The magazine Tech Worx reported that 92% of software engineers rate the company they work for as "a great place to work." As a veteran headhunter, you claim the percentage given in the report is not correct. In a survey of 220 randomly chosen software engineers, 206 rated the company they work for as "a great place to work." Complete the parts below to perform a hypothesis test to see if there is enough evidence, at the 0.10 level of significance, to support your claim that the proportion, p, of all software engineers who rate the company they work for as "a great place to work" is not 92%. (a) State the null hypothesis Ho, and the alternative hypothesis H₁ that you would use for the test. Ho: H₁: р O□ □□ ロ=ロ □≠□ (b) For your hypothesis test, you will use a Z-test. Find the values of np and n (1-p) to confirm that a Z-test can be used. (One standard is that np≥10 and n (1-p)≥10 under the assumption that the null hypothesis is true.) Here n is the sample size and p is the population proportion you are testing. np= n(1-p)- (c) Perform a Z-test. Here is some information to help you with your Z-test. 20.05 is the value that cuts off an area of 0.05 in the right tail of the distribution. • The value of the test statistic is given by z = Standard Normal Distribution Step 1: Select one-tailed or two-tailed. One-tailed Two-tailed Step 2: Enter the critical value(s). (Round to 3 decimal places.) Step 3: Enter the test statistic. (Round to 3 decimal places.) p(1-p) 2 n 0.3- 0.2+ 0.1 2 (d) Based on your answer to part (c), choose what can be concluded, at the 0.10 level of significance, about your claim. Since the value of the test statistic lies in the rejection region, the null hypothesis is rejected. So, there is enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is not 92%. Since the value of the test statistic lies in the rejection region, the null hypothesis is not rejected. So, there is not enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is not 92%. Since the value of the test statistic doesn't lie in the rejection region, the null hypothesis is rejected. So, there is enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is not 92%. Since the value of the test statistic doesn't lie in the rejection region, the null hypothesis is not rejected. So, there is not enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is not 92%.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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Help please!!!! Parts a-d
The magazine Tech Worx reported that 92% of software engineers rate the company they work for as "a great place to work." As a veteran
headhunter, you claim the percentage given in the report is not correct. In a survey of 220 randomly chosen software engineers, 206 rated the
company they work for as "a great place to work."
Complete the parts below to perform a hypothesis test to see if there is enough evidence, at the 0.10 level of significance, to support your claim
that the proportion, p, of all software engineers who rate the company they work for as "a great place to work" is not 92%.
(a) State the null hypothesis Ho, and the alternative hypothesis H₁ that you would use for the test.
Ho:
H₁:
р
O<O
OSO
□>□
□□
ロ=ロ
□≠□
(b) For your hypothesis test, you will use a Z-test. Find the values of np and n (1-p) to confirm that a Z-test can be used. (One standard
is that np≥10 and n (1-p)≥10 under the assumption that the null hypothesis is true.) Here n is the sample size and p is the
population proportion you are testing.
np=
n(1-p)-
Transcribed Image Text:The magazine Tech Worx reported that 92% of software engineers rate the company they work for as "a great place to work." As a veteran headhunter, you claim the percentage given in the report is not correct. In a survey of 220 randomly chosen software engineers, 206 rated the company they work for as "a great place to work." Complete the parts below to perform a hypothesis test to see if there is enough evidence, at the 0.10 level of significance, to support your claim that the proportion, p, of all software engineers who rate the company they work for as "a great place to work" is not 92%. (a) State the null hypothesis Ho, and the alternative hypothesis H₁ that you would use for the test. Ho: H₁: р O<O OSO □>□ □□ ロ=ロ □≠□ (b) For your hypothesis test, you will use a Z-test. Find the values of np and n (1-p) to confirm that a Z-test can be used. (One standard is that np≥10 and n (1-p)≥10 under the assumption that the null hypothesis is true.) Here n is the sample size and p is the population proportion you are testing. np= n(1-p)-
(c) Perform a Z-test. Here is some information to help you with your Z-test.
20.05 is the value that cuts off an area of 0.05 in the right tail of the distribution.
• The value of the test statistic is given by z =
Standard Normal Distribution
Step 1: Select one-tailed or two-tailed.
One-tailed
Two-tailed
Step 2: Enter the critical value(s).
(Round to 3 decimal places.)
Step 3: Enter the test statistic.
(Round to 3 decimal places.)
p(1-p)
2
n
0.3-
0.2+
0.1
2
(d) Based on your answer to part (c), choose what can be concluded, at the 0.10 level of significance, about
your claim.
Since the value of the test statistic lies in the rejection region, the null hypothesis is rejected. So,
there is enough evidence to support the claim that the percentage of software engineers who rate
the company they work for as "a great place to work" is not 92%.
Since the value of the test statistic lies in the rejection region, the null hypothesis is not rejected.
So, there is not enough evidence to support the claim that the percentage of software engineers
who rate the company they work for as "a great place to work" is not 92%.
Since the value of the test statistic doesn't lie in the rejection region, the null hypothesis is
rejected. So, there is enough evidence to support the claim that the percentage of software
engineers who rate the company they work for as "a great place to work" is not 92%.
Since the value of the test statistic doesn't lie in the rejection region, the null hypothesis is not
rejected. So, there is not enough evidence to support the claim that the percentage of software
engineers who rate the company they work for as "a great place to work" is not 92%.
Transcribed Image Text:(c) Perform a Z-test. Here is some information to help you with your Z-test. 20.05 is the value that cuts off an area of 0.05 in the right tail of the distribution. • The value of the test statistic is given by z = Standard Normal Distribution Step 1: Select one-tailed or two-tailed. One-tailed Two-tailed Step 2: Enter the critical value(s). (Round to 3 decimal places.) Step 3: Enter the test statistic. (Round to 3 decimal places.) p(1-p) 2 n 0.3- 0.2+ 0.1 2 (d) Based on your answer to part (c), choose what can be concluded, at the 0.10 level of significance, about your claim. Since the value of the test statistic lies in the rejection region, the null hypothesis is rejected. So, there is enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is not 92%. Since the value of the test statistic lies in the rejection region, the null hypothesis is not rejected. So, there is not enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is not 92%. Since the value of the test statistic doesn't lie in the rejection region, the null hypothesis is rejected. So, there is enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is not 92%. Since the value of the test statistic doesn't lie in the rejection region, the null hypothesis is not rejected. So, there is not enough evidence to support the claim that the percentage of software engineers who rate the company they work for as "a great place to work" is not 92%.
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