Question

A large Software company gives job applicants a test of programing ability and the mean for that testhas been 180 in the past with a population std. dev. of 20. A random sample from 35 applicantsshows a mean of 183. Use a 0.5 level of significance to test the claim that this sample comes from apopulation with a mean greater than 180.

Answer #1

A large software company gives job applicants a test of
programming ability and the mean for the test has been 160 in the
past. Twenty-five job applicants are selected from one large
university and they produce a mean score and standard deviation of
183 and 12, respectively. Use a 0.05 level of significance to test
the claim that this sample comes from a population with a mean
score greater than 160.

A large software company gives job applicants a test of
programming ability and the mean for that test has been 182 in the
past. Twenty five job applicants are randomly selected, and they
produce a sample mean score of 186 and a sample standard deviation
of 12. Use a 5% level of significance to test the claim that this
sample comes from a population with a mean score greater than 182.
Assume the distribution is normally distributed.(Round to two
decimal...

A large software company gives job applicants a test of
programming ability and the mean for that test has been 160 in the
past. Twenty-five job applicants are randomly selected from a large
university and they produce a mean score of 183 and a standard
deviation of 12. Use a 5% significance level and the
critical-value method to test whether the mean
score for students from this university is greater than 160. Assume
the population is normally distributed. Correctly state...

A large software company gives job applicants a test of
programming ability and the mean for that test has been 160 in the
past. Assume that the test scores are normally distributed.
Twenty-five job applicants are randomly selected from one large
university and they produce a mean score and standard deviation of
168 and 12, respectively. Use a 0.05 level of significance to test
the claim that this sample comes from a population with a mean
score greater than 160....

A factory hiring people to work on an assembly line gives job
applicants a test of manual agility. This test counts how many
strangely shaped pegs the applicant can fit into matching holes in
a one-minute period. The table below summarizes data collected for
90 applicants - 45 men and 45 women:
Male
Female
n
45
45
Mean
20.05
17.34
Std Dev
2.708
3.65
Find separate 90% confidence intervals for the average number of
pegs males and females can correctly...

In 1990, 5.8% of job
applicants who were tested for drugs failed the test.
A random sample of
1640 current job applicants results in 64 failures (based
loosely on
data from the
American Management Association).
At the α =
0.01 significance level, test the below claim (i.e.,
that the failure rate is now
lower)
HO: p =
0.058
HA: p <
0.058
a) Is this an
upper tail, lower tail, or
two-tail test?
b) Are we testing
means or proportions?...

A large manufacturing firm tests job applicants who recently
graduated from colleges. The test scores are normally distributed
with a mean of 500 and a standard deviation of 50. If an applicant
is selected at random, what is the probability that he/she has a
score between 438 and 604?

A large manufacturing firm tests job applicants. Test scores are
normally distributed with a mean of 500 and a standard deviation of
50.
-what proportion of people get scores between 400 and 600?
-What proportion of people get higher than 450?

Suppose the scores on a reading ability test are normally
distributed with a mean of 65 and a standard deviation of 8.
A) If one student is chosen at random, what is the probability
that the student's score is greater than 81 points"?
B) If 500 students took the reading ability test HOW MANY
students would expect to earn a score greater than 81 points?
c) Find the probability of randomly selecting 35 students (all
from the same class) that...

You are interested in on-the-job anxiety among police officers
and want to empirically test if the shift they work influences
their anxiety. You hypothesize that there is a difference in
anxiety on the job between police officers who work FIRST shift and
police officers who work THIRD shift. You collect data from a large
random sample of officers from both shifts. You find that the
average on-the-job anxiety for officers who work FIRST shift is
12.8 (std dev = 2.76),...

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