Question

(1 point) Weights of 10 red and 36 brown randomly chosen M{\&}M plain candies are listed...

(1 point)
Weights of 10 red and 36 brown randomly chosen M{\&}M plain candies are listed below.

Red: 0.9080.9090.9070.920.9360.8980.8980.8740.9130.9240.9080.9070.9360.8980.9130.9090.920.8980.8740.924
Brown: 0.9090.9150.9550.9140.9310.9090.9050.930.8570.8770.9660.9020.920.9040.8660.8710.8720.9280.9880.920.8580.8980.9360.9210.9850.8750.9290.90.9230.8610.8670.8760.9020.8970.9180.9130.9090.9050.920.9880.9850.8670.9150.930.9040.920.8750.8760.9550.8570.8660.8580.9290.9020.9140.8770.8710.8980.90.8970.9310.9660.8720.9360.9230.9180.9090.9020.9280.9210.8610.913
1.    To construct a 95% confidence interval for the mean weight of red M{\&}M plain candies, you have to use
A. The t distribution with 11 degrees of freedom
B. The normal distribution
C. The t distribution with 9 degrees of freedom
D. The t distribution with 10 degrees of freedom
E. None of the above
2.    A 95% confidence interval for the mean weight of red M{\&}M plain candies is
<μ<<μ<  
3.    To construct a 95% confidence interval for the mean weight of brown M{\&}M plain candies, you have to use
A. The normal distribution
B. The t distribution with 36 degrees of freedom
C. The t distribution with 35 degrees of freedom
D. The t distribution with 37 degrees of freedom
E. None of the above
4.    A 95% confidence interval for the mean weight of brown M{\&}M plain candies is
<μ<<μ<

(1 point)

Among the most exciting aspects of a university professor's life are the departmental meetings where such critical issues as the color the walls will be painted and who gets a new desk are decided. A sample of 20 professors was asked how many hours per year are devoted to such meetings. The responses are listed below. Assuming that the variable is normally distributed with a standard deviation of 6 hours, estimate the mean number of hours spent at departmental meetings by all professors. Use a confidence level of 94%.

6,10,13,7,13,5,4,7,15,15,6,4,22,9,15,16,17,5,18,146,13,13,4,15,6,22,15,17,18,10,7,5,7,15,4,9,16,5,14

Note: For each confidence interval, enter your answer in the form (LCL, UCL). You must include the parentheses and the comma between the confidence limits.

Confidence Interval =

(1 point)

The data below are the ages of a random sample of 8 men in a bar. It is known that the population of ages are normally distributed with a standard deviation of 9. Determine the 97% confidence interval estimate of the population mean.

53,66,25,37,56,43,28,4853,66,25,37,56,43,28,48

Note: For each confidence interval, enter your answer in the form (LCL, UCL). You must include the parentheses and the comma between the confidence limits.

Confidence Interval =

(1 point) The following random sample was selected from a normal distribution:

164811910410106164811910410106

(a)    Construct a 9090% confidence interval for the population mean μμ.
≤μ≤≤μ≤

(b)    Construct a 9595% confidence interval for the population mean μμ.
≤μ≤≤μ≤

(1 point)

The number of cars sold annually by used car salespeople is normally distributed with a standard deviation of 13. A random sample of 330 salespeople was taken and the mean number of cars sold annually was found to be 73. Find the 92% confidence interval estimate of the population mean.

Note: For each confidence interval, enter your answer in the form (LCL, UCL). You must include the parentheses and the comma between the confidence limits.

Confidence Interval =

(1 point)

How many rounds of golf do those physicians who play golf play per year? A survey of 12 physicians revealed the following numbers:

7,39,16,3,34,42,22,16,18,31,10,487,39,16,3,34,42,22,16,18,31,10,48

Estimate with 94% confidence the mean number of rounds played per year by physicians, assuming that the population is normally distributed with a standard deviation of 7.

Note: For each confidence interval, enter your answer in the form (LCL, UCL). You must include the parentheses and the comma between the confidence limits.

Confidence Interval =

(1 point) Periodically, the county Water Department tests the drinking water of homeowners for contminants such as lead and copper. The lead and copper levels in water specimens collected in 1998 for a sample of 10 residents of a subdevelopement of the county are shown below.

lead (μμg/L) copper (mg/L)
1.11.1 0.3780.378
0.10.1 0.7520.752
4.64.6 0.8210.821
5.65.6 0.2170.217
1.11.1 0.7530.753
5.75.7 0.0040.004
3.23.2 0.7260.726
1.51.5 0.3540.354
2.32.3 0.7320.732
2.62.6 0.3180.318

(a)    Construct a 9999% confidence interval for the mean lead level in water specimans of the subdevelopment.
≤μ≤≤μ≤

(b)    Construct a 9999% confidence interval for the mean copper level in water specimans of the subdevelopment.  
≤μ≤≤μ≤

(1 point) The scientific productivity of major world cities was the subject of a recent study. The study determined the number of scientific papers published between 1994 and 1997 by researchers from each of the 20 world cities, and is shown below.

City Number of papers City Number of papers
City 1 2323 City 11 1717
City 2 1616 City 12 33
City 3 55 City 13 2424
City 4 3030 City 14 2626
City 5 1818 City 15 2525
City 6 2626 City 16 2020
City 7 2525 City 17 44
City 8 1616 City 18 1919
City 9 1010 City 19 2424
City 10 2525 City 20 3030

Construct a 9797 % confidence interval for the average number of papers published in major world cities.

