One Sample Test 15 Ptsa The Owner Of A Local Nightclub

One Sample Test 15 Ptsa The Owner Of A Local Nightclub Has Rec

One Sample Test 15 Ptsa The Owner Of A Local Nightclub Has Rec

The owner of a local nightclub conducted a survey with a random sample of 250 customers to determine if the mean age exceeds 30 years. The sample mean age was found to be 30.45 years with a standard deviation of 5 years. The owner wishes to be 99% confident in her decision to assess whether the average customer age is over 30, which informs her planned entertainment adjustments.

Additionally, a major DVD rental chain is contemplating opening a new store in an area without existing stores. To decide, they survey 300 households and find that 96 have DVD players, thus testing whether more than 5,000 of 20,000 households are equipped with DVD players.

Sample Paper For Above instruction

Introduction

Statistical hypothesis testing provides a key tool to inform business and community decisions. Whether assessing customer demographics or evaluating new market locations, accurate interpretation of sample data is essential. In this paper, we analyze the two scenarios: the nightclub owner's inquiry into customer age demographics and the DVD rental chain's investigation of market readiness based on household DVD player ownership.

Case 1: Nightclub Customer Age Analysis

The nightclub owner’s primary question concerns whether the average age of her clientele exceeds 30 years. The sample data includes a sample mean (\(\bar{x}\)) of 30.45 years, a standard deviation (s) of 5 years, and a sample size (n) of 250. The hypotheses are formulated as follows:

  • Null hypothesis (\(H_0\)): \(\mu \leq 30\) years
  • Alternative hypothesis (\(H_1\)): \(\mu > 30\) years

Given the sample data, the test statistic is calculated using the one-sample z-test for mean, because the population standard deviation is estimated from the sample:

\[

z = \frac{\bar{x} - \mu_0}{s / \sqrt{n}} = \frac{30.45 - 30}{5 / \sqrt{250}} \approx \frac{0.45}{0.316} \approx 1.42

\]

Using a standard normal distribution table, the critical z-value for a 99% confidence level (significance level \(\alpha = 0.01\)) in a one-tailed test is approximately 2.33. Since 1.42

Therefore, there is not enough statistical evidence to conclude that the mean age of customers exceeds 30 years. The owner may decide to retain current entertainment plans, as the data suggests the average customer age is likely around 30 or below.

Case 2: Market Readiness for DVD Store

The DVD rental chain's interest is in whether the proportion of households in the area owning DVD players exceeds 5,000 out of 20,000 households, which equates to 25%. The sample data shows 96 households with DVD players out of 300 surveyed, representing an observed proportion (\(\hat{p}\)) of:

\[

\hat{p} = \frac{96}{300} = 0.32

\]

The hypotheses for this test are:

  • Null hypothesis (\(H_0\)): \(p \leq 0.25\)
  • Alternative hypothesis (\(H_1\)): \(p > 0.25\)

The test statistic follows a z-distribution, calculated as:

\[

z = \frac{\hat{p} - p_0}{\sqrt{p_0 (1 - p_0) / n}} = \frac{0.32 - 0.25}{\sqrt{0.25 \times 0.75 / 300}} \approx \frac{0.07}{0.0249} \approx 2.81

\]

For a significance level of 0.05, the critical z-value for a one-tailed test is approximately 1.645. Since 2.81 > 1.645, we reject the null hypothesis.

This indicates strong evidence that more than 25% (or 5,000 of 20,000 households) in the area own DVD players. Hence, opening a new store in this area appears statistically justifiable based on the sample data.

Conclusion

Through hypothesis testing, the nightclub owner cannot confidently assert that her clientele's average age exceeds 30 at the 99% confidence level, implying she might not need to alter her entertainment to target an older crowd based solely on age. Conversely, the DVD rental chain's data provides compelling evidence that a significant portion of households possess DVD players, supporting the decision to establish a new store in the targeted community.

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