For a hypothesis test of a single population mean with known population standard deviation (o), we can use either Geogebra or Minitab. In Geogebra, use the "Statistics" tab in the Probability Calculator in Geogebra. If needed, click the drop-down menu near the top and select "Z Test of a Mean" (this is the default). In Minitab, use Stat > Basic Statistics > 1 sample Z. Select Summarized Data from the drop-down menu. Check mark "Perform Hypothesis Test" and enter the hypothesized value. Click Options and select the appropriate alternative hypothesis. In either program, enter the sample mean, population standard deviation, and sample size. We'll use a sample with = 67.1, n= 36, and assume that o = 18.3 For a hypothesis test of Ho :H= 60 versus HA: µ> 60: • The given sample has a test statistic of • The P-value for the test is For a hypothesis test of Ho: µ = 70 versus HA: µ < 70: • The given sample has a test statistic of • The P-value for the test is For a hypothesis test of Ho :H= 70 versus HA: u # 70: The given sample has a test statistic of • The P-value for the test is

MATLAB: An Introduction with Applications
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Chapter1: Starting With Matlab
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For a hypothesis test of a single population mean with known population standard deviation (\(\sigma\)), we can use either GeoGebra or Minitab.

In GeoGebra, use the "Statistics" tab in the Probability Calculator in GeoGebra. If needed, click the drop-down menu near the top and select "Z Test of a Mean" (this is the default).

In Minitab, use Stat > Basic Statistics > 1 sample Z. Select Summarized Data from the drop-down menu. Check mark "Perform Hypothesis Test" and enter the hypothesized value. Click Options and select the appropriate alternative hypothesis.

In either program, enter the sample mean, population standard deviation, and sample size. We'll use a sample with \(\bar{x} = 67.1\), \(n = 36\), and assume that \(\sigma = 18.3\).

---

For a hypothesis test of \( H_0: \mu = 60 \) versus \( H_A: \mu > 60 \):

- The given sample has a test statistic of \([\text{input field}]\)
- The P-value for the test is \([\text{input field}]\)

---

For a hypothesis test of \( H_0: \mu = 70 \) versus \( H_A: \mu < 70 \):

- The given sample has a test statistic of \([\text{input field}]\)
- The P-value for the test is \([\text{input field}]\)

---

For a hypothesis test of \( H_0: \mu = 70 \) versus \( H_A: \mu \neq 70 \):

- The given sample has a test statistic of \([\text{input field}]\)
- The P-value for the test is \([\text{input field}]\)
Transcribed Image Text:For a hypothesis test of a single population mean with known population standard deviation (\(\sigma\)), we can use either GeoGebra or Minitab. In GeoGebra, use the "Statistics" tab in the Probability Calculator in GeoGebra. If needed, click the drop-down menu near the top and select "Z Test of a Mean" (this is the default). In Minitab, use Stat > Basic Statistics > 1 sample Z. Select Summarized Data from the drop-down menu. Check mark "Perform Hypothesis Test" and enter the hypothesized value. Click Options and select the appropriate alternative hypothesis. In either program, enter the sample mean, population standard deviation, and sample size. We'll use a sample with \(\bar{x} = 67.1\), \(n = 36\), and assume that \(\sigma = 18.3\). --- For a hypothesis test of \( H_0: \mu = 60 \) versus \( H_A: \mu > 60 \): - The given sample has a test statistic of \([\text{input field}]\) - The P-value for the test is \([\text{input field}]\) --- For a hypothesis test of \( H_0: \mu = 70 \) versus \( H_A: \mu < 70 \): - The given sample has a test statistic of \([\text{input field}]\) - The P-value for the test is \([\text{input field}]\) --- For a hypothesis test of \( H_0: \mu = 70 \) versus \( H_A: \mu \neq 70 \): - The given sample has a test statistic of \([\text{input field}]\) - The P-value for the test is \([\text{input field}]\)
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