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The following is a set of hypotheses, some information from one or more samples, and a standard error from a randomization distribution.
Test 
H_(0):p=0.28 vs 
H_(a):p < 0.28 when the sample has 
n=900, and 
hat(p)=0.226 with 
SE=0.01.
Find the value of the standardized 
z-test statistic.
Round your answer to two decimal places.

z=

The following is a set of hypotheses, some information from one or more samples, and a standard error from a randomization distribution.\newlineTest H0:p=0.28 H_{0}: p=0.28 vs Ha:p<0.28 H_{a}: p<0.28 when the sample has n=900 n=900 , and p^=0.226 \hat{p}=0.226 with SE=0.01 S E=0.01 .\newlineFind the value of the standardized z z -test statistic.\newlineRound your answer to two decimal places.\newlinez= z=

Full solution

Q. The following is a set of hypotheses, some information from one or more samples, and a standard error from a randomization distribution.\newlineTest H0:p=0.28 H_{0}: p=0.28 vs Ha:p<0.28 H_{a}: p<0.28 when the sample has n=900 n=900 , and p^=0.226 \hat{p}=0.226 with SE=0.01 S E=0.01 .\newlineFind the value of the standardized z z -test statistic.\newlineRound your answer to two decimal places.\newlinez= z=
  1. Identify Formula: Identify the formula for the z-test statistic.\newlineThe z-test statistic is calculated using the formula: z=(p^p)/SEz = (\hat{p} - p) / \text{SE}.\newlineHere, p^\hat{p} is the sample proportion, pp is the proportion under the null hypothesis, and SE\text{SE} is the standard error.
  2. Plug in Values: Plug in the values into the formula. z=(0.2260.28)/0.01z = (0.226 - 0.28) / 0.01
  3. Calculate Z-test Statistic: Calculate the z-test statistic. z=0.0540.01=5.4z = \frac{-0.054}{0.01} = -5.4

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