# Which of the following would be an appropriate null hypothesis

- Understanding Null Hypothesis Testing
- Which of the following would be an appropriate null hypothesis?

## Understanding Null Hypothesis Testing

Which of the following would be an appropriate null hypothesis? the mean of the population is equal to 55 the population proportion is not less than Which of.

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Generally to understand some characteristic of the general population we take a random sample and study the corresponding property of the sample. We then determine whether any conclusions we reach about the sample are representative of the population. This is done by choosing an estimator function for the characteristic of the population we want to study and then applying this function to the sample to obtain an estimate. By using the appropriate statistical test we then determine whether this estimate is based solely on chance. The hypothesis that the estimate is based solely on chance is called the null hypothesis. Thus, the null hypothesis is true if the observed data in the sample do not differ from what would be expected on the basis of chance alone.

A null hypothesis is a type of hypothesis used in statistics that proposes that no statistical significance exists in a set of given observations. The null hypothesis attempts to show that no variation exists between variables or that a single variable is no different than its mean. It is presumed to be true until statistical evidence nullifies it for an alternative hypothesis. For example, if the hypothesis test is set up so that the alternative hypothesis states that the population parameter is not equal to the claimed value. If the null hypothesis is accepted or the statistical test indicates that the population mean is 12 minutes, then the alternative hypothesis is rejected. And vice-versa. The null hypothesis, also known as the conjecture, assumes that any kind of difference or significance you see in a set of data is due to chance.

Researchers would like the probability of which of the following research decision outcomes to be the greatest? Statistical Power 1.

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As we have seen, psychological research typically involves measuring one or more variables for a sample and computing descriptive statistics for that sample. Thus researchers must use sample statistics to draw conclusions about the corresponding values in the population. Imagine, for example, that a researcher measures the number of depressive symptoms exhibited by each of 50 clinically depressed adults and computes the mean number of symptoms. The researcher probably wants to use this sample statistic the mean number of symptoms for the sample to draw conclusions about the corresponding population parameter the mean number of symptoms for clinically depressed adults. Unfortunately, sample statistics are not perfect estimates of their corresponding population parameters.

Multiple Choice 1. You are testing an hypothesis about how much time preschool children watch television per day. You hypothesize that the population mean is minutes. Which of the following would be an appropriate null hypothesis for such a study? If an experimenter sets equal to. An experimenter tested a sample mean against an hypothesized population mean.

Robert Patterson, an options trader, believes that the return on options trading is higher on Mondays than on other days. In order to test his theory, he formulates a null hypothesis. Which of the following would be an appropriate null hypothesis? Returns on Mondays are:. What is null H 0 and alternative H a hypothesis for his study? What is null H 0 and alternative H a hypothesis for her study?

## Which of the following would be an appropriate null hypothesis?

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