Test the given claim about the means of two populations. Assume
that two dependent samples have been randomly selected from
normally distributed populations. A test of abstract reasoning is
given to a random sample of students before and after they
completed a formal logic course. The results are given below. At
the 0.05 significance level, test the claim that the mean score is
not affected by the course. Include your null and alternative
hypotheses, the test statistic, P-value or critical value(s),
conclusion about the null hypothesis, and conclusion about the
claim in your answer.
Before | 74 | 83 | 75 | 88 | 84 | 63 | 93 | 84 | 91 | 77 |
After | 73 | 77 | 70 | 77 | 74 | 67 | 95 | 83 | 84 | 75 |
In: Statistics and Probability
Conduct a test at the a = 0.05 level of significance by determining (a) the null and alternative hypotheses (b) the test statistic (c) the critical value, and (d) the P-value. Assume that the samples were obtained independently using simple random sampling.
1. Test whether p1 is not equal to p2. Sample data: x1 = 804, n1 = 874, x2 = 902, n2 = 954
In: Statistics and Probability
An electronics company is looking to develop a regression model
to predict the number of units sold for a special running watch.
Data is provided below:
Sales (units) | Price ($) | Advertising ($) | Holiday |
500 | 100 | 50 | Yes |
480 | 120 | 40 | Yes |
485 | 110 | 45 | No |
510 | 103 | 55 | Yes |
490 | 108 | 40 | No |
488 | 109 | 30 | No |
496 | 106 | 45 | Yes |
Compile a spreadsheet for the data and determine the predicted number of units sold if the watch is sold on a holiday for $200 while $150 is spent on advertising.
370 |
||
420 |
||
424 |
||
860 |
In: Statistics and Probability
In a waiting line situation, arrivals occur at a rate of 3 per minute, and the service times average 12 seconds. Assume the Poisson and exponential distributions.
a. |
What is λ? What is μ? |
b. |
Find average number of units in the system. |
c. |
Find average time in the waiting line. |
d. |
Find probability that there is one person waiting. |
e. |
Find probability an arrival will have to wait. |
In: Statistics and Probability
In: Statistics and Probability
The breaking strength of yarn used in the manufacture of woven carpet material is Normally distributed with 2.4 psi (pound-force per square inch). A random sample of 16 specimens of yarn from a production run were measured for breaking strength and a confidence interval for the breaking strength of yarn was found to be (128.7, 131.3).
(a) What is the confidence level, C, of this interval?
A. 90% B. 92% C. 95% D. 96% E. 97% F. 98.5% G. 99% H. None of Above
(b) What is the margin-of-error of this study?
A. 130 B. 65 C. 2.6 D. 1.3 E. None of Above F. Unable to determine with the information provided.
(c) Is it possible that the breaking strength of yarn used in the manufacture of woven carpet is 120 psi?
A. Yes B. No C. Unable to determine with the information provided.
In: Statistics and Probability
Descriptive analysis revealed that the mean Test 3 score of all 63 students in Dr. Bills’s statistics courses was an 80. Similarly, the standard deviation for all students’ Test 3 scores was found to be 16. Assume the Test 3 scores are approximately normally distributed.
5. Determine the Test 3 score that corresponds to a z-score of -2.18. Round your solution to the nearest whole number.
6. Find the 75th percentile. That is, find the test score such that 75% of all test scores are below it. Hint: See example on the Chapter 6 handout. Round your solution to the nearest whole number.
In: Statistics and Probability
24)____________ An SAT prep course claims to improve the test scores of students. The
table shows the scores for seven students the first two times they took
25)_____________ the verbal SAT. Before taking the SAT for the second time, each
student took a course to try to improve his or her verbal SAT scores.
Test the claim at a = .05. List the a) null hypothesis b) average difference
between the scores
Student |
1 |
2 |
3 |
4 |
5 |
6 |
7 |
Score on First SAT |
308 |
456 |
332 |
443 |
306 |
471 |
432 |
Score on Second SAT |
421 |
524 |
400 |
421 |
348 |
589 |
391 |
26)______________ In a crash test at five miles per hour, the mean bumper repair cost for 14
midsize cars was $547 with a standard deviation of $85. In a similar test
of 23 small cars, the mean bumper repair cost was $347 with a standard
27)______________ deviation of $185. At a = 0.05, can you conclude that the mean bumper
repair cost is the same for midsize cars and small cars? List the
26) p-value 27) accept or reject.
In: Statistics and Probability
The distribution of GPA scores is known to be left-skewed. At a large university, the administration is interested in learning about the average GPA score of the undergraduate students. A simple random sample of 75 undergraduates results in an average GPA score of 2.97. Assume that the distribution of GPA scores of the undergraduates at this university is also left-skewed with a standard deviation of 0.62.
(a) Which of the following statements is true?
A. The sampling distribution is normal.
B. The population distribution is normal.
C. Both the sampling distribution and the population distribution are normal.
D. Neither the sampling distribution nor the population distribution is normal.
E. Unable to determine with the information provided.
(b) What is the 97% confidence interval for the mean GPA of the undergraduates?
