Questions
A random sample of 20 purchases showed the amounts in the table​ (in $). The mean...

A random sample of 20 purchases showed the amounts in the table​ (in $). The mean is

​$49.71 and the standard deviation is ​$20.12

​a) Construct a 99​% confidence interval for the mean purchases of all​ customers, assuming that the assumptions and conditions for the confidence interval have been met.

​b) How large is the margin of​ error?

​c) How would the confidence interval change if you had assumed that the standard deviation was known to be

​$21?

40.97

68.94

75.05

61.69

84.52

15.84

63.79

30.72

57.29

43.93

51.53

88.75

44.14

51.94

38.04

24.95

32.42

58.63

26.71

34.41

​a) What is the confidence​ interval?

​(___ ​,____​)

In: Math

Given the following data, find the percentile of a diameter of 1.40 inches. Diameters of Golf...

Given the following data, find the percentile of a diameter of 1.40 inches. Diameters of Golf Balls (in Inches) 1.31 1.63 1.58 1.44 1.35 1.48 1.47 1.58 1.61 1.55 1.57 1.66 1.53 1.38 1.38 1.59 1.31 1.42 1.32 1.37

In: Math

Allegiant Airlines charges a mean base fare of $84. In addition, the airline charges for making...

Allegiant Airlines charges a mean base fare of $84. In addition, the airline charges for making a reservation on its website, checking bags, and inflight beverages. These additional charges average $34 per passenger. Suppose a random sample of 50 passengers is taken to determine the total cost of their flight on Allegiant Airlines. The population standard deviation of total flight cost is known to be $40. Use z-table.

a. What is the population mean cost per flight?
$

b. What is the probability the sample mean will be within $10 of the population mean cost per flight (to 4 decimals)?

c. What is the probability the sample mean will be within $5 of the population mean cost per flight (to 4 decimals)?

In: Math

The article entitled “Effect of metformin therapy on 2-h post-glucose insulin levels in patients of polycystic...

The article entitled “Effect of metformin therapy on 2-h post-glucose insulin levels in patients of polycystic ovarian syndrome” by Saxena et al. discussed the influence of metformin on insulin levels in women with polycystic ovarian syndrome (POCS), http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3017330/?tool=pubmed (Links to an external site.).
Summarize the article in terms of the statistics that were used and calculate the following statistics for i) the body mass index, ii) the FSH levels, and iii) the mean hirsutism scores (15 points):

a. The 95% and 99% confidence intervals.

b. Test the null and alternative hypothesis that the after treatment results are significantly different from the before treatment results.

Sample size=40

Pre-Treatment

Post- Treatment

Average

SD (±)

Average

SD (±)

BMI

25.5

4.4

23.6

3.7

FSH

5.7

2.6

4.5

2.7

Mean Hirsutism

13.8

4.2

9.2

2.2

In: Math

Exhibit 6-10a. You are asked to bid on a first edition copy of Snedecor's Statistical Methods...

Exhibit 6-10a. You are asked to bid on a first edition copy of Snedecor's Statistical Methods at an auction. You are bidding for a friend and the friend gives you $11600 and tells you that if you win the item for her then you can keep whatever is left over and if you lose the auction then you simply return the $11600 to her. At the auction there is only one other bidder and you believe their bid for the item will be uniformly distributed between $2300 and $10100. The winner of the auction is the highest bidder and they pay the amount of the loser's bid (similar to eBay).


[R] Refer to Exhibit 6-10a. If you submit a bid of $8140 what is your expected profit, E(profit)? Note: profit is revenue minus cost.

In: Math

Data has been gathered to explain executive salaries from a variety of factors. Perform a Multiple...

Data has been gathered to explain executive salaries from a variety of factors.

Perform a Multiple Regression to predict SALARY from EXPerience, EDUCation, GENDER, NUMberSupported and ASSETS.

d. Test for violation of the Model Assumptions. How did you do this?

e. Test for multicollinearity. How did you do this?

