Asked by Allison Bartley on May 03, 2024

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Some people who bought X-Game gaming systems complained about having received defective systems.The industry standard for such gaming systems has been 98% non-defective systems.In a sample of 120 units sold, 6 units were defective.
a.
Compute the proportion of defective items in the sample.
b.
b.
Compute the standard error of Some people who bought X-Game gaming systems complained about having received defective systems.The industry standard for such gaming systems has been 98% non-defective systems.In a sample of 120 units sold, 6 units were defective. a. Compute the proportion of defective items in the sample. b. b. Compute the standard error of   .  c. At a 5% level of significance using the critical value approach, test to see if the percentage of defective systems produced by X-Game has exceeded the industry standard. d. Show that the p-value approach results in the same conclusion as that of part .
c.
At a 5% level of significance using the critical value approach, test to see if the percentage of defective systems produced by X-Game has exceeded the industry standard.
d.
Show that the p-value approach results in the same conclusion as that of part

Standard Error

Refers to the standard deviation of the sampling distribution of a statistic, often used as an estimate of the precision of a sample mean or proportion.

Level of Significance

The predetermined threshold in hypothesis testing, below which the null hypothesis is rejected, indicating statistical significance.

Industry Standard

A set of criteria within an industry relating to the quality, safety, and performance of products and services accepted as the norm.

  • Understand how to set up null and alternative hypotheses for various statistical tests.
  • Understand the concept of p-value and its computation.
  • Determine the conclusion based on the p-value and the level of significance for hypothesis testing.
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MH
Marwa HajayMay 10, 2024
Final Answer :

a.
.05
b.
.0128
c.
Test statistic z = 2.35 > 1.645; reject H0; the number of defects has exceeded the industry standard.
d.
p-value (.0094) < .05; reject H0.