Category Archives: QNT 275 (NEW)

QNT 275 Week 5 Practice Set NEW

QNT 275 Week 5 Practice Set NEW

1. This distribution has only one parameter. The curve is skewed to the right for small df and
becomes symmetric for large df. The entire distribution curve lies to the right of the vertical
axis. The distribution assumes nonnegative values only
1. t distribution
2. Normal distribution
3. Chi-square distribution
4. Linear regression.

2. Find the value of x2 for 12 degrees of freedom and an area of .025 in the right tail of the chi-
square distribution curve. What is the value of chi-square? Round to three decimal places

3. Determine the value of x2 for 14 degrees of freedom and an area of .10 in the left tail of the
chi-square distribution curve. What is the value of chi-square? Round to three decimal places

4. Determine the value of x2 for 23 degrees of freedom and an area of .990 in the left tail of the
chi-square distribution curve. What is the value of chi-square? Round to three decimal places.

5. Α ____________ compares the observed frequencies from a multinomial experiment with
expected frequencies derived from a certain pattern or theoretical distribution. The test
evaluates how well the observed frequencies fit the expected frequencies.
1. Goodness-of-fit test
2. Chi-square test
3. Linear regression

6. The __________ are the frequencies obtained from the performance of a
multinomial experiment. The expected frequencies are the frequencies that we expect to obtain
if the null hypothesis is true.
1. Observed frequencies
2. Expected frequencies
3. Fluctuating frequencies

7. The expected frequency of a category is given by Ε = np where n is the sample size and p is the
probability that an element belongs to that category if the null hypothesis is true. The
________ for a goodness–of–fit test are k – 1, where k denotes the number of possible
outcomes (or categories) for the experiment.
1. Number of observations
2. Degrees of freedom
3. Total population

8. This model includes only two variables, one independent and one dependent, is called a _____1______. The ___2____ is the one being explained, and the ___3___ is the one used to explain the variation in the dependent Select the correct letter that would make the sentence true.
9. Select a letter from the list to make this statement true.
10. Select a letter from the list to make this statement true.
11. Select a letter from the list to make this statement true.
12. Linear model
13. Qualitative variable
14. Multivariate analysis of variance
15. Independent variable
16. Simple regression model
17. One-way Analysis of Variance
18. Dependent variable
19. Quantitative variable

9. A population data set produced the following information.
N=460,  ∑x=3920,   ∑y=2650,  ∑xy=26,570,  ∑x2=48,530
Find the population regression line. Round to three decimal places. Use the format as an example when submitting your equation 456.123 + 789.123x
10. The following information is obtained from a sample data set.
n=12,  ∑x=66,  ∑y=588,  ∑xy=2244,  ∑x2=396
Find the estimated regression line Use this format as an example when submitting your equation 123 – 45x

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QNT 275 Week 5 Individual Assignment Final z-test NEW

QNT 275 Week 5 Individual Assignment Final z-test NEW

Individual Assignment Final: z-test: Identify a research problem different from the previous research problems that uses two different sets of the same type of data. Example: Sales from two different months or years. GPA’s of men and women. Number of two different shelf items sold (Coke & Pepsi) by month over a year. Home sales prices in different suburbs, cities counties or states. You wish to determine if there is a significant difference between the means of the data sets. Select data that have absolute zero measurements (Ratio data). You may use recorded data or made up data. The n sample size should be at least 30 in each set, but not more than 50. Prepare a paper with a table of contents. Describe the research problem, research purpose and one research question. Include a definition of the variables you are measuring. List the data. List alpha, the null and alternative hypothesis, and give a brief back ground. Do MegaStat descriptive statistics on the data and do data analysis describing the data. Do runs plot graphs. Interpret the Goodness of Fit (GOF) p-value to decide if the data is parametric (normal) or nonparametric.

z-Test: Open Excel, log in both data sets. Go to Add Ins, Megastat, Hypothesis Tests, Compare Two Independent Groups, left mouse click highlight Group 1 then Group 2, check z-test in the box. OK. Conclude. Use the I5 sample as a guide. This paper should be between 900-1200 words. Post as an Individual assignment. Title the document file “z-Test I5″

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QNT 275 Week 5 Individual Assignment Final z-test (Set 2) NEW

QNT 275 Week 5 Individual Assignment Final z-test (Set 2) NEW

Individual Assignment Final: z-test: Identify a research problem different from the previous research problems that uses two different sets of the same type of data. Example: Sales from two different months or years. GPA’s of men and women. Number of two different shelf items sold (Coke & Pepsi) by month over a year. Home sales prices in different suburbs, cities counties or states. You wish to determine if there is a significant difference between the means of the data sets. Select data that have absolute zero measurements (Ratio data). You may use recorded data or made up data. The n sample size should be at least 30 in each set, but not more than 50. Prepare a paper with a table of contents. Describe the research problem, research purpose and one research question. Include a definition of the variables you are measuring. List the data. List alpha, the null and alternative hypothesis, and give a brief back ground. Do MegaStat descriptive statistics on the data and do data analysis describing the data. Do runs plot graphs. Interpret the Goodness of Fit (GOF) p-value to decide if the data is parametric (normal) or nonparametric.

