ind the nypolnesis les with the standardized test statistic z. Decide whether to reject HO for the level of significance a. Left-tailed test z = -1.83 apha = 0.05 а. 0.0672; fail to reject HO b. 0.0672; гejеct HО С. 0.0336; reject HО d. 0.9664; fail to reject HO

Can you tell me what the solution would be to this one?

Please explain

Total blood volume (in ml) per body weight (in kg) is important in medical research.  For healthy adults, the red blood cell volume mean is about µ = 28 ml/kg with a standard deviation of 4.75ml/kg.  Red blood cells volume that is too low or too high can indicate a medical problem.    Suppose he does a hypothesis test with a significance level of 0.01.  Roger has had seven blood tests and the red blood cell volumes were: 32       25       41       35       30       37       29 Roger’s null hypothesis is that his blood tests are normal and that his alternative hypothesis is that something is wrong.  Symbolically, the null and hypotheses are as follows                         Ho: µ = 28 ml/kg and Hi: µ ≠ 28 ml/kg What value of the test statistic (z) should he report? (Sampling a Normal Distribution for the Mean µ)   Group of answer choices a. 0.99 b.2.42 c.2.62 d.2.22

select which of the three is correct

An electrician wants to know whether batteries made by two manufacturers have significantly different voltages. The voltage of 131 batteries from each manufacturer were measured. The population standard deviations of the voltage for each manufacturer are known. The results are summarized in the following table. Manufacturer Sample mean voltage (millivolts) Population standard deviat A 116 3 115 4 What type of hypothesis test should be performed? Right-tailed z-test v What is the test statistic? Ex: 0.12 Does sufficient evidence exist to support the claim that the voltage of the batteries made by the two manufacturers is different at the a = 0.01 significance level? Select v

A sample of 33 lights in Austin gives an average of 46 cars/min while the city SD=3.4 A sample of 34 Dallas lights give a mean of 44 cars/mim with the city SD=1.4 At the 91% level, do the towns differ? 1. Is the test (A-Left Tailed, B-Right Tailed, C-2-Tailed) (separate with comma if there are 2) 2. Critical Value 3. Test statistic 4. 3-decimal p-Value

Do men talk less than women? The table shows results from a study of the words spoken in a day by men and women. Assume that the two samples are randomly selected, independent, the population standard deviations are not know and not considered equal. At the 0.05 significance level, test the claim that the mean number of words spoken by men is less than the mean number of words spoken by women. Men Women n1 = 212 n2 = 218 xˉx̄1 = 15706.4 words xˉx̄2 = 15683.2 words s1 = 1595.44 words s2 = 1597.54 words What are the correct hypotheses? (Select the correct symbols and use decimal values not percentages.)H0: Select an answer μ₁ μ σ₁² x̄₂ p x̄₁ s₁² p̂₁ μ(men) p₂ p₁ μ₂  ? ≤ > ≥ = ≠ <  Select an answer μ₁ p₁ μ₂ x̄₂ σ₁² p̂₁ μ s₁² μ(women) p x̄₁ p₂ H1: Select an answer p̂₂ p s₂² σ₂² μ(men) μ μ₂ x̄₂ x̄₁ p₂ μ₁ p₁  ? < > = ≠ ≥ ≤  Select an answer μ₂ μ p₂ s₁² p₁ x̄₁ σ₁² p̂₁ p μ₁ x̄₂ μ(women)     Original Claim = Select an answer H₁ H₀ df =  Based on the hypotheses, find the…

PLEASE ONLY SELECT THE ANSWERS AS SHOWN FOR THE MULTIPLE CHOICE, SUCH AS OPTION 1, 2, ETC.   1) In a test of the effectiveness of garlic for lowering​ cholesterol, 49 subjects were treated with raw garlic. Cholesterol levels were measured before and after the treatment. The changes​ (before minus​ after) in their levels of LDL cholesterol​ (in mg/dL) have a mean of 0.8 and a standard deviation of 1.51. Use a 0.10 significance level to test the claim that with garlic​ treatment, the mean change in LDL cholesterol is greater than 0. What do the results suggest about the effectiveness of the garlic​ treatment? Assume that a simple random sample has been selected. Identify the null and alternative​ hypotheses, test​ statistic, P-value, and state the final conclusion that addresses the original claim. What are the null and alternative​ hypotheses? A. H0​: μ=0 mg/dL H1​: μ<0 mg/dL B. H0​: μ>0 mg/dL H1​: μ<0 mg/dL C. H0​: μ=0 mg/dL H1​: μ≠0 mg/dL D. H0​: μ=0 mg/dL H1​: μ>0 mg/dL…

Q5. With 0.05 significance level, H1: p > 0.5, and the value of test statistic is z = 1.93. Then theP-value is equal to 0.9732.a. Trueb. False