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# Descriptive Statistics

### Five Statistics Probability Questions

1) An oil change shop advertised to change oil within 20 minutes. Based on the data collected on five days of work, what is the probability that oil change will take less than 20 minutes? Based on the data, do you think the business claim is valid? Explain why or why not. If not, what advertising claim could you make based upon

### Identifying Hypotheses and Statistical Analyses

Practical Application Scenario 1 You are the manager of the Gander Mountain store in Frogtown, Illinois. Recently, a customer mentioned that they believed your prices for ammunition were lower than the prices of Gander's primary competitor in the hunting equipment market, Cabela's. You would like to be able to include that stat

### Proper usage of the one-way, repeated measures, and factorial ANOVA

Find three research studies of interest to you that provide proper usage of the one-way, repeated measures, and factorial ANOVA. State the null hypothesis that was tested in each study. Interpret the F statistic for each study and make a determination regarding the null hypothesis (reject or fail to reject). Comment further o

### Measure of central tendency and dispersion

Measure of central tendency and dispersion allow researchers to analyze data more effectively. A quick serve restaurant chain commissioned a research study on the introduction of a new salad product. The survey asked the respondent for an assessment of the new salad. The questions included a rating from 0 (lowest) to 10 (highest

### Discussion on ANOVA, t test and F test

Below are a list of questions that I find particularly interesting to get some basic fundamentals down. There does not need to be much detail into any of these questions, just enough information to suffice the question (i.e. maybe a couple of sentences or key points). What is an ANOVA? Why is it called ANOVA (Explain the bas

### Using Excel to calculate descriptive statistics

Download the Excel file for HW3, which contains two sets of data for two variables. 1. For the first set of paired data (sheet 1): a) Make a scatterplot of the data. b) Use Excel functions to find the means and standard deviations of each variable. c) Working in Excel, calculate the correlation coefficient (r) by cr

### Power Analysis and type of quantitative test

Please help with type/s of analysis and power analysis. I am thinking ANOVA and Pearson's target population 60 nursing students (40 from the BSN program and 20 from the ASN program) Research Questions: Compare BSN students who have lecture to those who do not receive lecture on safety Compare ASN students who have lecture t

### Simple statistical calculations

Statistical Calculations 1. Use the data in the table below to 1. Prepare a frequency distribution of the respondents' ages 2. Cross-tabulate the respondents' genders with cola preference 3. Identify any outliers 2. Data on the average size of soda (in ounces) at all 30 major league baseball parks are as follows: 14

### Linear Optimization Model Problem

I need quick help with this problem and Excel SOLVER setup. I would like someone to review this, fix the solver issues and explain this problems outcome. Linear Optimization Model: Klein Industries manufactures three types of portable air compressors: small, medium, and large, which have unit profits of \$20.50, \$34.00, and

### Generating 95% Confidence Intervals

Data was collected in a clinical trial evaluating a new compound designed to improve wound healing in trauma patients. The new compound was compared against a placebo. After treatment for 5 days with the new compound or placebo, the extent of wound healing was measured and the data are shown in the table below. Suppose that clin

### The solution gives detailed steps on computing the variance inflation factor. All formula and calculations are shown and explained.

If the multiple coefficient of determination that relates x3 to all the other independent variables, R2(x3) = .8, calculate the variance inflation factor for x3. Should the analyst be concerned about multicollinearity? Why?

### Statistical Analysis for a Random Sample

Independent random samples from approximately normal populations produced the results shown below. Complete parts a and b. Sample 1: 42, 29, 38, 37, 40, 40, 22, 39, 57, 55 Sample 2: 70, 55, 50, 54, 52, 23, 30, 30, 43, 61 a. Do the data present sufficient evidence to conclude that u1 - u2 does not equal 0? Use alpha = 0.

### Probability, Normal Distribution, Binomial Probabilities

1. A brand name has 80% recognition rate. If the owner of the brand wants to verify that rate beginning with a small sample of 15 randomly selected consumers, find the probability that exactly 12 of the 15 consumers recognize the brand name. Also find the probability that the number who recognize the brand name is not 12. The p

### Solving Multiple Questions on Descriptive Statistics

1. Determine whether the description corresponds to an observational study or an experiment. Forty patients with skin cancer are divided into two groups. One group an experimental drug to fight cancer, the other a placebo. After two years, the spread of the cancer is measured. Does the description correspond to an observatio

### Various Statistical Situations

Compute the mean, median, and mode for the following three sets of scores. Do it by hand or using Excel. Show your work. Score 1 Score 2 Score 3 3 34 154 7 54 167 5 17 132 4

