Question

The amount of fill (weight of contents) put into a glass jar of
spaghetti sauce is normally distributed with mean *μ* = 841
grams and standard deviation of *σ* = 14 grams.

(a) Describe the distribution of *x*, the amount of fill
per jar.

skewed right normal skewed left chi-square

(b) Find the probability that one jar selected at random contains
between 836 and 856 grams. (Give your answer correct to four
decimal places.)

(c) Describe the distribution of *x*, the mean weight for a
sample of 30 such jars of sauce.

skewed right normal skewed left chi-square

(d) Find the mean of the *x* distribution. (Give your answer
correct to the nearest whole number.)

(ii) Find the standard error of the *x* distribution. (Give
your answer correct to two decimal places.)

(e) Find the probability that a random sample of 30 jars has a mean
weight between 836 and 856 grams. (Give your answer correct to four
decimal places.)

Answer #1

The amount of fill (weight of contents) put into a glass jar
of spaghetti sauce is normally distributed with mean μ = 855 grams
and standard deviation of σ = 15 grams.
(a) Describe the distribution of x, the amount of fill per
jar.
skewed right
normal
skewed left
chi-square
(b) Find the probability that one jar selected at random
contains between 841 and 862 grams. (Give your answer correct to
four decimal places.)
(c) Describe the distribution of...

The amount of fill (weight of contents) put into a glass jar
of spaghetti sauce is normally
distributed with mean μ = 854 grams and standard deviation of
σ = 12 grams.
(e) Find the probability that a random sample of 30 jars has a
mean weight
between 844 and 858 grams. (Give your answer correct to four
decimal places.)
(with step by step please)

Consider the approximately normal population of heights of male
college students with mean μ = 69 inches and standard deviation of
σ = 3.6 inches. A random sample of 10 heights is obtained.
(a) Describe the distribution of x, height of male college
students. skewed right approximately normal skewed left
chi-square
(b) Find the proportion of male college students whose height is
greater than 71 inches. (Give your answer correct to four decimal
places.)
(c) Describe the distribution of x,...

The local bakery bakes more than a thousand 1-pound loaves of
bread daily, and the weights of these loaves varies. The mean
weight is 1.2 lb. and 2 oz., or 601 grams. Assume the standard
deviation of the weights is 25 grams and a sample of 46 loaves is
to be randomly selected.
(a) This sample of 46 has a mean value of x, which belongs to
a sampling distribution. Find the shape of this sampling
distribution.
skewed right
approximately...

The local bakery bakes more than a thousand 1-pound loaves of
bread daily, and the weights of these loaves varies. The mean
weight is 1.1 lb. and 4 oz., or 612 grams. Assume the standard
deviation of the weights is 26 grams and a sample of 50 loaves is
to be randomly selected.
(a) This sample of 50 has a mean value of x, which
belongs to a sampling distribution. Find the shape of this sampling
distribution.
skewed right
approximately...

The local
bakery bakes more than a thousand 1-pound loaves of bread daily,
and the weights of these loaves varies. The mean weight is 1.2 lb.
and 2 oz., or 601 grams. Assume the standard deviation of the
weights is 25 grams and a sample of 46 loaves is to be randomly
selected.
(a) This
sample of 46 has a mean value of x, which
belongs to a sampling distribution. Find the shape of this sampling
distribution.
skewed
rightapproximately
normal skewed...

JKESTAT11 7.E.035.
MY NOTES
ASK YOUR TEACHER
Consider the approximately normal population of heights of
male college students with mean μ = 67 inches and standard
deviation of σ = 4.5 inches. A random sample of 13 heights is
obtained.
(a) Describe the distribution of x, height of male college
students.
skewed left
approximately normal
chi-square
skewed right
(b) Find the proportion of male college students whose height
is greater than 71 inches. (Round your answer to four decimal
places.)...

Consider the approximately normal population of heights of male
college students with mean μ = 72 inches and standard
deviation of σ = 3.2 inches. A random sample of 21 heights
is obtained.
(a) Describe the distribution of x, height of male
college students.
skewed rightapproximately
normal chi-squareskewed left
(b) Find the proportion of male college students whose height is
greater than 74 inches. (Round your answer to four decimal
places.)
(c) Describe the distribution of x, the mean of samples...

1. A university with a high water bill is interested in
estimating the mean amount of time that students spend in the
shower each day. In a sample of 11 students, the average time was
5.33 minutes and the standard deviation was 1.33 minutes. Using
this sample information, construct a 99% confidence interval for
the mean amount of time that students spend in the shower each day.
Assume normality.
a) What is the lower limit of the 99% interval? Give...

Suppose a simple random sample of size nequals36 is obtained
from a population that is skewed right with mu equals 81 and sigma
equals 6.
(a) Describe the sampling distribution of x overbar.
(b) What is Upper P left parenthesis x overbar greater than
82.1 right parenthesis?
(c) What is Upper P left parenthesis x overbar less than or
equals 78.5 right parenthesis?
(d) What is Upper P left parenthesis 79.9 less than x overbar
less than 82.65 right parenthesis?...

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