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Lessons 6.3 - 6.4 Practice (due 3/18)

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18 questions
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This is a grade for the 4th 9 weeks.
This is a grade for the 4th 9 weeks.
Question 1
1.
Lesson 6.3
Dysplasia is a malformation of the hip socket that is very common in certain dog breeds and causes arthritis as a dog gets older. According to the Orthopedic Foundation for Animals, 11.6% of all Labrador retrievers have hip dysplasia.
A veterinarian tests a random sample of 50 Labrador retrievers and records
Y = the proportion of Labs with dysplasia in the sample.

a. What is the mean of the sampling distribution of Y? _______
b. What is the standard deviation of the sampling distribution of Y? _______ round to three places past the decimal.
Question 2
2.

Lesson 6.3:
Interpret the standard deviation from #1:
Make sure to check your notes.
I will grade this question by hand.

Question 3
3.

Question 4
4.
Lesson 6.3:
In a congressional district, 55% of registered voters are Democrats. A polling organization selects a random sample of 500 registered voters from this district.
Let x= the proportion of Democrats in the sample.

1. Calculate the mean proportion of the sampling distribution of the proportion of Democrats in the sample (x): _______
Enter your answer as a decimal rounded to two places.

2. Calculate the standard deviation of the sampling distribution of x: _______
Round to three places past the decimal.
Question 5
5.

Question 6
6.
Lesson 6.3:
Since it is appropriate to use the Normal Distribution for the scenario below:
In a congressional district, 55% of registered voters are Democrats. A polling organization selects a random sample of 500 registered voters from this district.
Let x= the proportion of Democrats in the sample.

What is the probability that not more than 59.6% of a sample of 500 registered voters are Democrats? _______
Use the Normal Distribution calculations we learned in Ch. 5 (hint: z score & blue chart). Keep all four decimal places.

What is the probability that at least 57% of the registered voters are Democrats? _______
Question 7
7.
A USA Today poll asked a random sample of 1012 U.S. adults what they do with the milk in their cereal bowl after they have eaten.
Let p-hat be the proportion of people in the sample who drink the cereal milk.
A spokesman for the dairy industry claims that 70% of all U.S. adults drink the cereal milk. Suppose this claim is true.
a. What is the mean of the sampling distribution for p-hat? _______
b. What is the standard deviation of the sampling distribution for p-hat? _______ Round to three places past the decimal.
Question 8
8.

Question 9
9.

Question 10
10.
Lesson 6.4:
Driving styles differ, so there is variability in the fuel efficiency of the same model automobile driven by different people. For a certain car model, the mean fuel efficiency is 23.6 miles per gallon with a standard deviation of 2.5 miles per gallon.
Take a simple random sample of 25 owners of this model and calculate the sample mean fuel efficiency .

1. What is the mean of the sampling distribution of sample means: _______
Do not include units.

2. Calculate the standard deviation of the sampling distribution of sample means: _______
Question 11
11.
Lesson 6.4:
One dimension of bird beaks is “depth”—the height of the beak where it arises from the bird’s head.
During a research study on one island in the Galapagos archipelago, the beak depth of all Medium Ground Finches on the island was found to be normally distributed with mean
μ = 9.5 millimeters and standard deviation σ = 1.0 millimeter.
A sample of 10 randomly selected Medium Ground Finches as collected and their beaks measured.
1. What is n? _______
2. What is the mean of the sampling distribution? _______
3. What is the standard deviation of the sampling distribution of sample means? _______
Round your answer to three places past the decimal.
Question 12
12.

Lesson 6.4:
Interpret the Sampling Distribution Standard Deviation of beak depths below:
(I will grade this myself)

Question 13
13.
Lesson 6.4:
Using the information on beak depths above:
What is the Normal Model notation for our sampling distribution of the sample means? _______

What is the probability that a sample of 10 finches will have a mean beak length that is less than 9 millimeters deep? _______
Keep all four decimal places.

What is the probability that the mean beak depth in 10 randomly selected Medium Ground Finches is at least 10.2 millimeters? _______
Keep all four decimal places.
Question 14
14.

Lesson 6.4:
How large would the sample size need to be to have a standard deviation of 0.25 instead of 0.316 for the sampling distribution of sample means for beak depth?
Remember, the population standard deviation = 1.0 mm.
Use the standard deviation formula, set it up to solve for the sample size (n).
** Use your algebra skills to solve for n!!

