(1 point) Based on information from Diagnostic Tests with Nursing Implications,
ID: 3054036 • Letter: #
Question
(1 point) Based on information from Diagnostic Tests with Nursing Implications, Springhouse Corporation, for the population of healthy female adults, the mean red blood cell count (RBC) is 4.8 (millions of cells per cubic millimeter of whole blood). A researcher thinks the RBC is underestimated, so she conducts a test of significance using Null Hypothesis: u s 4.8 vs. Alternative Hypothesis: ? > 4.8. If the true mean RBC is 4.75 and the null hypothesis is rejected, what has occurred? A. No error has occurred B. Type II Error has occurred C. An error in the z-test statistic occurred D. Type I Error has occurred E. Can't tell without knowing the degrees of freedom 8. 9. (1 point) statistic of 1.45. Would you have the same conclusion if a 05 as you would with an a 10? A. True B. False You conduct a right-tailed one sample proportion test (with n>30) and find a z-test 10. (1 point) Suppose we want to test the hypothesis H.. ? = 5 vs. ?#5. Based on a random 2.32, what will be the correct statement about sample of size 15 we obtain the test statistic the p-value for this test? A. p-value -0.02 B. 0.02Explanation / Answer
(8)
This is the case of incorrect rejection of a null hypothesis which is actually true, so this is actually a type I error.
(9)
False, because when the value of significance level decreases, the chances of rejection of null hypothesis are also reduced.
(10)
The p-value for this test is:
p = 0.0359
So the correct option is:
(B) 0.02 < p < 0.05
(11)
First we calculate the weighted proportion as follows:
p = (p1*n1 + p2*n2)/(n1+n2) = (0.128*250 + 0.22*100)/(250+100) = 0.154
The standard error is calculated as:
SE = ( p*(1-p)/n1 + p*(1-p)/n2 )0.5 = ( 0.154*(1-0.154)/250 + 0.154*(1-0.154)/100 )0.5 = 0.0427
So the closest answer is 0.0465
Hope this helps !
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