### Chi-Square Analysis: Sex vs. Year of College

Can you help with this sample question...Please end the solution in a doc file so I can open it..also could you send the minitab solution as well it helps me to follow...Thanks Conduct a chi-square analysis to determine whether sex and the year in college are related. Report your results in APA format and write one to two sen

### Logistic Multiple Regression Analysis Using SPSS

Thank you for your hard work on this - here is a note from a friend who is working on the same issue - he is referring to the SPSS input: The correct analysis was to run a hierarchical logistic regression entering perceive, safety and gender in the first block and previous, selfcon and sexexp in a second. I used forced entry

### Statistics: Probability with a Roulette Wheel and Population Data

Question: A roulette wheel has 38 slots, numbered 0, 00, and 1 to 36. The slots 0 and 00 are colored green, 18 of the others are red, and 18 are black. The dealer spins the wheel and at the same time rolls a small ball along the wheel in the opposite direction. The wheel is carefully balanced so that the ball is equally likely

University %w/debt amount\$ College %w/debt amount% Pace 72 32,980 Wartbug 83 28,758 Iowa State 69 32,130 Morehouse 94 27,000 Mass. 55 11,227 Wellesley

### Methods and Random Variables

Consider the experiment of tossing a coin twice. 1. List the experimental outcomes. 2. Define a random variable threat that represents the number of heads occurring on the two tosses. 3. Show what value the random variable would assume for each of the experimental outcomes. 4. Is the random variable discreet or continuous?

### Stats: Normal Distributions, Sample Means, and Null Hypotheses

1. To test Ho: μ=20 versus H1: μ<20, random sample size n=12 is obtained from a population that is known to be normally distributed with σ=2. a. If the sample mean is determined to be 18.3, compute P-value. b. If the researcher decides to test this hypothesis at the a=0.05 level of significance, will the researcher rejec

### Higher Levels of Stress and Lower Levels of Confidence

Can you help with this sample question and send the solution in a doc file so I can open it.... For this assignment, use the data This week, you will explore the hypothesis that higher levels of stress are associated with lower levels of confidence. Compute the correlation between the stress score and confidence scores

### Correlation: Age and Height Scenario

Can you help me with this sample question, the required data is in the attached Excel document. For this assignment, determine whether there is a correlation between age and height. Move your output into a Microsoft Word document and write a 1- to 2-sentence, APA-formatted interpretation of the results.

### Working with Correlated Variables

Determine whether the variable hours worked per week by an individual are correlated to the variable of the individual's satisfaction with his or her job. Be sure to use the proper df and show all the steps of the calculations. Also include an explanation of how the critical value was determined. Be sure to interpret the results

### Correlation: Happiness and Wealth

You are interested in knowing whether wealthier people are happier. You collected data from fifty people about their incomes and their overall happiness levels on a scale of 1 to 10. Upon analyzing the results, you find that the correlation coefficient has a value of −0.25. On the basis of this data, respond to the following:

### The solution gives detailed steps on solving 5 statistical problems using normally distributed data such as finding confidence intervals, finding z-score and finding p-value. All formula and calculations are shown and explained.

1. In a study designed to test the effectiveness of magnets for treating back pain, 40 patients were given a treatment with magnets and also a sham treatment without magnets. Pain was measured using a scale 0(no pain) to 100 (extreme pain). After given the magnet treatments, the 40 patients had pain scores with a mean of 10.0 an

### The solution gives detailed steps on solving 5 statistical problems. All formula and calculations are shown and explained.

1. For a sample with a mean of M=45, a score of X=59 corresponds to z=2.00. What is the sample standard deviation? 2. In a population of exam scores, a score of X=48 corresponds to z=+1.00 and a score of X=36 corresponds to z=-0.50. Find the mean and standard deviation for the population. 3. For each of the following popul

### Compute the standard error of the sample mean.

Question: Suppose N = 80000, n = 16000 and s = 50. a. Compute the standard error of the sample mean using the finite population correction factor. b. Repeat part a assuming n= 32000. c. Repeat part a assuming n = 80000. d. Compare parts a, b and c, and describe what happens to the standard error of the sample mean as n i

### Determining the Sampling Distribution

Question: If you wish to estimate a population mean with a sampling distribution error SE = 0.28 using a 95% confidence interval and you know from prior sampling that sigma^2 is approximately equal to 5.4, how many observations would have to be included in your sample?

### Solve: 99% Confidence Interval

7. The random sample shown below was selected from a normal distribution. 8, 3, 6, 10, 6, 3 Complete parts a and b. Construct a 99% confidence interval for the population mean. Round to two decimal places as needed. Assume that the sample mean and sample standard deviation remains exactly the same as those you just calc