A. (1.625, 4.315)
B. (2.835,3.105)
C. (1.73, 4.70)
D. (2.815, 3.125)
E. (1.804, 4.136)
F. (2.827, 3.113)
G. (2.830, 3.110)
H. None of Above
In: Statistics and Probability
Experiment 2: Hematocrit In the second experiment, you will determine hematocrit for all students in the class to answer the research question: Is there a difference in hematocrit between male and female college students?
a. What basic type of study design will you use to answer the research question?
a) descriptive b) experimental c) neither
b. More specifically, what type of study design will you use to answer the research question?
a) case study b) cross-over c) cross-sectional d) longitudinal e) pre/post f) randomized, controlled g) retrospective h) time series
c. What type of statistical test would be most appropriate to analyze these data?
a) Chi-square test b) dependent t-test c) independent t-test d) one-way ANOVA e) repeated measures ANOVA f) None of these is appropriate. g) You cannot run statistics on these data.
d. What is(are) the control(s)? Choose ANY that apply.
a) altitude of testing site b) hydration status of subjects c) sex of subjects d) training status of subjects e) There is none.
In: Statistics and Probability
A farmer has decided to use a new additive to grow his crops. He divided his farm into 10 plots and kept records of the corn yield (in bushels) before and after using the additive. The before (first row) and after (second row) results from the 10 different plots are shown below.
Corn Yield
Before 9 9 8 7 6 8 5 9 10 11
After 10 9 9 8 7 10 6 10 10 12
You wish to test the following hypothesis at the 1 percent level of significance.
H0= µ=0 against H1: µd > 0
What decision rule would you use?
a.) Reject H0 if test statistic is less than 2.821
b.) Reject H0 if test statistic is greater than -2.821
c.) Reject H0 if test statistic is greater than 2.821
d.) Reject H0 if test statistic is greater than -2.821 or less than 2.821
In: Statistics and Probability
(1) A study reported that 55% of Americans say parents are doing too much for their young adult children these days. The smallest sample size for which the sampling distribution of sample proportion is approximately normal is ( ) . (Your answer must be an integer.)
(2)To estimate the average income among all U.S. workers, we obtain a simple random sample of 1000 U.S. workers and calculate their average income. Then, we should
(I) conclude that the average income among all U.S. workers is the value we calculated.
(II) compute a confidence interval for the average income of all U.S. workers.
(III) perform a test of significance to see if the sample data are reliable.
A. (I) only B. (II) only C. (III) only D. (I) and (II) only E. (I) and (III) only F. (II) and (III) only
In: Statistics and Probability
how is the interpretation of slopes in multiple regression model different from simple regression slope?
How repeated measures ANOVA control for individual differences?
In: Statistics and Probability
write an essay in response to the merits and demerits of grading on a bell curve.
Use the following article https://cubelogger.wordpress.com/2011/07/15/the-merits-and-demerits-of-grading-on-a-bell-curve/
In: Statistics and Probability
STRAIGHT FROM THE BOOK
Roulette In the casino game of roulette there is a wheel
with 19 black slots, 19 red slots, and 2 green slots. In the game,
a ball is rolled around a spinning wheel and it lands in one of the
slots. It is assumed that each slot has the same probability of
getting the ball. This results in the table of probabilities
below.
Fair Table Probabilities
black | red | green | |
Probability | 19/40 | 19/40 | 2/40 |
You watch the game at a particular table for 130 rounds and count
the number of black, red, and green results. Your observations are
summarized in the table below.
Outcomes (n = 130)
black | red | green | |
Counts | 48 | 73 | 9 |
The Test: Test the claim that this roulette table
is not fair. That is, test the claim that the distribution of
colors for all spins of this wheel does not fit the expected
distribution from a fair table. Test this claim at the 0.01
significance level.
(a) What is the null hypothesis for this test?
H0: The probabilities are not all equal to 1/3.H0: p1 = 19/40, p2 = 19/40, and p3 = 2/40. H0: p1 = p2 = p3 = 1/3H0: The probabilities associated with this table do not fit those associated with a fair table.
(b) The table below is used to calculate the test statistic.
Complete the missing cells.
Round your answers to the same number of decimal places as
other entries for that column.
Observed | Assumed | Expected | |||||
i | Color | Frequency (Oi) | Probability (pi) | Frequency Ei |
|
||
1 | black | 0.475 | 61.75 | 3.062 | |||
2 | red | 73 | |||||
3 | green | 9 | 0.050 | 6.50 | 0.962 | ||
Σ | n = 130 | χ2 = | |||||
(c) What is the value for the degrees of freedom?
(d) What is the critical value of χ2?
Use the answer found in the
χ2-table or round to 3 decimal
places.
tα =
(e) What is the conclusion regarding the null hypothesis?
reject H0
fail to reject H0
(f) Choose the appropriate concluding statement.
We have proven that this table is fair.
The results of this sample suggest the table is not fair.
There is not enough data to conclude that this table is not fair.
In: Statistics and Probability