SALARY EXP EDUC GENDER NUMSUP ASSETS
93300 12 15 1 240 170
130000 25 14 1 510 160
88200 20 14 0 370 170
74400 3 19 1 170 170
115300 19 12 1 520 150
70400 14 13 0 420 160
114200 18 18 1 290 170
72600 2 17 1 200 180
108600 14 13 1 560 180
68600 4 16 1 230 160
102000 8 18 1 540 150
101400 19 15 1 90 180
149400 23 16 1 560 180
57100 5 15 0 470 150
87400 3 16 1 340 190
131000 22 17 1 70 200
90300 24 14 0 160 180
115600 22 16 1 160 190
102800 13 18 1 110 180
141900 21 16 1 410 180
90900 10 13 1 370 190
73400 11 12 1 180 170
101000 12 19 1 60 200
85400 10 19 1 60 180
138300 26 17 1 110 200
82300 7 15 1 280 190
85500 7 19 1 110 180
75300 10 19 0 300 170
87500 23 14 0 220 170
127100 12 15 1 570 200
80100 6 16 1 240 180
90900 15 16 0 300 150
109600 15 18 1 260 170
70700 8 13 1 150 160
104400 18 19 0 350 160
71200 2 13 1 370 190
85400 13 14 1 150 160
89300 12 17 0 480 190
124800 21 15 1 310 180
42800 3 12 0 340 150
125000 20 16 1 520 160
122200 20 19 1 200 170
107100 20 17 0 490 160
61000 1 15 0 570 180
59800 2 17 1 70 160
95700 9 17 1 300 160
85600 11 17 0 190 160
88900 21 13 0 500 160
143000 20 20 1 390 170
109200 17 16 0 520 180
156700 24 12 1 530 200
65100 2 17 0 590 190
105900 9 13 1 560 170
74300 2 18 0 600 190
79300 13 12 0 390 170
106600 14 18 1 110 170
106400 18 13 1 190 190
77400 10 14 1 110 160
129400 21 13 1 430 190
82600 11 14 0 440 150
126100 26 15 1 210 190
121900 22 18 1 320 160
96200 3 16 1 560 180
128900 17 18 1 450 190
72200 2 16 1 410 180
58800 4 18 0 70 150
79300 8 17 1 90 190
96100 13 15 1 290 160
94900 3 18 1 530 180
89000 13 16 0 420 170
108800 25 19 0 150 200
95300 11 15 1 500 190
71200 2 17 0 430 190
173400 26 17 1 570 190
107000 20 20 1 90 150
100000 19 12 1 340 160
100700 12 13 1 440 170
152800 22 18 1 500 160
95300 13 13 0 570 180
77300 2 15 1 560 190
84600 15 14 1 160 170
92600 12 13 1 390 190
85900 13 19 0 370 200
79400 5 17 1 330 160
80100 8 17 0 560 170
114100 21 20 0 590 180
78500 5 16 1 290 200
87300 9 18 0 440 180
102900 19 15 0 480 190
116300 23 19 1 130 150
51500 3 12 0 440 190
106500 13 19 1 310 150
109000 22 17 0 370 200
66600 9 12 0 180 160
111100 7 19 1 520 200
83100 10 18 0 90 180
159500 25 18 1 590 160
122500 10 19 1 480 200
67300 3 19 1 80 160
97900 16 17 0 380 160

In: Math

A researcher wants to estimate the difference in the means of two populations. A random sample...

A researcher wants to estimate the difference in the means of two populations. A random sample of 36 items from the first population results in a sample mean of 430. A random sample of 49 items from the second population results in a sample mean of 460. The population standard deviations are 120 for the first population and 140 for the second population. From this information, a 95% confidence interval for the difference between means of the first population and the second population is _______. Select one: a. -102.83 to 42.43 b. -87.60 to 27.60 c. -76.53 to 16.53 d. -95.90 to 35.90

In: Math

A normally distributed population of lemming body weights has a mean of 63.5 g and a...

A normally distributed population of lemming body weights has a mean of 63.5 g and a standard deviation of 12.2 g.

  1. What proportion of this population is 43.0g or smaller?
  1. If there are 1000 weights in the population, how many of them are 43.0 or smaller?
  1. What is the probability of a body weight between 50.0 and 60.0 g?

In: Math

An ogre is very hungry but cannot decide how many chickens he wants to eat. So,...

An ogre is very hungry but cannot decide how many chickens he wants to eat. So, he rolls a standard 6-sided die. Let Y be the number that he rolls. Then he goes to his chicken coop and randomly chooses Y chickens to eat. Suppose that his coop has 10 Rhode Island Reds and 4 Bantams.

(a) What is the probability that all of the Bantams get eaten? (b) What is the expected number of Bantams consumed?

In: Math

Researchers at Consumer Reports recently found that fish are often mislabeled in grocery stores and restaurants....

Researchers at Consumer Reports recently found that fish are often mislabeled in grocery stores and restaurants. They are interested to know, however, if the proportion of mislabeling varies by type of fish. They collected data on 400 packages of tuna and 300 packages of mahi mahi and found that 110 and 95 were mislabeled, respectively.

a. What are the point estimates for the proportion of tuna and mahi mahi that are mislabeled?

b. Provide a 95% confidence interval estimate of the difference between the proportion of tuna and mahi mahi that is mislabeled.

c. Based on your answer to (b), would you say the rate of mislabeling is different for tuna and mahi mahi? Explain your answer.

d. Now, let's say we want to test whether the proportion of tuna mislabeled is lower than the proportion of mislabeled mahi mahi. Assuming a 99% confidence level, work through your hypothesis testing procedure below.

