and finds a mean weight of 24.7 pounds. Test at a 3% level of significance to determine whether or not the food distribution company sends less than 26 pounds of fresh vegetables.
Inverse Normal Distribution
The method used for finding the corresponding z-critical value in a normal distribution using the known probability is said to be an inverse normal distribution. The inverse normal distribution is a continuous probability distribution with a family of two parameters.
Mean, Median, Mode
It is a descriptive summary of a data set. It can be defined by using some of the measures. The central tendencies do not provide information regarding individual data from the dataset. However, they give a summary of the data set. The central tendency or measure of central tendency is a central or typical value for a probability distribution.
Z-Scores
A z-score is a unit of measurement used in statistics to describe the position of a raw score in terms of its distance from the mean, measured with reference to standard deviation from the mean. Z-scores are useful in statistics because they allow comparison between two scores that belong to different normal distributions.
![A food distribution company claims that a restaurant
chain receives, on average, 26 pounds of fresh
vegetables on a daily basis. The standard deviation
of these shipments is known to be 4.4 pounds. The
district manager of the restaurant chain decides to
randomly sample 35 shipments from the company
and finds a mean weight of 24.7 pounds. Test at a 3%
level of significance to determine whether or not the
food distribution company sends less than 26 pounds
of fresh vegetables.
a. Check the TWO requirements that are
satisfied.
The Central Limit Theorem applies.
The a distribution is normal since
n > 30.
The a distribution is normal since the x
distribution is normal.
The p distribution is normal since
np > 5 and nq > 5.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F121089f5-c043-4b6f-9d39-323ed3bb7fc0%2Ff9a787e9-332a-4362-a93c-e3a661df547e%2Fwclep3_processed.jpeg&w=3840&q=75)
![b. Identify the null and alternative hypotheses.
Ho: Select an answer v
?
HA: Select an answer
?
c. What type of hypothesis test should you
conduct?
| left-tailed
right-tailed
two-tailed
d. Identify the appropriate significance level.
Make sure to enter your answer as a decimal.
e. Find the test statistic. Give your answer to 2
decimal places.
f. Find the p-value. Give your answer to 4
decimal places.
g. Select your decision.
O reject the null hypothesis Ho, since p-
value < a
fail to reject the null hypothesis Ho,
since p-value > a
reject the null hypothesis Ho, since p-
value > a
fail to reject the null hypothesis Ho,
since p-value < a
h. Select the statement below that best
represents the interpretation of the findings.
There is sufficient evidence to support
the claim that the food distribution
company sends less than 26 pounds of
fresh vegetables daily.
| There is not sufficient evidence to
support the claim that the food
distribution company sends less than 26
pounds of fresh vegetables daily.
The sample data does not support but
also does not discredit that the food
distribution company sends 26 pounds of
fresh vegetables daily.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F121089f5-c043-4b6f-9d39-323ed3bb7fc0%2Ff9a787e9-332a-4362-a93c-e3a661df547e%2Fobc3xu_processed.jpeg&w=3840&q=75)
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