To examine the relationship between physical activity and diagnosis with diabetes, the researcher should perform a chi-square test of independence. This unadjusted analysis will help to determine if there is a significant association between physical activity and diagnosis with diabetes without controlling for any potential confounding variables. The chi-square test of independence can provide information on whether the observed frequency distribution of the two categorical variables (physical activity and diagnosis with diabetes) is significantly different from what would be expected by chance. If the p-value is less than 0.05, it indicates that there is a statistically significant association between physical activity and diagnosis with diabetes, suggesting that physical activity may play a role in preventing or managing diabetes.
![/data # iw --debug dev wlan0 connect -w "lucky-5g" auth open key 0:1234567890
Usage: iw [options] dev connect [-w] [] [] [auth open|shared] [key 0:abcde d:1:6162636465] [mfp:req/opt/no]
Join the network with ...](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162239148267954.png)
![驱动代码
void kalRxTaskletSchedule(struct GLUE_INFO *pr)
{
static unsigned int num = 0;
tasklet_hi_schedule(&pr->rRxTask[(num++)%NR_CPUS]);
// tasklet_hi_schedule(&pr->rRxTask);
DBGLOG(HAL, ERROR,](https://linuxcpp.0voice.com/zb_users/upload/2023/05/202305162226144313964.png)