In: Math

Imagine a basketball player named Shack. He is getting old, doesn’t run too well and has...

Imagine a basketball player named Shack. He is getting old, doesn’t run too well and has always been a poor free-throw shooter. He decides to work on the last of these as follows:Five times per day for the next 80 days he will shoot four free throws and count thenumber of successes that he achieves.Thus, Shack will collect n = 400 numerical values, with each value being one of: 0, 1, 2, 3 or 4.Shack wants to use the Goodness of Fit Test to test whether these 400 values behave as if they come from a binomial distribution. Note p is unknown.His O’s are below.Outcome01234Oi251181399325(1)State the null hypothesis and alternative hypothesis. (2)Estimateπ.(3)Fill the following table and carry out a multinomial 2test with =0.05 BY HAND. Remember to state your conclusions.

Outcome 0 1 2 3 4

Oi 25 118 139 93 25

Pi

Ei

Oi-Ei

(Oi-Ei)2

(Oi-Ei)2/Ei

In: Math

A simple random sample with n=56 provided a sample mean of 22.5 and a sample standard...

A simple random sample with n=56 provided a sample mean of 22.5 and a sample standard deviation of 4.4

a.Develop a 90% confidence interval for the populationmean.

b.Develop a 95% confidence interval for the populationmean.

c.Develop a 99% confidence interval for the populationmean.

d.What happens to the margin of error and the confidenceinterval as the confidence level is increased?

In: Math

Below are sets of three variables. On the lines after each set, do the following: Write...

Below are sets of three variables. On the lines after each set, do the following: Write a hypotheses relating the first two variables. Identify independent and dependent variables. State how you expect the third variable to affect the hypothesized relationship. Draw an arrow diagram including all three variables. Determine whether the third variable is antecedent, intervening, or alternative. Primary caregiver for children (primary caregiver, not primary caregiver); support for Family Medical Leave Law (thermometer scale for support); gender (female, male) Intention to vote in upcoming election; respondent’s general interest in politics; predicted outcome of election (“too close to call,” “somewhat competitive,” “lopsided victory”) Type of lightbulb purchased (regular, energy efficient); difference in cost of regular and high-efficiency lightbulbs (small difference, large difference); concern about global climate change. The only answer given is that there aren't three variables. I really need help with this question.

In: Math

To better understand how husbands and wives feel about their finances, a magazine conducted a national...

To better understand how husbands and wives feel about their finances, a magazine conducted a national poll of 1,006 married adults age 25 and older with household incomes of $50,000 or more. Consider the following example set of responses to the question "Who is better at getting deals?"

Who Is Better?
Respondent I Am My Spouse We Are Equal
Husband 280 125 100
Wife 292 109 100

(a)

Develop a joint probability table and use it to answer the following questions. (Round your answers to four decimal places.)

Response Totals
I am My Spouse We Are Equal
Spouse Husband
Wife
Totals

(b)

According to the marginal probabilities, what is the most likely response?

I ammy spouse    we are equal

(c)

Given that the respondent is a husband, what is the probability that he feels he is better at getting deals than his wife? (Round your answer to four decimal places.)

(d)

Given that the respondent is a wife, what is the probability that she feels she is better at getting deals than her husband? (Round your answer to four decimal places.)

(e)

Given a response "My spouse" is better at getting deals, what is the probability that the response came from a husband? (Round your answer to four decimal places.)

(f)

Given a response "We are equal," what is the probability that the response came from a husband?

What is the probability that the response came from a wife?

In: Math

True or False The critical value is the number of standard errors on either side of...

True or False The critical value is the number of standard errors on either side of the sample proportion.

True or False The margin of error is smaller for a 95% confidence interval than for a 90% confidence interval.

True or False Type II Error is caused by rejecting the null hypothesis when the null hypothesis was actually true.

True or False Type I and Type II errors are related. The only way to decrease both is to decrease the sample size.

True or False A small P-value indicates that the observation obtained is improbable given the null hypothesis and thus provides evidence against the null hypothesis.

True or False The purpose of hypothesis testing is to prove our belief for a given scenario.

True or False A Type I error is always worse than a Type II error.

True or False The alternative hypothesis, HA, contains the values of the parameter we consider plausible when we reject the null hypothesis, H0.

In: Math