24 D) for confounding variable are the following valid? education level, income, socio economic, and peer pressure?
25) is parameter correct ?
ANS- 24(D)
Firstly introduce
Confounding variable- A confounding variable is an “extra” variable that you didn’t account for. They can ruin an experiment and give you useless results. They can suggest there is correlation when in fact there isn’t. They can even introduce bias. That’s why it’s important to avoid getting them into your experiment.In an experiment, the independent variabletypically has an effect on your dependent variable. For example, if you are researching whether lack of exercise leads to weight gain, lack of exercise is your independent variable and weight gain is your dependent variable. Confounding variables are any other variable that also has an effect on your dependent variable. They are like extra independent variables like age that are having a hidden effect on your dependent variables like .
✓ Geographic location, family functioning, parental alcohol abuse, and lifetime use of marijuana, crack/cocaine, and inhalants were all independently associated with increased risk of lifetime meth use by teen. Social economic and education level are confounded variable which has an effect on meth use by teen.
Ans-25
Parameter is a population constant that describes the population. Eg. population mean, population variance etc.
Statistic is function of sample values which is a characteristic of sample . Eg. Sample mean, sample variance etc.
✓ Hera the average cost of Gym membership in US is 34$ that is fixed and representing the whole US Gym membership.
Hence $34 is representing the parameter.
24 D) for confounding variable are the following valid? education level, income, socio economic, and peer...
25) Is it parameter or statistic? Please, explain why. a high school degree; high school degree; more than high school degree. 24) A researcher wants to investigate a correlation between meth use as a teen, and having marital problems as an adult a) Identify the population b) What are the two groups that are being compared? c) What is the explanatory variable? What is the response? d) Find a confounding variable. e) Which type of study is more appropriate: observational...
17 b, 18, and 21 please and show all work. c) Construct a cumulative distribution table 17) The following table data are characteristics of voting age population regarding a recent election Males Fem ales Voted 230 370 Did not vote 400 240 a) When a person is chosen at random, find the probability that the person did not vote, given that the person is female b) When a person is chosen at random, find the probability that the person is...
can you please do 30, 31, 37, 39b and show work? 30) A machine has a probability 0.03 of producing a defective glf b When 3 golf balls are manufactured by this machine, find the probability that none of the golf balls is defective 31) When three people are selected randomly, find the probability that their birthdays are all different 32) The mean credit card debt for college students in the U.S. is $2100. Is 2100 a parameter or statistic?...
1. Many companies use a incoming shipments of parts, raw materials, and so on. In the electronics industry, component parts are commonly shipped from suppliers in large lots. Inspection of a sample of n components can be viewed as the n trials of a binomial experimem. The outcome for each component tested (trialD will be that the component is classified as good or defective defective components in the lot do not exceed 1 %. Suppose a random sample of fiver...