The table below gives concordance and discordance percentages with regard to different types ofpairs (monozygotic twins, dizygotic twins, etc.) and a disease outcome that may have a geneticcomponent. Are these data consistent with there being a genetic component?concordance % discordance %Monozygotic twins7921Dizygotic twins2476Siblings2179Parent/offspring1684Spouse595YesO No

According to the given five cases(Monozygotic twins, Dizygotic twins, Siblings, parent/ offspring,…

Answered: The table below gives concordance and…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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The table below lists pitches in a baseball game for two pitchers and the breakdown of “strikes” and “balls” (good pitches and bad pitches). The summary statistics are also listed. Pitcher Strikes Balls Total Bumgarner 76 32 108 Cueto 76 41 117 Bumgarner Cueto Sample Mean (pitches per inning) 12.0 13.0 Sample Variance (pitches per inning) 3.5 8 Sample Size (# of innings) 9 9 (an “inning” is one of the rounds in a game) Q : Perform a hypothesis test to see if the proportion of throwing strikes for Bumgarner and Cueto is not equal for the entire season. Set the Type I…
MY NG The college physical education department offered an advanced first aid course last summer. The scores on the comprehensive final exam were normally distributed, and the z-scores for some of the students are shown below. Robert 1.08 Juan 1.88 Haley -1.94 Joel 0.00 Jan - 0.96 Linda 1.76 (a) Which of these students scored above the mean? (Select all that apply.) O Robert V Juan O Haley O Joel O lan A Linda (b) Which of these students scored on the mean? (Select all that apply.) O Robert O Juan O Haley O Joel O Jan O Linda P Type here to search 12:46 PM 78°F AQI 52 7/30/2021 %2:
Page of 3 IV. A researcher has 10 participants rate their mood (-100 = extremely negative, +100 extremely positive) before watching a sad movie and after watching a sad movie. Their mood ratings prior to watching the movie and after watching the movie are listed below. Assume that both sets of mood ratings come from normally distributed populations with equal variances. Participant 1 Prior After -10 22 43 23 23 3 20 -12 40 34 6. 56 51 19 -30 -38 7 8. 20 3 10 15 10 Does watching the sad movie affect participants' moods (use a = .02, two-tailed)? A. What are the null hypothesis and the alternative hypothesis? B. What are the critical value(s) (make sure to indicate what degrees of freedom were used to determine this)? C. Use SPSS to calculate your test statistic. D. Explain why you would or would not reject the null hypothesis. E. Use SPSS to help you calculate Cohen's d and r2 (measures of effect size) F. Use SPSS to calculate a 98% CI for the mean difference in mood across time.…
Buckle up! - How does seat belt use vary with drivers' ethnic group? It is well known that location and gender (males are less likely to buckle up) are factors. Here is the data and the mosaic plot for a random sample of male drivers observed in Houston. Ethnic group of driver Belted Not Belted Total Black 277 99 376 Hispanic 373 164 537 White 197 62 259 Total 847 325 1172 Ethnicity Hispanic Black White Use of Seat Belt wearing a seat belt not wearing a seat belt
Statistics Question
you are given the following information about x and y. xi independebt varible yi dependent varible 4 12 6 3 2 7 4 6 The sample correlation coefficient equals _____.
Why is it important to report both a measure of central tendency and variability to describe a set of scores? Group of answer choices Sets of data with different central tendencies may have different patterns of variability. Sets of data with the same central tendency may have the same patterns of variability. Sets of data with the same variability may have different patterns of central tendency. Sets of data with the same central tendency may have different patterns of variability.
4. Which one of the following data sets has more than one mode? O A. (10, 20, 30, 30, 40, 50, 50) O B. (10, 20, 30, 40, 50, 70, 70) O C. (20, 20, 30, 30, 30, 40, 40) O D. (10, 20, 30, 40, 50, 60, 70)
The following table shows a sample dataset of observation values of an independent variable, Age, and a dependent variable, number of toys Age 5 3 6 3 4 4 6 8 Toys 13 15 7 12 13 11 9 5 What is the value of Toys when Age is 7 (round your answer without decimal)
Online clothes An online clothing retailer keeps trackof its customers’ purchases. For those customers who signed up for the company’s credit card, the com-pany also has information on the customer’s Age and Income. A random sample of 500 of these customers shows the following scatterplot of Total Yearly Pur-chases by Age:The correlation between Total Yearly Purchases and Age isr = 0.037. Summary statistics for the two variables are: a) What is the linear regression equation for predictingTotal Yearly Purchase from Age?b) Do the assumptions and conditions for regressionappear to be met?c) What is the predicted average Total Yearly Purchasefor an 18-year-old? For a 50-year-old? d) What percent of the variability in Total Yearly Pur-chases is accounted for by this model? e) Do you think the regression might be a useful one forthe company? Explain.
2
Interaction a. What is an interaction between two factors? b. In general, when using two-way analysis of variance, if we find that there is an interaction effect, how does that affect the procedure? c. Shown below is an interaction graph constructed from the data in Exercise 1. What does the graph suggest?

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