8.42 6.29 6.83 6.50 8.34 9.51 7.10 6.80 5.90 4.89 6.50 5.52 7.90 8.30 9.60
2. Of 900 surveyed active LinkedIn members, 368 reported that they are planning to spend at least $1,000 on consumer electronics in the coming year.
In: Math
A researcher examined whether the time of day someone exercises affects memory retention in college courses. Participants were assigned to one of three exercise groups: morning, afternoon, evening, and their performance on a memorization task was measured. This data is below:
| Morning | Afternoon | Evening |
| 6 | 4 | 7 |
| 7 | 5 | 6 |
| 8 | 6 | 8 |
| 5 | 4 | 6 |
| 6 | 5 | 5 |
| Mean = 6.40 | Mean = 4.80 | Mean = 6.40 |
| s = 1.14 | s =.84 | s = 1.14 |
Assuming the researcher wants to know whether the performance was different in these groups (alpha = .05). What is the Mean Squares Within (SSW)? Round to two decimal places.
In: Math
In: Math
Suppose you were attending a university where students hated the bookstore and their aggressively high prices. Suppose further that a student organization goes to the bookstore and argues that prices of text books are exceeding $150 per class. At such outrageous prices, students can no longer afford to go to school. The college bookstore claims that an average student pays $101.75 per class for texts (far below the stated claim of $150). A student group randomly selects ten courses from the catalog and finds the costs for each: $140, $125, $150, $124, $143, $170, $125, $94, $127, and $53.
a. Is that enough to justify a claim that the bookstore is underestimating the amount spent? Make sure that you show your work.
b. Students decide to take a sample from one more class and find that this class has a textbook cost of $195. Does adding this observation to the other 10 observations change your answer to part (a) above?
In: Math
what is Straw man and what type of error is this
In: Math
Slices of pizza for a certain brand of pizza have a mass that is approximately normally distributed with a mean of 66.8 grams and a standard deviation of 1.94 grams.
a) For samples of size 16 pizza slices, what is the standard deviation for the sampling distribution of the sample mean?
b) What is the probability of finding a random slice of pizza with a mass of less than 66.3 grams?
c) What is the probability of finding a 16 random slices of pizza with a mean mass of less than 66.3 grams?
d) What sample mean (for a sample of size 16) would represent the bottom 15% (the 15th percentile)? grams
In: Math
A researcher examined whether the time of day someone exercises affects memory retention in college courses. Participants were assigned to one of three exercise groups: morning, afternoon, evening, and their performance on a memorization task was measured. This data is below:
| Morning | Afternoon | Evening |
| 6 | 4 | 7 |
| 7 | 5 | 6 |
| 8 | 6 | 8 |
| 5 | 4 | 6 |
| 6 | 5 | 5 |
| Mean = 6.40 | Mean = 4.80 | Mean = 6.40 |
| s = 1.14 | s =.84 | s = 1.14 |
Assuming the researcher wants to know whether the performance was different in these groups (alpha = .05). What is the Sum of Squares Between (SSB)? Round to two decimal places.
In: Math
2 The Civil War. A national survey conducted among a simple random sample of 1,507 adults shows that 56% of Americans think the Civil War is still relevant to American politics and political life.
(a) Conduct a hypothesis test to determine if these data provide strong evidence that the majority of the Americans think the Civil War is still relevant.
(b) Interpret the p-value in this context.
(c) Calculate a 90% confidence interval for the proportion of Americans who think the Civil War is still relevant. Interpret the interval in this context, and comment on whether or not the confidence interval agrees with the conclusion of the hypothesis test
In: Math
In a sample of 1000 randomly selected consumers who had opportunities to send in a rebate claim form after purchasing a product, 240 of these people said they never did so. Reasons cited for their behavior included too many steps in the process, amount too small, missed deadline, fear of being placed on a mailing list, lost receipt, and doubts about receiving the money.
Calculate an upper confidence bound at the 95% confidence level for the true proportion of such consumers who never apply for a rebate. (Round your answer to four decimal places.)
In: Math
8) Scores on an exam have a normal distribution with a mean of 80 and a standard deviation of 12.
a) Find the probability that a person would score above 90.
b) Find the probability that a person would score between 75 and 85.
c) Find the probability that a group of 7 people would have a mean score above 84.
d) Find the score needed to be in the top 10% of the class.
In: Math
For each combination of sample size and sample proportion, find the approximate margin of error for the 95% confidence level. (Round the answers to three decimal places.) (a) n = 200, p̂ = 0.53. (b) n = 500, p̂ = 0.53. (c) n = 500, p̂ = 0.30. (d) n = 500, p̂ = 0.60. (e) n = 800, p̂ = 0.50.
