: P 0.152 False Ho: p = 0.152 Ha: p < 0.152 b. Explain what a type 1 error is in this scenario. A type 1 error would be concluding that the migraine treatment cannot reduce occurence of frequent migraines when in fact it cannot. O A type 1 error would be concluding that the migraine treatment can reduce occurence of frequent migraines when in fact, it cannot. O A type 1 error would be concluding…Answer A, B1, and B2: A. The National Institute of Mental Health published an article stating that in any one-year period, approximately 9.5 percent of American adults suffer from depression or a depressive illness. Suppose that in a survey of 100 people in a certain town, seven of them suffered from depression or a depressive illness. Conduct a hypothesis test to determine if the true proportion of people in that town suffering from depression or a depressive illness is lower than the percent in the general adult American population. B. Researchers interested in lead exposure due to car exhaust sampled the blood of 52 police officers subjected to constant inhalation of automobile exhaust fumes while working traffic enforcement in a primarily urban environment. The blood samples of these officers had an average lead concentration of 124.32 µg/l and a SD of 37.74 µg/l; a previous study of individuals from a nearby suburb, with no history of exposure, found an average blood level…
- You are a paranoid delusional statistician with far too much time on your hands. One day, you sit down to have a bowl of soup. This bowl of soup happens to be Tic-Tac-Toe themed, meaning that you have some noodles that are shaped like an X, and some that are shaped like an O. As you stir your soup, you notice that this bowl seems to have a particularly high number of X- shaped noodles in it. Being paranoid, you conclude that this has some meaning like someone is trying to give you a message, possibly warning you of the dangers of x-rays. You jump out of your seat and run to get your x-ray-proof cape, and then you pause for a moment and think that you should calculate a chi-square statistic for the frequency of X-shaped noodles before freaking out. First, you carefully separate each of the noodles by shape and count them. Here is what you find: Frequency of Noodles X-shaped 33 O-shaped 21 2. Write out the null and alternative hypotheses using symbols: Но: На:Foofy obtained a significant Fobt from an experiment with five levels. She therefore concludes that changing every condition of the independent variable results in a significant change in the dependent variable. (a) Is she correct? Why or why not? (b) What must she now do?The mother of a teenager has heard a claim that 24% of teenagers who drive and use a cell phone reported texting while driving. She thinks that this rate is too high and wants to test the hypothesis that fewer than 24% of these drivers have texted while driving. Her alternative hypothesis is that the percentage of teenagers who have texted when driving is less than 24%. Ho: p= 0.24 Ha: p<0.24 She polls 50 randomly selected teenagers, and 6 of them report having texted while driving, a proportion of 0.12. The p-value is 0.023. Explain the meaning of the p-value in the context of this question. The p-value says that if the true proportion of teenagers who text while driving is then there is only a V probability that one would get a sample proportion of V or smaller with a sample size of
- USE THE 8-STEP HYPOTHESIS TESTING Refer to the study by Carter et al. [A-9], who investigated the effect of age at onset of bipolar disorder on the course of the illness. One of the variables studied was subjects' family history. Table 3.4.1 shows the frequency of a family history of mood disorders in the two groups of interest: early age at onset (18 years or younger) and later age at onset (later than 18 years). Family History of Mood Disorders Early ≤ 18(E) 28 19 41 53 Later > 18 (L) 35 38 44 60 141 Total 63 57 85 113 Negative (A) Bipolar disorder (B) Unipolar (C) Unipolar and bipolar (D) Total 177 318 Source: Tasha D. Carter, Emanuela Mundo, Sagar V. Parkh, and James L. Kennedy, "Early Age at Onset as a Risk Factor for Poor Outcome of Bipolar Disorder," Journal of Psychiatric Research, 37 (2003), 297-303. Can we conclude on the basis of these data that subjects 18 or younger differ from subjects older than 18 with respect to family histories of mood disorders? Let a = .05.For the model: Y= Bo + B1X1 + B2X2 + B3X3 + B4X4 + ɛ If sample size is n=30, what is the degree of freedom for Error? 4 5 29 25