A professor in a university is trying to conduct a research study. His study is trying to determine if his 8 am lecture is more interactive with him than his 2 pm lecture. What is the confound? How could this confound be fixed?
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A professor in a university is trying to conduct a research study. His study is trying to determine if his 8 am lecture is more interactive with him than his 2 pm lecture.
- What is the confound?
- How could this confound be fixed?
Introduction:
It is required to identify the confounding variable, and suggest a solution to fix it.
Step by step
Solved in 2 steps
- The following data was collected to explore how the number of square feet in a house, the number of bedrooms, and the age of the house affect the selling price of the house. The dependent variable is the selling price of the house, the first independent variable (x1x1) is the square footage, the second independent variable (x2x2) is the number of bedrooms, and the third independent variable (x3x3) is the age of the house. Effects on Selling Price of Houses Square Feet Number of Bedrooms Age Selling Price 2823 5 1313 297100 2659 4 1313 281600 2589 3 1111 277300 2539 3 1010 276300 1954 3 55 224300 1927 3 44 215000 1785 3 33 172700 1627 2 22 172000 1133 2 22 111700 Step 1 of 2 : Find the p-value for the regression equation that fits the given data == what is the p-value for the regression equation?Amit Almor, a psychology researcher at the University of South Carolina, conducted a series of experiments on conversation and attention level. He found that subjects were four times more distracted while preparing to speak or speaking than when they were listening. This research has many implications, including those for the issue of using cell phones while driving. You decide to explore this issue by having three different groups try tracking a fast-moving target on a computer screen. The first group is preparing to speak, the second group is speaking, and the third group is listening to a conversation. The sample mean and sum of squares of the scores for each of the three groups are presented in the following table. Group Sample Mean Sum of Squares Preparing to speak 98.3 7,2810.0900 Speaking 101.5 6,6156.8100 Listening 103.2 70,277.7600 After collecting the data, you analyze the data using an ANOVA. The results of your analysis are presented in the following…You planned to make an investment in a food restaurant business near your area. There are two food restaurants that caught your interest, Restaurant A and Restaurant B. Restaurant A caters to both online food delivery orders and dine-in orders while Restaurant B caters to both dine-in and take- out orders. In order for you to make a better choice, you asked about the daily sales of the restaurants for the month of February. Restaurant A February Sales 300, 250, 500, 300, 300, 250, 500, 1000, 250, 1000, 500, 250, 750, 1000, 300, 250, 750, 500, 500, 1000, 750, 1000, 300, 800, 450, 800, 450, 250. Restaurant B February Sales 150 350 500 150 150 1500 800 750 500 350 350 150 150 800 350 1500 1500 800 750 150 150 350 350 1500 250 350 250 350 Which restaurant you're going to make your investment, Restaurant A or Restaurant B? Provide justification to your answers by comparing the means and standard deviation of the sales of the two restaurants. Explain your answers briefly and be guided with…
- The design of controls and instruments affects how easily people can use them. Timothy Sturm investigated this effect in a course project, asking 25 right‑handed students to turn a knob (with their right hands) that moved an indicator by screw action. There were two identical instruments: one with a right‑hand thread (the knob turns clockwise) and the other with a left‑hand thread (the knob turns counterclockwise). The table gives the times, in seconds, each subject took to move the indicator a fixed distance. Performance times (seconds) using right‑hand and left‑hand threads Subject Right Thread Left Thread 1 113 137 2 105 105 3 130 133 4 101 108 5 138 115 6 118 170 7 87 103 8 116 145 9 75 78 10 96 107 11 122 84 12 103 148 13 116 147 Performance times (seconds) using right‑hand and left‑hand threads Subject Right Thread Left Thread 14 107 87 15 118 166 16 103 146 17 111 123 18 104 135 19 111 112 20 89 93 21 78 76 22 100 116 23 89…Several states have argued that the 65-mph speed limit has no justification and have refused to enforce it. The federal Department of Transportation (DOT) believes that the 65-mph limit saves lives. To illustrate its contention, the department regressed the number of traffic fatalities (Y) last year in a state on the state’s population (X1), the number of days of snow cover (X2), and the average speed of all cars (X3). The results are shown below. From the results shown above, write the regression equation. What proportion of variation in the number of traffic fatalities can be explained by the regression model?Please don't provide handwriting solution
- Recent research commissioned by Vodafone suggests that older workers are the happiest employees (BBC News, July 21, 2008). The report documents that 70% of older workers in England feel fulfilled, compared with just 50% of younger workers. A demographer believes that an identical pattern does not exist in Asia. A survey of 120 older workers in Asia finds that 75 feel fulfilled. A similar survey finds that 58% of 210 younger workers feel fulfilled. (You may find it useful to reference the appropriate table: z table or t table) At the 5% level of significance, test if older workers in Asia feel less fulfilled than their British counterparts. a-1. Select the null and the alternative hypotheses. multiple choice 1 H0: p = 0.70; HA: p ≠ 0.70 H0: p ≤ 0.70; HA: p > 0.70 H0: p ≥ 0.70; HA: p < 0.70 a-2. Calculate the sample proportion. (Round your answer to 3 decimal places.) a-3. Calculate the value of test statistic. (Negative value should be indicated…Suppose we wish to compare the variation in diameters of parts produced by company A with the variation in diameters of parts produced by company B. The sample variance of company A, based on n = 19 diameters, was, s1 2 = 0.0012, while the sample variance of the 20 diameter measurements from the company B has sample variance, s2 2 = 0.0017. Do the data provide sufficient information to indicate a larger variance in diameters for company B?. Test with X = 0.1.65,76,82,77,67,92,63,85,97,79,89,50,71,50,91,85,77,85,79,18,89 mode is 85 This type of mode is ??
- A researcher is investigating a new screening tool that is intended to help prevent the onset of breast cancer in young women. Suppose he tests the new device on a group of 10 women. The following table shows the test result and true breast cancer status of each of the women. What can we say about the new device with regards to its accuracy? Patient Test Result True Cancer Status A + + B + + C + - D + - E - + F - + G + - H - + I - - J + -A high school principal decides to conduct a study in which she examines two chemistry classes in her high school. Her goal is to explore the effectiveness of two different instructional techniques she has become acquainted with and she will determine effectiveness through course grades. One class is taught by Ms. Howes, who will be using an instructional technique called "Chemistry Applications." The other class is taught by Ms. Moore, who will be using an instructional technique called "Chemistry In the Real World." What type of study is the principal planning on conducting? Question 19 options: A) A correlational study B) A quasi-experimental study C) A descriptive study D) A mixed-methods studyA new cream was developed to reduce the irritation caused by poison ivy. To test the effectiveness, researchers put an ad online asking for volunteers to participate in the study. One hundred subjects replied and were informed that one group would receive the new cream and the other would receive a cream with no active ingredient. All 100 subjects were exposed to poison ivy. Fifty were then assigned to the group with the new cream, and 50 were assigned to the group with the cream with no active ingredient. After three days, technicians recorded the subjects’ level of irritation. Which of the following would benefit this experiment the most? This experiment should be single blind. The subjects will not know which treatment they are receiving to control for the placebo effect, but the technicians need to know which group received the new cream. This experiment should be double blind. Neither the subject nor the technician knows which group is receiving the new cream to control for…