## What P-value is significant?

# What P-value is significant?

Table of Contents

## What P-value is significant?

Most authors refer to statistically significant as P < 0.05 and statistically highly significant as P < 0.001 (less than one in a thousand chance of being wrong).

## How many participants are needed for a survey?

All you have to do is take the number of respondents you need, divide by your expected response rate, and multiple by 100. For example, if you need 500 customers to respond to your survey and you know the response rate is 30%, you should invite about 1,666 people to your study (500/30*100 = 1,666).

## What is a good response rate for surveys?

50%

## What is p-value in Spearman’s correlation?

The p (or probability) value obtained from the calculator is a measure of how likely or probable it is that any observed correlation is due to chance. P-values are determined by the observed correlation Rs value and the sample size. Small p-values are strong evidence against the null hypothesis H0.

## What correlation is significant?

If r is not between the positive and negative critical values, then the correlation coefficient is significant. If r is significant, then you may want to use the line for prediction. Suppose you computed r=0.801 using n=10 data points.

## What makes a survey reliable?

A survey instrument is said to have high reliability if it produces similar results under consistent conditions, and any change would be due to a true change in the attitude, as opposed to changing interpretation (i.e., a measurement error).

## What percentage is statistically significant?

A p-value of 5% or lower is often considered to be statistically significant.

## Which of the following correlations is the strongest?

The Correlation Coefficient When the r value is closer to +1 or -1, it indicates that there is a stronger linear relationship between the two variables. A correlation of -0.97 is a strong negative correlation while a correlation of 0.10 would be a weak positive correlation.

## What may have an adverse effect of a correlation coefficient?

A outlier in data set can either increase or decrease the value of r. Other factors being equal, a restricted range usually yields a smaller correlation. A negative association between X and Y variables also adversely effect the value of r.

## How can I get my survey answered?

Here are four effective methods for increasing your survey response rates, from sending the right message to offering incentives:

- The Main Message: Make Them Feel Special.
- Eye on the Prize: Provide Incentives.
- Don’t Waste Their Time: Keep Surveys Relevant.
- Be Top-of-Mind: Offer Surveys in Multiple Channels.

## How do you know if two means are statistically different?

Often, researchers choose significance levels equal to 0.01, 0.05, or 0.10; but any value between 0 and 1 can be used. Test method. Use the two-sample t-test to determine whether the difference between means found in the sample is significantly different from the hypothesized difference between means.