<μ<<μ<

Homework Answers

Answer #1

1:

Following is out put of descriptive statistics:

Descriptive statistics
Red Brown
count 10 36
mean 0.90870 0.90828
sample standard deviation 0.01687 0.03308
sample variance 0.00028 0.00109
minimum 0.874 0.857
maximum 0.936 0.988
range 0.062 0.131

1:

Here we have

Here population standard deviation is unknown so t-distrbution will be used. The degree of freedom:

df =n-1=9

Correct option:

C. The t distribution with 9 degrees of freedom

2:

Critical value of t for 95% confidence interval, using excel function "=TINV(0.05,9)", is 2.262.

The required confidence interval is

3:

Here we have

Here population standard deviation is unknown so t-distrbution will be used. The degree of freedom:

df =n-1=35

Correct option:

C. The t distribution with 35 degrees of freedom

4:

Critical value of t for 95% confidence interval, using excel function "=TINV(0.05,35)", is 2.030.

The required confidence interval is

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
A bag of M&M's is purchased, and the red and brown candies are individually weighed. The...
A bag of M&M's is purchased, and the red and brown candies are individually weighed. The following data is found for each color. For the 10 red candies, the weights are listed below. Build a 95% confidence interval for the mean weight of red M&M's plain candies: 0.909 0.983 0.952 0.913 0.891 0.877 0.933 0.908 0.897 0.912 0.909 0.952 0.891 0.933 0.897 0.983 0.913 0.877 0.908 0.912 For the 36 brown candies, the weights are listed below. Build a 95%...
10. For a particular scenario, we wish to test the hypothesis H0 : p = 0.52....
10. For a particular scenario, we wish to test the hypothesis H0 : p = 0.52. For a sample of size 50, the sample proportion p̂ is 0.42. Compute the value of the test statistic zobs. (Express your answer as a decimal rounded to two decimal places.) 4. For a hypothesis test of H0 : μ = 8 vs. H0 : μ > 8, the sample mean of the data is computed to be 8.24. The population standard deviation is...
Suppose you have selected a random sample of ?=14 measurements from a normal distribution. Compare the...
Suppose you have selected a random sample of ?=14 measurements from a normal distribution. Compare the standard normal ? values with the corresponding ? values if you were forming the following confidence intervals. (a)    90% confidence interval z= t= (b)    95% confidence interval z=   t= (c)    98% confidence interval ?= t= 2) A confidence interval for a population mean has length 20. a) Determine the margin of error. b) If the sample mean is 58.6, obtain the confidence interval. Confidence interval: ( ,...
1) You measure 28 turtles' weights, and find they have a mean weight of 75 ounces....
1) You measure 28 turtles' weights, and find they have a mean weight of 75 ounces. Assume the population standard deviation is 14.2 ounces. Based on this, construct a 99% confidence interval for the true population mean turtle weight. Give your answers as decimals, to two places ± ± ounces 2) Assume that a sample is used to estimate a population mean μ μ . Find the margin of error M.E. that corresponds to a sample of size 7 with...
The mean number of sick days an employee takes per year is believed to be about...
The mean number of sick days an employee takes per year is believed to be about 10. Members of a personnel department do not believe this figure. They randomly survey 8 employees. The number of sick days they took for the past year are as follows: 10; 5; 15; 5; 9; 10; 6; 9. Let X = the number of sick days they took for the past year. Should the personnel team believe that the mean number is about 10?...
An article in the San Jose Mercury News stated that students in the California state university...
An article in the San Jose Mercury News stated that students in the California state university system take 4.5 years, on average, to finish their undergraduate degrees. Suppose you believe that the mean time is longer. You conduct a survey of 43 students and obtain a sample mean of 5.1 with a sample standard deviation of 1.2. Do the data support your claim at the 1% level? Note: If you are using a Student's t-distribution for the problem, you may...
True or false? A larger sample size produces a longer confidence interval for μ. False. As...
True or false? A larger sample size produces a longer confidence interval for μ. False. As the sample size increases, the maximal error decreases, resulting in a shorter confidence interval.True. As the sample size increases, the maximal error decreases, resulting in a longer confidence interval.    True. As the sample size increases, the maximal error increases, resulting in a longer confidence interval.False. As the sample size increases, the maximal error increases, resulting in a shorter confidence interval. True or false? If the...
Answer the question. CHAPTER 8: ESTIMATION AND CONFIDENCE INTERVALS 1. As degrees of freedom increase, the...
Answer the question. CHAPTER 8: ESTIMATION AND CONFIDENCE INTERVALS 1. As degrees of freedom increase, the t-distribution approaches the: A. binomial distribution B. exponential distribution C. standard normal distribution D. None of the above 2. Given a t-distribution with 14 degrees of freedom, the area left of - 1.761 is A. 0.025 B. 0.05 C. 0.10 D. 0.90 E. None of the above 3. 100 samples of size fifty were taken from a population with population mean 72. The sample...
1. Costs are rising for all kinds of health care. The mean monthly rent at assisted-living...
1. Costs are rising for all kinds of health care. The mean monthly rent at assisted-living facilities was recently reported to have increased 18% over the last five years. A recent random sample of 121 observations reported a sample mean of $3486. Assume that past studies have informed us that the population standard deviation is $650. For this problem, round your answers to 2 digits after the decimal point. (a) What are the end points of a 90% confidence-interval estimate...
1. Find the area under the standard normal curve (round to four decimal places) a. To...
1. Find the area under the standard normal curve (round to four decimal places) a. To the left of  z=1.65 b. To the right of z = 0.54 c. Between z = -2.05 and z = 1.05 2. Find the z-score that has an area of 0.23 to its right. 3. The average height of a certain group of children is 49 inches with a standard deviation of 3 inches. If the heights are normally distributed, find the probability that a...