Suppose that in a random sample of 450 employed Americans, there are 57 individuals who say that they would fire their boss if they could. Calculate a 90% confidence interval for the population proportion who would fire their boss if they could. (Round the answers to three decimal places.) to
In a randomly selected sample of 400 registered voters in a community, 140 individuals say that they plan to vote for Candidate Y in the upcoming election. (a) Find the sample proportion planning to vote for Candidate Y. (Round your answer to two decimal places.) (b) Calculate the standard error of the sample proportion. (Round your answer to three decimal places.) (c) Find a 95% confidence interval for the proportion of the registered voter population who plan to vote for Candidate Y. (Round your answers to three decimal places.) to (d) Find a 98% confidence interval for the proportion of the registered voter population who plan to vote for Candidate Y. (Round your answers to three decimal places.) to
In: Math
An urn contains 5 blue marbles and 4 yellow marbles. One marble is removed, its color noted, and not replaced. A second marble is removed and its color is noted.
(a) What is the probability that both marbles are blue? yellow?
(b) What is the probability that exactly one marble is blue?
A tree diagram has a root that splits into 2 branches labeled blue and yellow. Each primary branch splits into 2 secondary branches, labeled blue and yellow.yellowblueblueblueyellowyellow
In: Math
4. What is the empirical probability of a loss? [Topic 2]
Date OLIM Int.
15/6/2014 2.36
22/6/2014 2.46
29/6/2014 2.52
6/7/2014 2.46
13/7/2014 2.44
20/7/2014 2.54
27/7/2014 2.46
3/8/2014 2.42
10/8/2014 2.54
17/8/2014 2.53
24/8/2014 2.65
31/8/2014 2.64
7/9/2014 2.56
14/9/2014 2.54
21/9/2014 2.4
28/9/2014 2.3
5/10/2014 2.2
12/10/2014 2.08
19/10/2014 2.06
26/10/2014 2.13
2/11/2014 2.11
9/11/2014 2.25
16/11/2014 2.24
23/11/2014 2.16
30/11/2014 2.09
7/12/2014 2.04
14/12/2014 2.11
21/12/2014 2.09
28/12/2014 2.04
4/1/2015 2.01
11/1/2015 1.96
18/1/2015 2
25/1/2015 1.975
1/2/2015 2.03
8/2/2015 2
15/2/2015 2
22/2/2015 2
1/3/2015 2
8/3/2015 2.01
15/3/2015 1.98
22/3/2015 1.99
29/3/2015 2
5/4/2015 2.03
12/4/2015 2.05
19/4/2015 2
26/4/2015 2.02
3/5/2015 2
10/5/2015 1.98
17/5/2015 1.985
24/5/2015 1.985
31/5/2015 1.88
7/6/2015 1.885
14/6/2015 1.865
21/6/2015 1.865
28/6/2015 1.885
5/7/2015 1.825
12/7/2015 1.79
19/7/2015 1.78
26/7/2015 1.84
2/8/2015 1.8
9/8/2015 1.8
16/8/2015 1.755
23/8/2015 2.07
30/8/2015 1.98
6/9/2015 1.975
13/9/2015 2.04
20/9/2015 1.995
27/9/2015 2
4/10/2015 2
11/10/2015 2
18/10/2015 1.98
25/10/2015 2
1/11/2015 1.99
8/11/2015 1.915
15/11/2015 1.845
22/11/2015 1.82
29/11/2015 1.805
6/12/2015 1.77
13/12/2015 1.81
20/12/2015 1.835
27/12/2015 1.82
3/1/2016 1.695
10/1/2016 1.665
17/1/2016 1.63
24/1/2016 1.62
31/1/2016 1.61
7/2/2016 1.58
14/2/2016 1.585
21/2/2016 1.61
28/2/2016 1.755
6/3/2016 1.74
13/3/2016 1.745
20/3/2016 1.74
27/3/2016 1.69
3/4/2016 1.655
10/4/2016 1.72
17/4/2016 1.725
24/4/2016 1.65
1/5/2016 1.595
8/5/2016 1.6
15/5/2016 1.705
22/5/2016 1.815
29/5/2016 1.835
5/6/2016 1.86
12/6/2016 1.815
19/6/2016 1.855
26/6/2016 1.88
3/7/2016 1.91
10/7/2016 1.885
17/7/2016 1.88
24/7/2016 1.91
31/7/2016 1.83
7/8/2016 1.85
14/8/2016 1.96
