identify the claim. Vitamin E pills, according to the claim. st's claim. P=39%P=39%, to be precise. st's claim. P#39%P#39%(two-tailed), to be precise.

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please help me answer d-g. the remaining quest. i already have answers from a-c. i reuploaded this fro the second time. please help

1. A survey in Men's Health magazine reported that 39% of cardiologists said that they
took vitamin E supplements. To see if this is still true, a researcher randomly
selected 100 cardiologists and found that 36 said that they took vitamin E
supplements. At a = 0.05, test the claim that 39% of the cardiologists took vitamin E
supplements. A recent study said that taking too much vitamin E might be harmful.
How might this make the results of the previous study invalid?
As a result, the interval's upper limit is such that 97.5%of the time it is below it.
za2=z0.025x1.96za2=z0.025x1.96 asa.consequence.
The critical values for both tail tests are ±1.96±1.96.
The following is a step-by-step approach for obtaining the sketch:
On the horizontal axis, plot the z values.
On the vertical axis, plot the density values.
Choose the position under the curve where the 0.025 area is located.
Choose the position under the curve where the 0.025 area is located
a. State the hypotheses and identify the claim.
Still, 39%39% of cardiologists take Vitamin E pills, according to the claim.
HO:HO:We can accept the cardiologist's claim. P=39%P=39%, to be precise.
0.4
Ha:Ha:We can accept the cardiologist's claim. P#39%P#39%(two-tailed), to be precise.
0.3
The following are the null and alternative hypotheses:
0.2
HO: p = 0.39, vs. H1: p + 0.39
0.1
b. Identify the statistical test to be used.
0.025
0.025
The statistic for a standardized sample test is,
z = (p° - plp (1 - p)]nvz= (p^ - p)[p (1 – p)]n, where pip^ is the population proportion
point estimate, p is the
d. Sketch a curve with the rejection and non-rejection region.
population proportion and n is the sample size.
Computer for the test value.
е.
f.
Make the decision.
The following is the test statistic:
g. Interpret the results.
(Ctrl)
z = (p° - plp (1- p)]nvz= (p^ - p)[p (1- p)]n [Where p is the indicated proportion
value in HOHO]
= (0.36 – 0.39) v [C0.39) (1 – 0.39)]100= (0.36 – 0.39) V [(0.39) (1 – 0.39)]100
2 -0.62.x -0.62.
The test statistic is -0.62-0.62.
c. Find for the critical value(s).
If 95% of the data must fall within a given interval, the remaining 5% must fall outside of it.
Furthermore, due to symmetry, 2.5 of the interval will be above the higher limit, while the
remaining 2.5% will be below the lower limit.
Transcribed Image Text:1. A survey in Men's Health magazine reported that 39% of cardiologists said that they took vitamin E supplements. To see if this is still true, a researcher randomly selected 100 cardiologists and found that 36 said that they took vitamin E supplements. At a = 0.05, test the claim that 39% of the cardiologists took vitamin E supplements. A recent study said that taking too much vitamin E might be harmful. How might this make the results of the previous study invalid? As a result, the interval's upper limit is such that 97.5%of the time it is below it. za2=z0.025x1.96za2=z0.025x1.96 asa.consequence. The critical values for both tail tests are ±1.96±1.96. The following is a step-by-step approach for obtaining the sketch: On the horizontal axis, plot the z values. On the vertical axis, plot the density values. Choose the position under the curve where the 0.025 area is located. Choose the position under the curve where the 0.025 area is located a. State the hypotheses and identify the claim. Still, 39%39% of cardiologists take Vitamin E pills, according to the claim. HO:HO:We can accept the cardiologist's claim. P=39%P=39%, to be precise. 0.4 Ha:Ha:We can accept the cardiologist's claim. P#39%P#39%(two-tailed), to be precise. 0.3 The following are the null and alternative hypotheses: 0.2 HO: p = 0.39, vs. H1: p + 0.39 0.1 b. Identify the statistical test to be used. 0.025 0.025 The statistic for a standardized sample test is, z = (p° - plp (1 - p)]nvz= (p^ - p)[p (1 – p)]n, where pip^ is the population proportion point estimate, p is the d. Sketch a curve with the rejection and non-rejection region. population proportion and n is the sample size. Computer for the test value. е. f. Make the decision. The following is the test statistic: g. Interpret the results. (Ctrl) z = (p° - plp (1- p)]nvz= (p^ - p)[p (1- p)]n [Where p is the indicated proportion value in HOHO] = (0.36 – 0.39) v [C0.39) (1 – 0.39)]100= (0.36 – 0.39) V [(0.39) (1 – 0.39)]100 2 -0.62.x -0.62. The test statistic is -0.62-0.62. c. Find for the critical value(s). If 95% of the data must fall within a given interval, the remaining 5% must fall outside of it. Furthermore, due to symmetry, 2.5 of the interval will be above the higher limit, while the remaining 2.5% will be below the lower limit.
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