z-Test: Open Excel, log in both data sets. Go to Add Ins, Megastat, Hypothesis Tests, Compare Two Independent Groups, left mouse click highlight Group 1 then Group 2, check z-test in the box. OK. Conclude. Use the I5 sample as a guide. This paper should be between 900-1200 words. Post as an Individual assignment. Title the document file “z-Test I5″.

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QNT 275 Week 5 CLO Business Decision Making Project Part 3 (2 PPT) NEW

QNT 275 Week 5 CLO Business Decision Making Project Part 3 (2 PPT) NEW

CLO Business Decision Making Project, Part 3

Prepare an 11- to 15-slide Microsoft® PowerPoint® presentation for the senior management team based on the business problem or opportunity you described in Weeks 3-4.
Include on the slides what you’d want the audience to see (include appropriate visual aids/layout) and include in the Speaker’s Notes section what you’d say as you present each slide. If any source material is quoted or paraphrased in the presentation, use APA citations and references.
Draw on material you developed in the Weeks 3-4 assignments.
Include the following in your presentation:
·         Introduction slide
·         Agenda slide
·         Describe the organization, with a brief description
·         Explain the business problem or opportunity
·         Analyze why the business problem is important
·         Identify what variable would be best to measure for this problem. Explain why.
·         Apply data analysis techniques to this problem (tell which techniques should be used: descriptive stats, inferential stats, probability, linear regression, time series). Explain why.
·         Apply a possible solution to the problem/opportunity, with rationale.
·         Evaluate how data could be used to measure the implementation of such a solution.
·         Conclusion
·         References slide (if any source material is quoted or paraphrased throughout the presentation)

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QNT 275 Week 5 Assignment Business Problem or Opportunity Presentation NEW

QNT 275 Week 5 Assignment Business Problem or Opportunity Presentation NEW

Prepare an 11- to 15-slide Microsoft® PowerPoint® presentation for the senior management team based on the business problem or opportunity you described in Weeks 3 and 5.

Include on the slides what you would want the audience to see (include appropriate visual aids/layout). In the Speaker Notes section, include what you would say as you present each slide. If any source material is quoted or paraphrased in the presentation, use APA citations and references.

Draw on material you developed in the Week 3 and 4 assignments.

Include the following in your presentation: 

  • Introduction slide
  • Agenda slide
  • Describe the organization, with a brief description
  • Explain the business problem or opportunity
  • Analyze why the business problem is important
  • Identify what variable would be best to measure for this problem and explain why
  • Apply data analysis techniques to this problem (tell which techniques should be used: descriptive stats, inferential stats, probability) and explain why
  • Apply a possible solution to the problem/opportunity, with rationale
  • Evaluate how data could be used to measure the implementation of such a solution
  • Conclusion
  • References slide (if any source material is quoted or paraphrased throughout the presentation)

Format your assignment consistent with APA guidelines. 

Click the Assignment Files tab to submit your assignment.

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QNT 275 Week 4 Presentation (13 and 14) NEW

QNT 275 Week 4 Presentation (13 and 14) NEW

Prepare an 11- to 15-slide Microsoft® PowerPoint® presentation for the senior management team based on the business problem or opportunity you described 13 and 14

Include on the slides what you would want the audience to see (include appropriate visual aids/layout). In the Speaker Notes section, include what you would say as you present each slide. If any source material is quoted or paraphrased in the presentation, use APA citations and references.

Draw on material you developed in the 13 Research Problem and 14 Research Problem

Include the following in your presentation: 

·         Introduction slide

·         Agenda slide

·         Describe the organization, with a brief description

·         Explain the business problem or opportunity

·         Analyze why the business problem is important

·         Identify what variable would be best to measure for this problem and explain why

·         Apply data analysis techniques to this problem (tell which techniques should be used: descriptive stats, inferential stats, probability) and explain why

·         Apply a possible solution to the problem/opportunity, with rationale

·         Evaluate how data could be used to measure the implementation of such a solution

·         Conclusion

·         References slide (if any source material is quoted or paraphrased throughout the presentation)

Format your assignment consistent with APA guidelines.

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QNT 275 Week 4 Practice Set NEW

QNT 275 Week 4 Practice Set NEW

Find z for each of the following confidence levels. Round to two decimal places.
90%
95%
96%
97%
98%
99%
For a data set obtained from a random sample, n = 81 and x = 48.25. It is known
that σ = 4.8.

