Recent Calculus and Above Questions

Please see attached question:

Problem Situation: The CEO of your company has asked you, the human resource manager, to conduct a study to determine whether or not male managers and female managers perceive leadership styles differently and, if differences are found, to develop a training program that will benefit gender differences in leadership. To this end you selected, randomly, 10 male managers and 10 female managers to participate in your study. To each manager a leadership style survey questionnaire was administered. The questionnaire chosen was the Blake & Mouton Managerial Grid as it assesses leadership behavior. The numeric raw data results of the 18 question study are as follows:
Raw Numeric Questionnaire Data
Question 1 2 3 4 5 6 7 8 9
Male 4 4.6 3.2 3.9 4.2 3.7 4.1 4.5 3.5
Female 4.2 4.1 4.2 4.6 3.9 4.1 4.7 4.1 4.2
Raw Numeric Questionnaire Data
Question 10 11 12 13 14 15 16 17 18
Male 4 3.9 4 3 4.5 4.9 3 3.3 3
Female 4 4.2 4.1 4 4.5 4.3 3.9 4 3.7

Complete the following in a single MS Word or Excel document:
1. Calculate the mean, median, mode, variance, and standard deviation for the numeric data.

2. Construct a histogram, pie, or Stem-Leaf Display chart encompassing the mean leadership scores for both male and female managers. Use an online interactive program to formulate your histogram, pie charts, or Stem-Leaf Display.

3. Construct a histogram for median score values for male managers and female managers with respect to management style.

4. Analyze the data and present preliminary conclusions based on answers to questions #2 and #3 with respect to the leadership style differences between male and female managers.

5. Offer a brief 5-point summary of the training program you might use to strengthen the leadership deficiencies found in either or both the male and female manager leadership style.

I Need someone to answer 10 MULTIPLE CHOICE QUESTIONS FOR BEHAVIORAL SCIENCE STATISTICS PSYC 258 within ONE HOUR! Please help!

Question 1


Given a sample with 5 scores: 4, 6, 8, 10, and y, and the mean of this sample is 6, what is the variance of the sample? (Hint: first find y). Blank 1
Answer
1 points (Extra Credit)
Question 2


Given a population mean weight of 150 pounds and a population standard deviation 40 pounds, express an individual weight of 200 pounds as a z-score. (to two decimal places, e.g.: 3.21 or 6.00) Blank 1
Answer
1 points (Extra Credit)
Question 3


Find the correlation coefficient for these scores (they are given in the form (x1,y1), (x2,y2) etc): (0,1), (10,3), (4,1), (8,2), (8,3) (express this to 3 decimal places, e.g.: .123 or -.456) Blank 1
Answer
1 points (Extra Credit)
Question 4


Use the least squares regression equation to find the predicted Y value for an X value of 5, given: r = .3, SSy=64 , SSx=4 , mean of y= 30, mean of x= 10 Blank 1
Answer
1 points (Extra Credit)
Question 5


You're going skydiving, because you're awesome. The main parachute has to do two things to keep you alive: release when you pull the cord, (probability of releasing = .9) AND unfold properly (probability of unfolding = .8). Unfolding is independent of releasing. OR, if anything goes wrong, your backup parachute will save you (probability of backup working = .7). The backup parachute only comes into play if the first parachute fails. What is the probability that you survive, i.e. that either your primary OR secondary parachute will work? (Hint: this combines both independent and mutually exclusive events, and the answer will be greater than .9). Give the answer to three decimal places, e.g.: .999 Blank 1
Answer
1 points (Extra Credit)
Question 6


Does eating vegetables instead of delicious foods affect how long you live? Given a population life expectancy of 75 years with population standard deviation 5 years, What is the z-value for a random sample of 25 vegans who live to an average age of 73? Does this alter life expectancy at a .05 level of significance? Type the z-value in box 1 to two decimal places (e.g. 3.45), and in box 2 type either yes or no (yes if this is statistically significant and you reject the null, no if it is not significant and you fail to reject the null). Blank 1 Blank 2
Answer
1 points (Extra Credit)
Question 7