Question 15
15.
Lesson 6.4:
An automaker has found that the lifetime of its batteries varies from car to car according to a normal distribution with mean μ = 48 months and standard deviation σ = 8.2 months.
The company installs a new battery on an SRS of 8 cars.

1. What is the sample size? _______
2. What letter stands for the sample size? _______ (remember it is lower case)

3. What is the mean of the sampling distribution of sample means for battery lifetime? _______ do not include units

4. What is the standard deviation of the sampling distribution of the sample means for battery lifetime? _______
Round to three places past the decimal.
Question 16
16.
Lesson 6.4:
Using the information on battery lifetime sampling distribution:
What is the Normal Model for this scenario? _______

Find the probability that the sample mean battery life is less than 42.4 months: _______
Keep all four decimal places.

Find the probability that the sample mean battery life is more than 45 months: _______
Keep all four decimal places.
Question 17
17.

Lesson 6.4:
How large of a sample size would be needed to decrease the standard deviation from 2.899 to 1.5 for battery lifetime?
Remember the population standard deviation = 8.2 months.
Set up the formula for the standard deviation, use your algebra skills to solve for n!
Round to the nearest whole.

Question 18
18.
A company’s cereal boxes advertise that 9.65 ounces of cereal are contained in each box. In fact, the amount of cereal in a randomly selected box follows a normal distribution with mean μ = 9.70 ounces and standard deviation σ = 0.04 ounce.
What is the probability that the mean amount of cereal in 5 randomly selected boxes is at least 9.65?
a. n=_______
b. standard deviation for the sampling distribution = _______
c. What is the probability that the cereal boxes contain at least 9.65 ounces? _______
Lesson 6.3
Would it be appropriate to use a normal distribution to model the sampling distribution
of Y = the number of Labs with dysplasia in the sample?
Check the Large Counts Condition.
Justify your answer.

Select the four answers that explain.
Yes, the Large Counts Condition is met,
No, the Large Counts Condition is not met,
np > 10
n(1-p) > 10
n(1-p) < 10
np < 10
this tells us that the Sampling Distribution is nearly normal in shape.
this tells us that the Sampling Distribution can not be described as nearly normal in shape.
Lesson 6.3:
In a congressional district, 55% of registered voters are Democrats. A polling organization selects a random sample of 500 registered voters from this district.
Let x= the proportion of Democrats in the sample.

Would it be appropriate to use the Normal Distribution with the above situation?
Hint: is the Large Counts Condition met?
Select the four answers that explain.
Yes, the Large Counts Condition is met,
No, the Large Counts Condition is not met,
np > 10
n(1-p) > 10
n(1-p) < 10
np < 10
this tells us that the Sampling Distribution is nearly normal in shape.
this tells us that the Sampling Distribution can not be described as nearly normal in shape.
Lesson 6.3:
A USA Today poll asked a random sample of 1012 U.S. adults what they do with the milk in their cereal bowl after they have eaten.
Let p-hat be the proportion of people in the sample who drink the cereal milk.
A spokesman for the dairy industry claims that 70% of all U.S. adults drink the cereal milk. Suppose this claim is true.

Would it be appropriate to use the Normal Distribution with the above situation?
Hint: is the Large Counts Condition met?
Select the four answers that explain.
Yes, the Large Counts Condition is met,
No, the Large Counts Condition is not met,
np > 10
n(1-p) > 10
n(1-p) < 10
np < 10
this tells us that the Sampling Distribution is nearly normal in shape.
this tells us that the Sampling Distribution can not be described as nearly normal in shape.
Lesson 6.3: Testing a Claim
Of the poll respondents, 67% said that they drink the cereal milk. Based on your answer to #8, does this poll give convincing evidence that less than 70% of all U.S. adults drink the cereal milk?
Explain by finding the probability that 67% would drink the cereal milk then decide if this is unusual or not.
Hint: use the Normal Distribution calculations from Ch. 5
and do not give convincing evidence that less than 70% of all US adults drink their cereal milk.
98.12% is > 5%
1.88% < 5%
3% < 5%
The probability that 67% would drink the milk is 0.9812
The probability that 67% would drink the milk is 0.0188
The results of the poll are unusual
The results of the poll are not unusual
The probability that 67% would drink the milk is 3% less than 70%
and do give convincing evidence that less than 70% of all US adults drink their cereal milk.