What is the point estimate of μ? Round to two decimal places
Make a 95% confidence interval for μ. What is the lower limit? Round to two decimal places.
Make a 95% confidence interval for μ. What is the upper limit? Round to two decimal places.
What is the margin of error of estimate for part b? Round to two decimal places.

Determine the sample size (nfor the estimate of μ for the following.
E = 2.3,  σ = 15.40, confidence level = 99%. Round to the nearest whole number.
E = 4.1,  σ = 23.45, confidence level = 95%. Round to the nearest whole number.
E = 25.9,  σ = 122.25, confidence level = 90%. Round to the nearest whole number.

True or False.
a.The null hypothesis is a claim about a population parameter that is assumed to be false until it is declared false.

True
False
An alternative hypothesis is a claim about a population parameter that will be true if the null hypothesis is false.
True
False
The critical point(s) divide(s) is some of the area under a distribution curve into rejection and nonrejection regions.
True
False
The significance level, denoted by α, is the probability of making a Type II error, that is, the probability of rejecting the null hypothesis when it is actually true.
True
False
The nonrejection region is the area to the right or left of the critical point where the null hypothesis is not rejected.
True
False

You are given the null hypothesis. Select the correct alternative hypothesis.
H0: μ = 5 hours, what is H1?
left-tailed test
right-tailed test
two-tail test

H0: μ = $105, what is H1?
left-tailed test
right-tailed test
two-tail test

H0: μ = $47,000, what is H1?
left-tailed test
right-tailed test
two-tail test
H0: μ = 10 minutes, what is H1?
left-tailed test
right-tailed test
two-tail test

H0: μ = 30 hours, what is H1?
left-tailed test
right-tailed test
two-tail test

Fill in the blank. The level of significance in a test of hypothesis is the probability of making a ________. It is the area under the probability distribution curve where we reject H0.
Type I error
Type II error
Type III error

Consider H0: μ = 45 versus H1: μ < 45. A random sample of 25 observations produced a sample mean of 41.8. Using α = .025 and the population is known to be normally distributed with σ = 6.
What is the value of z? Round to two decimal places.
Would you reject the null hypothesis?
Reject Ho
Do not reject Ho

The following information is obtained from two independent samples selected from two normally distributed populations.
n1 = 18      x1 = 7.82      σ1 = 2.35

n2 =15      x2 =5.99       σ2 =3.17

What is the point estimate of μ1 − μ2? Round to two decimal places.
Construct a 99% confidence interval for μ1 − μ2. Find the margin of error for this estimate.
Round to two decimal places.

 

The following information is obtained from two independent samples selected from two
populations.

n1 =650     x1 =1.05      σ1 =5.22

n2 =675     x2 =1.54         σ2 =6.80

Test at a 5% significance level if μ1 is less than μ2.

Identify the appropriate distribution to use.
t distribution
normal distribution

What is the conclusion about the hypothesis?
Reject Ho
Do not reject Ho

Using data from the U.S. Census Bureau and other sources, www.nerdwallet.com estimated that considering only the households with credit card debts, the average credit card debt for U.S. house- holds was $15,523 in 2014 and $15,242 in 2013. Suppose that these estimates were based on random samples of 600 households with credit card debts in 2014 and 700 households with credit card debts in 2013. Suppose that the sample standard deviations for these two samples were $3870 and $3764, respectively. Assume that the standard deviations for the two populations are unknown but equal.
Let μ1 and μ2 be the average credit card debts for all such households for the years 2014 and 2013, respectively. What is the point estimate of μ1 − μ2? Round to two decimal places. Do not include the dollar sign.
Construct a 98% confidence interval for μ1 − μ2. Round to two decimal places. Do not include the dollar sign.
What is the lower bound? Round to two decimal places.
What is the upper bound? Round to two decimal places.
Using a 1% significance level, can you conclude that the average credit card debt for such households was higher in 2014 than in 2013? Use both the p-value and the critical-value approaches to make this test.
Reject Ho
Do not reject Ho

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QNT 275 Week 4 Individual Assignment t-test I4 NEW

QNT 275 Week 4 Individual Assignment t-test I4 NEW

Individual Assignment: t-test I4: Identify a research problem different from the previous research problems that uses two different sets of the same type of data. Any subject may be chosen. Some examples: Sales from two different months or years. GPA’s of men and women. Number of two different shelf items sold (Coke & Pepsi) by month over a year. Home sales prices in different suburbs, cities, counties or states. You wish to determine if there is a significant difference between the means of the data sets. Select data that have absolute zero measurements (Ratio data). You may use recorded data or made up data. The n sample size should be at least 10 in each set, but not more than 29. Prepare a paper with a table of contents. Describe the research problem, research purpose and one research question. Include a definition of the variables you are measuring. List the data. List alpha, the null and alternative hypothesis, and give a brief back ground. Do MegaStat descriptive statistics on the data and do data analysis describing the data. Do runs plot graphs. Interpret the Goodness of Fit (GOF) p-value to decide if the data is parametric (normal) or nonparametric.

t-test: Open Excel, log in both data sets. Go to Add Ins, Megastat, Hypothesis Tests, Compare Two Independent Groups, left mouse click highlight Group 1 then Group 2, OK. Conclude. Use the I4 sample as a guide. This paper should be between 900-1200 words. Post as an Individual assignment. Title the document file “t-test I4″.