21/8/2016 2.06
28/8/2016 2.07
4/9/2016 2.09
11/9/2016 2.03
18/9/2016 2.04
25/9/2016 2.06
2/10/2016 2.05
9/10/2016 2.07
16/10/2016 2.06
23/10/2016 2.1
30/10/2016 2.08
6/11/2016 2.1
13/11/2016 1.95
20/11/2016 1.96
27/11/2016 2.02
4/12/2016 2.07
11/12/2016 2.13
18/12/2016 2
25/12/2016 1.97
1/1/2017 2
8/1/2017 2.06
15/1/2017 1.995
22/1/2017 2
29/1/2017 2.01
5/2/2017 2.02
12/2/2017 2.1
19/2/2017 2.06
26/2/2017 2
5/3/2017 1.975
12/3/2017 1.93
19/3/2017 1.86
26/3/2017 1.92
2/4/2017 1.955
9/4/2017 1.91
16/4/2017 1.91
23/4/2017 1.91
30/4/2017 1.9
7/5/2017 1.96
14/5/2017 1.995
21/5/2017 2.07
28/5/2017 2.02
4/6/2017 2.03
11/6/2017 2
18/6/2017 1.96
25/6/2017 1.95
2/7/2017 1.915
9/7/2017 1.94
16/7/2017 1.945
23/7/2017 1.93
30/7/2017 1.96
6/8/2017 1.95
13/8/2017 2.02
20/8/2017 2.1
27/8/2017 2.06
3/9/2017 2.02
10/9/2017 2.01
17/9/2017 2.01
24/9/2017 2.02
1/10/2017 2.14
8/10/2017 2.22
15/10/2017 2.29
22/10/2017 2.35
29/10/2017 2.36
5/11/2017 2.33
12/11/2017 2.19
19/11/2017 2.2
26/11/2017 2.25
3/12/2017 2.19
10/12/2017 2.16
17/12/2017 2.07
24/12/2017 2.03
31/12/2017 2.04
7/1/2018 2.09
14/1/2018 2.11
21/1/2018 2.19
28/1/2018 2.22
4/2/2018 2.08
11/2/2018 2.17
18/2/2018 2.26
25/2/2018 2.23
4/3/2018 2.4
11/3/2018 2.34
18/3/2018 2.37
25/3/2018 2.34
1/4/2018 2.34
8/4/2018 2.35
15/4/2018 2.29
22/4/2018 2.28
29/4/2018 2.18
6/5/2018 2.3
13/5/2018 2.29
20/5/2018 2.28
27/5/2018 2.19
3/6/2018 2.21
10/6/2018 2.17
In: Math
A problem experiment is conducted in which the sample space of the experiment is S= {1,2,3,4,5,6,7,8,9,10,11,12}, event F={7,8}, and event G={9,10,11,12}. Assume that each outcome is equally likely. List the outcomes in F and G. Find P(F or G) by counting the number of outcomes in F or G. Determine P(F or G) using the general addition rule.
In: Math
Hormone replacement therapy (HRT) is thought to increase the risk of breast cancer. The accompanying data on
x = percent of women using HRT and
y = breast cancer incidence (cases per 100,000 women)
for a region in Germany for 5 years appeared in the paper "Decline in Breast Cancer Incidence after Decrease in Utilization of Hormone Replacement Therapy." The authors of the paper used a simple linear regression model to describe the relationship between HRT use and breast cancer incidence.
| HRT Use | Breast Cancer Incidence |
|---|---|
| 46.30 | 103.30 |
| 40.60 | 105.00 |
| 39.50 | 100.00 |
| 36.60 | 93.80 |
| 30.00 | 83.50 |
(a)
What is the equation of the estimated regression line? (Round your answers to three decimal places.)
ŷ = __+(___x)
(b)
What is the estimated average change in breast cancer incidence (in cases per 100,000 women) associated with a 1 percentage point increase in HRT use? (Round your answer to three decimal places.)
cases per 100,000 women
(c)
What would you predict the breast cancer incidence (in cases per 100,000 women) to be in a year when HRT use was 34%? (Round your answer to three decimal places.)
cases per 100,000 women
(d)
Should you use this regression model to predict breast cancer incidence for a year when HRT use was 13%? Explain.
(e)
Calculate the value of
r2.
(Round your answer to three decimal places.)Interpret the value of
r2.
(f)
Calculate the value of
se.
(Round your answer to three decimal places.)Interpret the value of
In: Math