Smoking during pregnancy can cause a baby to be born too early or to have low birth weight. Design a study that would test this statement.? Describe the problem? What is the sample size? Variable should be define? Parametric or nonparametric? Make the conclusion?

Use technology and the given confidence level and sample data to find the confidence interval for the population mean mu μ. Assume that the population does not exhibit a normal distribution. Weight lost on a diet:

90% confidence n=41 x x=3.0 kg s=5.6 kg

What is the confidence interval for the population mean mu μ​? _<μ<_

Creating a Digital Survey

Create the shareable link for your survey and paste it in as the submission for this assignment.

Collect the following information:

Age

Gender

Birth Month

Height (in Inches)

Shoe Size

Eye Color

Number of hours of TV (movies, streaming, etc.) watched last night

Number of credits currently taking

Number of hours of sleep gotten last night

Number of hours worked last week

Number of songs on digital music player

Number of friends on Facebook

Number of times per day check social media sites

Number of tattoos

Number of siblings

Time usually go to bed

Level of Math anxiety (none, low, medium, high)

Cell phone carrier

Incorporate the following additional requirements onto your survey:

An answer field of each of the following types: Short Answer, Multiple Choice, Dropdown, Time

Add response validation to at least one of your Short Answer fields

Add at least one section break

You may need to use the appropriate appendix table or technology to answer this question.

According to the National Association of Colleges and Employers, the 2015 mean starting salary for new college graduates in health sciences was $51,541. The mean 2015 starting salary for new college graduates in business was $53,901. † Assume that starting salaries are normally distributed and that the standard deviation for starting salaries for new college graduates in health sciences is $11,000. Assume that the standard deviation for starting salaries for new college graduates in business is $17,000.

(a)

What is the probability that a new college graduate in business will earn a starting salary of at least $65,000? (Round your answer to four decimal places.)

(b)

What is the probability that a new college graduate in health sciences will earn a starting salary of at least $65,000? (Round your answer to four decimal places.)

(c)

What is the probability that a new college graduate in health sciences will earn a starting salary less than $46,000? (Round your answer to four decimal places.)

(d)

How much would a new college graduate in business have to earn in dollars in order to have a starting salary higher than 99% of all starting salaries of new college graduates in the health sciences? (Round your answer to the nearest whole number.)

$

The accompanying data represent the miles per gallon of a random sample of cars with a​ three-cylinder, 1.0 liter engine. ​(a) Compute the​ z-score corresponding to the individual who obtained 32.7 miles per gallon. Interpret this result. ​(b) Determine the quartiles. ​(c) Compute and interpret the interquartile​ range, IQR. ​(d) Determine the lower and upper fences. Are there any​ outliers?

1. Forecast the price index for Q3 2018 using a​ two-period simple moving average.

(Round to two decimal places)

2. Calculate the MAD for the forecast in part a

(Round to two decimal places)

3. Forecast the price index for Q3 2017 using a​ three-period simple moving average.

(Round to two decimal places)

4. Calculate the MAD for the forecast in part c.

(Round to two decimal places)

The 58th annual convention of the American Legion was held in Philadelphia from July 21 until July 24, 1976. People at the convention included American Legion delegates, their families, and other Legionnaires who were not official delegates. Between July 20 and August 30, some of those who had been present became ill with a type of pneumonia that was subsequently named Legionnaires' disease. No one attending the convention developed the disease after August 30th. The number of delegates who developed Legionnaires' disease during the period of July 20 to August 30 are as follows:

Developed Legionnaires' Disease

Determine if the null hypothesis is true:There is no association between Delegates and Legionnaires' Disease.

For the data set

(a) Find the 79th percentile.

(b) Find the 44th percentile.

(c)Find 19th percentile.

(d) Find the 66th percentile.

Summarize key data distribution concepts including probability mass functions (PMF), probability density functions (PDF), and cumulative distribution functions (CDF). Based on your organization or any organization you are most familiar with, provide an example of a PMF, an example of a PDF, and an example of a CDF, based on the type of data used in the organization. How would you summarize each of these to someone who is not familiar with each of these functions?

1. What are the assumptions for various forms of hypothesis testing?

2. Compare the sampling distribution with the population distribution. Consider how variance may or may not differ between the two.

3. If we reject a null hypothesis of no difference, what are the odds that we made a correct decision?

4. Type I and Type II error. How is alpha related to this? How is the critical region related to type II error? If the null is true, what is the probability of type II error?

5. What values can alpha be and not be? Can alpha be 0? Why?

6. How can we increase the probability that a confidence interval will include the population parameter?How can we increase the width of a confidence interval? How can we decrease the width?

Each value represents the number of mistakes (defects) found on a student loan application. Values for 50 consecutive loan applications are given. Calculate the appropriate centerline and 3-sigma control limits for the c-chart, and then plot the data and create a control chart. Does the process appear to be in a state of statistical control? Why or why not?

Upper control limit (UCL) =

Centerline (CL) =

Lower control limit (LCL) =

Process in statistical control?

Expense Report Auditing

1. Hair Color and Job Title are examples of:

1. continuous variables
2. categorical variables
3. quantitative variables
4. ordinal variables
5. numerical variables
6. discrete variables

none of the above

A basket contains 100 balls.40 are red,45 are orange and 15 are yellow.Three balls will be drawn out one at a time at random with replacement.Match the probabilities.

(a) P(all three draws are red)

(b) P(all three draws are orange)

(c) P(at least one draw is red)

(d) P(at least one draw is orange)

2.Refer to the previous question about the balls in the basket.Instead of drawing out three balls one at a time with repalcement, suppose we selected balls one at a time at random without replacement until all the yellow balls were removed from the basket. Y=the number of draws necessary.What are the possible values of Y.

(a)[15,16,17,18...] (b)[15,1617,18...100] (c)[0,1,2,3...15] (d)[1,2,3,...85]

Here is a bivariate data set.
x   y
59.7   6.1
50.8   22.6
60.7   -1
44.2   28.3
53   13.8
52.5   16.3
45.7   26.4
51.2   30.8
53.7   4.9

Find the correlation coefficient and report it accurate to three decimal places.
r =

What proportion of the variation in y can be explained by the variation in the values of x? Report answer as a percentage accurate to one decimal place.
r² =
%
% of the variation in y can be explained by the variation in the values of x.
LicensePoints possible: 1

1.

2.