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QNT 275 Week 4 CLO Business Decision Making Project Part 2 (2 Papers) NEW

QNT 275 Week 4 CLO Business Decision Making Project Part 2 (2 Papers) NEW

CLO Business Decision Making Project, Part 2

Use the same business problem/opportunity and research variable you wrote about in Week 3.
Remember: do not actually collect any data; think hypothetically.
Develop a 1,050-word report in which you:
·         Identify the types of descriptive statistics that might be best for summarizing the data, if you were to collect a sample.
·         Analyze the types of inferential statistics that might be best for analyzing the data, if you were to collect a sample.
·         Analyze the role probability or trend analysis might play in helping address the business problem.
·         Analyze the role that linear regression for trend analysis might play in helping address the business problem.
·         Analyze the role that a time series might play in helping address the business problem.
Format your assignment consistent with APA guidelines.
Click the Assignment Files tab to submit your assignment.

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QNT 275 Week 3 Practice Set NEW

VQNT 275 Week 3 Practice Set NEW

Let x be a continuous random variable. What is the probability that x assumes a single value, such as a (use numerical value)?
The following are the three main characteristics of a normal distribution.
The total area under a normal curve equals _____.
A normal curve is ___________ about the Consequently, 50% of the total area under a normal distribution curve lies on the left side of the mean, and 50% lies on the right side of the mean.
Fill in the blank. The tails of a normal distribution curve extend indefinitely in both directions without touching or crossing the horizontal Although a normal curve never meets the ________ axis, beyond the points represented by µ – 3σto µ+ 3σ it becomes so close to this axis that the area under the curve beyond these points in both directions is very close to zero.
For the standard normal distribution, find the area within one standard deviation of the
mean that is, the area between μ − σ and μ + σ. Round to four decimal places.

 

Find the area under the standard normal curve. Round to four decimal places.
between z = 0 and z = 1.95
between z = 0 and z = −2.05
between z = 1.15 and z = 2.37
from z = −1.53 to z = −2.88
from z = −1.67 to z = 2.24

The probability distribution of the population data is called the (1) Table 7.2 in the text provides an example of it. The probability distribution of a sample statistic is called its (2) _________. Table 7.5 in the text provides an example it.
Probability distribution
Population distribution
Normal distribution
Sampling distribution

___________ is the difference between the value of the sample statistic and the value of the corresponding population parameter, assuming that the sample is random and no non-sampling error has been made. Example 7–1 in the text displays sampling error. Sampling error occurs only in sample surveys.
Consider the following population of 10 numbers. 20 25 13 19 9 15 11 7 17 30
Find the population mean. Round to two decimal places.
Rich selected one sample of nine numbers from this population. The sample included the numbers 20, 25, 13, 9, 15, 11, 7, 17, and 30. Calculate sampling error for this sample. Round to decimal places.

Fill in the blank. The F distribution is ________ and skewed to the right. The F distribution has two numbers of degrees of freedom: df for the numerator and df for the denominator. The units of an F distribution, denoted by F, are nonnegative.
Find the critical value of F for the following. Round to two decimal places.
df = (3, 3) and area in the right tail = .05
df = (3, 10) and area in the right tail = .05
df = (3, 30) and area in the right tail = .05

The following ANOVA table, based on information obtained for three samples selected from three independent populations that are normally distributed with equal variances, has a few missing values.
Source of
Variation

Degrees of
Freedom

Sum of
Squares

Mean
Square

Value of the
Test Statistic

Between 2 II 19.2813
Within
89.3677 III F = ___V__ = VII
VI

Total 12 IV 
Find the missing values and complete the ANOVA table. Round to four decimal places.
Using α = .01, what is your conclusion for the test with the null hypothesis that the means of the three populations are all equal against the alternative hypothesis that the means of the three populations are not all equal?
Reject H0. Conclude that the means of the three populations are equal.
Reject H0. Conclude that the means of the three populations are not equal.
Do not reject H0. Conclude that the means of the three populations are equal.
Do not reject H0. Conclude that the means are of the three populations are not equal.

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