A similar follow-up study is done on a sample of 25 meat-lovers who never eat vegetables, again randomly selected from the same general population (population mean life expectancy = 75, population standard deviation = 5). This new sample of meat-eaters live to an average age of 77. What is the lower limit and upper limit of the 95% confidence interval for the life expectancy of this sample of meat-lovers? Type the lower limit in box 1 and the upper limit in box 2, to two decimal places in each case. Blank 1 Blank 2
Answer
1 points (Extra Credit)
Question 8


Is working out every day BETTER than working out every other day but for twice as long? A random sample of 42 people are assigned to two groups of equal size: Group 1 works out every day for one hour, Group 2 works out every other day for two hours, and then after a month they are tested for how many pushups they can do in one minute. Group 1 participants do an average of 43 pushups, Group 2 participants do an average of 32 pushups. Given an estimated standard error of 6 pushups, what is the t-value? Is the Group 1 workout plan statistically significantly BETTER than the Group 2 workout plan, at the .05 level? Give the calculated t-value to two decimal places in box 1, and in box 2 type either yes (if it is statistically significant and you reject the null) or no if it is not significant. Blank 1 Blank 2
Answer
1 points (Extra Credit)
Question 9


Does study group size affect test performance? From a large class of students, 12 are selected to study for a test either all alone, with a partner, or with a group of other students. The four students who studied alone scored: 7, 10, 9, and 6; the four students who studied with a partner scored: 8, 8, 9, and 7; and the four students who studied in groups scored: 7, 6, 4, and 3. What is the F-value for this study (type in box 1 to two decimal places), and is there a statistically significant effect of study group size on test performance at the .05 level, based on this data (type yes or no in box 2)? Blank 1 Blank 2
Answer
1 points (Extra Credit)
Question 10


Do blondes have more fun? Walking around downtown saturday night, you ask people whether they had a boring time, a good time, or a great time that night, and note their hair color. Out of 80 blondes: 20 had a boring night, 20 had a good night, and 40 had a great night

Question 1

A group of investors wants to develop a chain of fast-food restaurants. In determining potential costs
for each facility, they must consider, among other expenses, the average monthly electric bill. They
decide to sample some fast-food restaurants currently operating to estimate the monthly cost of
electricity. They want to be 90% confident of their results and want the error of the interval estimate to
be no more than $100. They estimate that such bills range from $600 to $2,500. How large a sample
should they take?

Question 2

Suppose a study reports that the average price for a gallon of self-serve regular unleaded gasoline is
$3.16. You believe that the figure is higher in your area of the country. You decide to test this claim
for your part of the United States by randomly calling gasoline stations. Your random survey of 25
stations produces the following prices (all in $). Assume gasoline prices for a region are normally
distributed. Do the data you obtained provide enough evidence to reject the claim? Use a 1% level of
significance.

3.27 3.29 3.16 3.20 3.37
3.20 3.23 3.19 3.20 3.24
3.16 3.07 3.27 3.09 3.35
3.15 3.23 3.14 3.05 3.35
3.21 3.14 3.14 3.07 3.10

Question 3

Where do CFOs get their money news? According to Robert Half International, 47% get their money
news from newspapers, 15% get it from communication/colleagues, 12% get it from television, 11%
from the Internet, 9% from magazines, 5% from radio, and 1% do not know. Suppose a researcher
wants to test these results. She randomly samples 67 CFOs and finds that 40 of them get their
money news from newspapers. Does the test show enough evidence to reject the findings of Robert
Half International? Use a = .05.

Question 4

To answer this question, use the Data Analysis Toolpack in Excel and select “t-Test: Two-Sample
Assuming Equal Variances” from the list of available tools. Explain your answer (how did you decide if
men spend more) and include the output table. Some studies have shown that in the United States,
men spend more than women buying gifts and cards on Valentine’s Day. Suppose a researcher
wants to test this hypothesis by randomly sampling nine men and 10 women with comparable
demographic characteristics from various large cities across the United States to be in a study. Each
study participant is asked to keep a log beginning one month before Valentine’s Day and record all
purchases made for Valentine’s Day during that one-month period. The resulting data are shown
below. Use these data and a 1% level of significance to test to determine if, on average, men actually
do spend significantly more than women on Valentine’s Day. Assume that such spending is normally
distributed in the population and that the population variances are equal.
Men Women

107.48 125.98
143.61 45.53
90.19 56.35
125.53 80.62
70.79 46.37
83.00 44.34
129.63 75.21
154.22 68.48
93.80 85.84
126.11